About the Team 

The DMP team plays a critical role in Roku’s Advertising organization, leading initiatives around audience management that power decision-making across the advertising ecosystem. We develop and manage products that enable advanced segmentation and audience management for advertisers while meeting the operational needs of internal teams. 

We work closely with Product Managers, Machine Learning, Ad Sales, Ads Operations, and multiple groups within Advertising Engineering to deliver high-impact solutions.  

Looking ahead, we are exploring AI-driven capabilities to further enhance the effectiveness of advertising campaigns and improve operational efficiency of our platforms. 

About the Role 

We are seeking a highly skilled Senior Software Engineer with deep expertise in big data technologies, including Apache Spark and Apache Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing. 

In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products and APIs that power critical capabilities across the advertising platform. You will work with technologies such as Apache Spark, Apache Airflow, ScyllaDB/Cassandra, Aerospike, Kubernetes, and SpringBoot to deliver reliable, high-performance solutions. 

The ideal candidate is a proactive, self-motivated professional with a strong track record in building high-scale data services and a dedication to delivering exceptional results. 

What You’ll Be Doing 

Software Development 

• Design and build APIs and backend services using Spring Boot to support data products and audience management workflows. 

• Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews. 

Big Data Engineering 

• Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow. 

• Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance. 

• Develop and fine-tune complex queries using Apache Spark for large-scale datasets. 

• Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency. 

API and Platform Development

• Design, Development, and maintain large scale, low latency API systems using SpringBoot and Kubernetes

• Maintain NoSQL Infrastructure including ScyllaDB and Aerospike

Collaboration & Mentorship 

• Partner with the machine learning team, software engineers, and other teams to deliver integrated, high-quality solutions. 

• Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering. 

We’re Excited If You Have 

• 8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow. 

• Expertise with at least one of the following ScyllaDB and Aerospike (preferred). 

• Strong understanding of SOLID principles and distributed systems architecture. 

• Proven experience in distributed data processing, data warehousing, and real-time data pipelines. 

• Advanced SQL skills, with expertise in query optimization for large datasets. 

• Exceptional problem-solving abilities and the capacity to work independently or collaboratively. 

• Excellent verbal and written communication skills. 

• Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred) 

• Experience in AdTech, in advertising data platforms and audience management. (preferred)

• Strong programming skills in Python, Java, and/or Scala. (preferred) 

• Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Jenkins & Terraform). (preferred) 

• Expertise in data modeling, schema design, and data visualization tools. Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred) 

• Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). 

#LI-GL1

About the Team 

The DMP team plays a critical role in Roku’s Advertising organization, leading initiatives around audience management that power decision-making across the advertising ecosystem. We develop and manage products that enable advanced segmentation and audience management for advertisers while meeting the operational needs of internal teams. 

We work closely with Product Managers, Machine Learning, Ad Sales, Ads Operations, and multiple groups within Advertising Engineering to deliver high-impact solutions.  

Looking ahead, we are exploring AI-driven capabilities to further enhance the effectiveness of advertising campaigns and improve operational efficiency of our platforms. 

About the Role 

We are seeking a highly skilled Senior Software Engineer with deep expertise in big data technologies, including Apache Spark and Apache Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing. 

In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products and APIs that power critical capabilities across the advertising platform. You will work with technologies such as Apache Spark, Apache Airflow, ScyllaDB/Cassandra, Aerospike, Kubernetes, and SpringBoot to deliver reliable, high-performance solutions. 

The ideal candidate is a proactive, self-motivated professional with a strong track record in building high-scale data services and a dedication to delivering exceptional results. 

What You’ll Be Doing 

Software Development 

• Design and build APIs and backend services using Spring Boot to support data products and audience management workflows. 

• Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews. 

Big Data Engineering 

• Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow. 

• Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance. 

• Develop and fine-tune complex queries using Apache Spark for large-scale datasets. 

• Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency. 

API and Platform Development

• Design, Development, and maintain large scale, low latency API systems using SpringBoot and Kubernetes

• Maintain NoSQL Infrastructure including ScyllaDB and Aerospike

Collaboration & Mentorship 

• Partner with the machine learning team, software engineers, and other teams to deliver integrated, high-quality solutions. 

• Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering. 

We’re Excited If You Have 

• 8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow. 

• Expertise with at least one of the following ScyllaDB and Aerospike (preferred). 

• Strong understanding of SOLID principles and distributed systems architecture. 

• Proven experience in distributed data processing, data warehousing, and real-time data pipelines. 

• Advanced SQL skills, with expertise in query optimization for large datasets. 

• Exceptional problem-solving abilities and the capacity to work independently or collaboratively. 

• Excellent verbal and written communication skills. 

• Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred) 

• Experience in AdTech, in advertising data platforms and audience management. (preferred)

• Strong programming skills in Python, Java, and/or Scala. (preferred) 

• Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Jenkins & Terraform). (preferred) 

• Expertise in data modeling, schema design, and data visualization tools. Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred) 

• Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). 

#LI-GL1

About the Team 

The Ads Analytics team plays a critical role in Roku’s Advertising organization, leading measurement and analytics initiatives that power decision-making across the advertising ecosystem. We develop and manage products that deliver actionable insights for advertisers while meeting the operational and analytical needs of internal business teams. 

We work closely with Product Managers, Ad Sales, Ad Operations, Data Science, and multiple other software teams within the Advertising Engineering organization to deliver high-impact solutions.  

Looking ahead, we are exploring AI-driven measurement capabilities to further enhance the effectiveness of advertising campaigns and strengthen internal analytics. 

About the Role 

We are seeking a high skilled Senior Software Engineer with deep expertise in API Development using Spring Boot while also possessing knowledge of Apache Spark-based Big Data pipelines using Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing. 

You will communicate and collaborate heavily with both business and engineering to ensure high quality standards and overall project delivery success. In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products that power critical analytics and measurement capabilities. You will work with technologies such as Apache Spark, Apache Airflow, Trino, Druid, Spring Boot, StarRocks, and Looker to deliver reliable, high-performance solutions. 

The ideal candidate is a proactive, self-motivated professional with a strong track record in building applications and services with a dedication to delivering exceptional results. 

What You’ll Be Doing 

Software Development 

• Design and build APIs and backend services using Spring Boot to support data products and analytics workflows. 

• Write clean, maintainable, and efficient code and tests, ensuring adherence to best practices through code reviews. 

Big Data Engineering 

• Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow. 

• Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance. 

• Develop and fine-tune complex queries and analytics solutions using Druid, Trino, and StarRocks for large-scale datasets. 

• Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency. 

Collaboration & Mentorship 

• Partner with data scientists, software engineers, and other teams to deliver integrated, high-quality solutions. 

• Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering. 

We’re Excited If You Have 

• 8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow. 

• Expertise with at least one of the following: Apache Druid, StarRocks, and Trino. 

• Strong understanding of SOLID principles and distributed systems architecture. 

• Proven experience in distributed data processing, data warehousing, and real-time data pipelines. 

• Strong programming skills in Java, Python, or Scala.

• Advanced SQL skills, with expertise in query optimization for large datasets. 

• Expertise in data modeling, schema design, and data visualization tools.

• Experience building highly scalable, low-latency, APIs.

• Exceptional problem-solving abilities and the capacity to work both independently and collaboratively as needed. 

• Exceptional verbal and written communication skills. 

• Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred) 

• Experience in AdTech, in advertising data platforms and campaign measurement. (preferred)

• Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Terraform). (preferred) 

• Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred)  

• Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). 

About the Team 

The Ads Analytics team plays a critical role in Roku’s Advertising organization, leading measurement and analytics initiatives that power decision-making across the advertising ecosystem. We develop and manage products that deliver actionable insights for advertisers while meeting the operational and analytical needs of internal business teams. 

We work closely with Product Managers, Ad Sales, Ad Operations, Data Science, and multiple other software teams within the Advertising Engineering organization to deliver high-impact solutions.  

Looking ahead, we are exploring AI-driven measurement capabilities to further enhance the effectiveness of advertising campaigns and strengthen internal analytics. 

About the Role 

We are seeking a high skilled Senior Software Engineer with deep expertise in API Development using Spring Boot while also possessing knowledge of Apache Spark-based Big Data pipelines using Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing. 

You will communicate and collaborate heavily with both business and engineering to ensure high quality standards and overall project delivery success. In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products that power critical analytics and measurement capabilities. You will work with technologies such as Apache Spark, Apache Airflow, Trino, Druid, Spring Boot, StarRocks, and Looker to deliver reliable, high-performance solutions. 

The ideal candidate is a proactive, self-motivated professional with a strong track record in building applications and services with a dedication to delivering exceptional results. 

What You’ll Be Doing 

Software Development 

• Design and build APIs and backend services using Spring Boot to support data products and analytics workflows. 

• Write clean, maintainable, and efficient code and tests, ensuring adherence to best practices through code reviews. 

Big Data Engineering 

• Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow. 

• Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance. 

• Develop and fine-tune complex queries and analytics solutions using Druid, Trino, and StarRocks for large-scale datasets. 

• Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency. 

Collaboration & Mentorship 

• Partner with data scientists, software engineers, and other teams to deliver integrated, high-quality solutions. 

• Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering. 

We’re Excited If You Have 

• 8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow. 

• Expertise with at least one of the following: Apache Druid, StarRocks, and Trino. 

• Strong understanding of SOLID principles and distributed systems architecture. 

• Proven experience in distributed data processing, data warehousing, and real-time data pipelines. 

• Strong programming skills in Java, Python, or Scala.

• Advanced SQL skills, with expertise in query optimization for large datasets. 

• Expertise in data modeling, schema design, and data visualization tools.

• Experience building highly scalable, low-latency, APIs.

• Exceptional problem-solving abilities and the capacity to work both independently and collaboratively as needed. 

• Exceptional verbal and written communication skills. 

• Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred) 

• Experience in AdTech, in advertising data platforms and campaign measurement. (preferred)

• Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Terraform). (preferred) 

• Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred)  

• Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). 

About the team

The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers and Roku. The systems and solutions span across different disciplines and technologies to perform realtime multi-objective optimization with distributed systems at large scale and low latencies. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning, Experimentation and Inference Platform that powers the entire landscape which we continuously evolve over time.

About the role 

In this role you will build teams focused on the Ads Auction and Marketplace to optimize yield, gross profit, perform realtime multi-objective optimization across various short and long term objectives, build control and simulation systems, design and run experiments and extend the experimentation framework. 

You will partner closely with other Engineering, Inventory and Product teams to define the vision and strategy for your group and to build and deliver the roadmap.

What you’ll be doing

• Lead the design, implementation, and evolution of real-time ads auction systems powering Roku’s CTV advertising across The Roku Channel and the Roku platform.
• Own and enhance core auction capabilities including ad pod construction, bid evaluation, ranking, pricing, pacing, budget enforcement, and frequency capping.
• Build low-latency, highly reliable distributed services that operate at massive scale, serving billions of ad opportunities with strict latency and uptime requirements.
• Design auction logic that balances viewer experience (ad load, relevance, repetition) with advertiser performance, publisher yield, and platform revenue.
• Develop and optimize SSP-side auction mechanisms, integrating with multiple DSPs, programmatic demand sources, and direct-sold campaigns.
• Partner closely with product managers, data science, ads research teams to translate marketplace and monetization goals into scalable technical solutions.
• Drive yield optimization through auction design, demand shaping, floor strategies, and pricing experiments.
• Lead experimentation using A/B testing, auction simulations, and offline replay frameworks, and make data-driven decisions based on performance metrics and statistical rigor.
• Ensure auction correctness, fairness, explainability, and transparency, while maintaining compliance with privacy, regulatory, and brand-safety requirements.
• Influence the long-term technical roadmap for Roku Ads by proposing architecture improvements, scalability strategies, and performance optimizations.

We are excited if you have

• 5+ years of experience building large-scale distributed systems
• 5+ years working with cloud-based platforms and infrastructure
• Deep experience in building microservices using Java for container platforms such as Docker or Kubernetes
• Solid understanding of databases SQL and NoSQL
• Hands-on Experience working with AWS, GCP or similar cloud services
• Experience with a breadth of protocols and data formats such as REST, WebSockets, HTTPS, JSON, and Protobuf
• Demonstrated ability to drive timely consensus in design with other senior team members
• Bachelors or Master's degree in Computer Science, Engineering, or equivalent

#LI-MS3

About the team

The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers and Roku. The systems and solutions span across different disciplines and technologies to perform realtime multi-objective optimization with distributed systems at large scale and low latencies. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning, Experimentation and Inference Platform that powers the entire landscape which we continuously evolve over time.

About the role 

In this role you will build teams focused on the Ads Auction and Marketplace to optimize yield, gross profit, perform realtime multi-objective optimization across various short and long term objectives, build control and simulation systems, design and run experiments and extend the experimentation framework. 

You will partner closely with other Engineering, Inventory and Product teams to define the vision and strategy for your group and to build and deliver the roadmap.

What you’ll be doing

• Lead the design, implementation, and evolution of real-time ads auction systems powering Roku’s CTV advertising across The Roku Channel and the Roku platform.
• Own and enhance core auction capabilities including ad pod construction, bid evaluation, ranking, pricing, pacing, budget enforcement, and frequency capping.
• Build low-latency, highly reliable distributed services that operate at massive scale, serving billions of ad opportunities with strict latency and uptime requirements.
• Design auction logic that balances viewer experience (ad load, relevance, repetition) with advertiser performance, publisher yield, and platform revenue.
• Develop and optimize SSP-side auction mechanisms, integrating with multiple DSPs, programmatic demand sources, and direct-sold campaigns.
• Partner closely with product managers, data science, ads research teams to translate marketplace and monetization goals into scalable technical solutions.
• Drive yield optimization through auction design, demand shaping, floor strategies, and pricing experiments.
• Lead experimentation using A/B testing, auction simulations, and offline replay frameworks, and make data-driven decisions based on performance metrics and statistical rigor.
• Ensure auction correctness, fairness, explainability, and transparency, while maintaining compliance with privacy, regulatory, and brand-safety requirements.
• Influence the long-term technical roadmap for Roku Ads by proposing architecture improvements, scalability strategies, and performance optimizations.

We are excited if you have

• 5+ years of experience building large-scale distributed systems
• 5+ years working with cloud-based platforms and infrastructure
• Deep experience in building microservices using Java for container platforms such as Docker or Kubernetes
• Solid understanding of databases SQL and NoSQL
• Hands-on Experience working with AWS, GCP or similar cloud services
• Experience with a breadth of protocols and data formats such as REST, WebSockets, HTTPS, JSON, and Protobuf
• Demonstrated ability to drive timely consensus in design with other senior team members
• Bachelors or Master's degree in Computer Science, Engineering, or equivalent

#LI-MS3

About the role 

Roku is looking for a Sr. Data scientist to join the Core Analytics team supporting our Viewer Product team. In this role, you will leverage data analytics to support and improve our Live product. You will own end-to-end analytics that shape how viewers discover, engage with, and return to Live experiences on Roku. You will work closely with product management and engineering to identify opportunities to create new features, drive their adoption, and generate value for Roku. This individual will investigate and develop solutions to track, monitor and improve our ecosystem. The successful candidate is quantitatively driven, detail-focused, and possesses an elevated level of problem-solving expertise. 

What you'll be doing 

• Analyze structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends and make data-driven decisions 

• Advise on key product development strategy decisions to drive our Live product experience 

• Develop and maintain dashboards, reports, and data visualizations to monitor key metrics for operational and systems health 

• Develop necessary data pipelines to power automation, validation and reporting 

• Collaborate with stakeholders to align data science initiatives with organizational goals and strategy design and execute A/B tests 

• Perform exploratory data analysis on emerging trends and execute advanced analysis across the Roku Platform 

• Providing feedback directly to leadership on performance of various initiatives and untapped opportunities 

We're excited if you have 

• 4+ years of work experience with a bachelor's degree or master's degree in quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering or Computer Science) 

• 4+ years of experience in product analytics. Experience with platforms in the media and entertainment industry preferred 

• Expertise in SQL, SAS, R, Python or other programming language to query data and perform analysis 

• Demonstrated ability to influence quantitatively meaningful business outcomes 

• Hands on experience with visualization tools like Tableau or Looker 

• Have a bias towards action in resolving issues and operate in a high-energy, fast-paced environment 

• Hands on experience in A/B testing and statistical modeling/forecasting 

This role can be based in either Cambridge, or Manchester. You are required to work in the office for 4 days per week, this is the core requirement of the role

#LI-ST1

About the role 

Roku is looking for a Sr. Data scientist to join the Core Analytics team supporting our Viewer Product team. In this role, you will leverage data analytics to support and improve our Live product. You will own end-to-end analytics that shape how viewers discover, engage with, and return to Live experiences on Roku. You will work closely with product management and engineering to identify opportunities to create new features, drive their adoption, and generate value for Roku. This individual will investigate and develop solutions to track, monitor and improve our ecosystem. The successful candidate is quantitatively driven, detail-focused, and possesses an elevated level of problem-solving expertise. 

What you'll be doing 

• Analyze structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends and make data-driven decisions 

• Advise on key product development strategy decisions to drive our Live product experience 

• Develop and maintain dashboards, reports, and data visualizations to monitor key metrics for operational and systems health 

• Develop necessary data pipelines to power automation, validation and reporting 

• Collaborate with stakeholders to align data science initiatives with organizational goals and strategy design and execute A/B tests 

• Perform exploratory data analysis on emerging trends and execute advanced analysis across the Roku Platform 

• Providing feedback directly to leadership on performance of various initiatives and untapped opportunities 

We're excited if you have 

• 4+ years of work experience with a bachelor's degree or master's degree in quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering or Computer Science) 

• 4+ years of experience in product analytics. Experience with platforms in the media and entertainment industry preferred 

• Expertise in SQL, SAS, R, Python or other programming language to query data and perform analysis 

• Demonstrated ability to influence quantitatively meaningful business outcomes 

• Hands on experience with visualization tools like Tableau or Looker 

• Have a bias towards action in resolving issues and operate in a high-energy, fast-paced environment 

• Hands on experience in A/B testing and statistical modeling/forecasting 

This role can be based in either Cambridge, or Manchester. You are required to work in the office for 4 days per week, this is the core requirement of the role

#LI-ST1

About the team 

The Ads Analytics team plays a critical role in Roku’s Advertising organization, leading measurement and analytics initiatives that power decision-making across the advertising ecosystem. We develop and manage products that deliver actionable insights for advertisers while meeting the operational and analytical needs of internal business teams.  

We work closely with Product Managers, Ad Sales, Ad Operations, Data Science, and multiple other software teams within the Advertising Engineering organization to deliver high-impact solutions.   

Looking ahead, we are exploring AI-driven measurement capabilities to further enhance the effectiveness of advertising campaigns and strengthen internal analytics. 

About the role 

We are seeking a high skilled Senior Software Engineer with deep expertise in API Development using Spring Boot while also possessing knowledge of Apache Spark-based Big Data pipelines using Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing.  

You will communicate and collaborate heavily with both business and engineering to ensure high quality standards and overall project delivery success. In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products that power critical analytics and measurement capabilities. You will work with technologies such as Apache Spark, Apache Airflow, Trino, Druid, Spring Boot, StarRocks, and Looker to deliver reliable, high-performance solutions.  

The ideal candidate is a proactive, self-motivated professional with a strong track record in building applications and services with a dedication to delivering exceptional results. 

What you’ll be doing  

Software Development  

• Design and build APIs and backend services using Spring Boot to support data products and analytics workflows.  
• Write clean, maintainable, and efficient code and tests, ensuring adherence to best practices through code reviews.  

Big Data Engineering  

• Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow.  
• Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance.  
• Develop and fine-tune complex queries and analytics solutions using Druid, Trino, and StarRocks for large-scale datasets.  
• Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency.  

Collaboration & Mentorship  

• Partner with data scientists, software engineers, and other teams to deliver integrated, high-quality solutions.  
• Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering. 

We’re excited if you have  

• 10+ years professional software development experience. 
• Experience building highly scalable, low-latency REST services and API frameworks. 
• Able to efficiently write SQL queries and analyze results to explore business problems and inquiries.
• Ability to translate queries and reporting requirements into production-level data processing pipelines.
• Proficient in day-to-day use of Python / Java / Scala.
• Strong understanding of and experience with distributed computing frameworks like Hive/Hadoop and Apache Spark.
• Expertise in data modeling, schema design, and data visualization tools. 
• Experience working in GCP and/or AWS is a plus.
• Experience with JavaScript, Node.js and React is nice to have.
• Experience deploying services on Kubernetes is a plus. 
• Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Terraform) is a plus. 
• Background in computer science or similar quantitative field. 

Are you a strategic thinker with a talent for solving problems and driving tangible business outcomes?  Do you thrive in roles where you get to obsess over consumer business growth and provide data driven insights? If this sounds like you, then we’d love to chat!

As Strategy & Operations Manager, you are responsible for driving efficient growth by providing data driven support in shaping and optimizing our global growth and marketing strategies. Your focus will be on various consumer topics such as customer acquisition, user activity, user retention, and new verticals adoption, on a global level.

Collaborating closely with Marketing Leadership and various stakeholders across the company, you will have the opportunity to obsess over our consumer growth, identify investment opportunities, and help ensure efficient allocation of spend to maximize our ROI, through rigorous monitoring of our key performance metrics.

Your ability to blend analytical problem-solving with business acumen and creative strategic thinking will be critical in steering our company toward sustained long-term success.

What you’ll be doing

• Collaborate with key stakeholders to drive our Growth and Efficiency OKRs, focusing on areas such as New Customer Acquisition, Retention, User Activity, and Cost Per Acquisition (CPA)
• Evaluate the impact of selected marketing tactics, track our brand performance and develop our marketing funnel strategies (e.g. to improve the awareness and consideration of Wolt)
• Facilitate weekly business review meetings and collaborate daily with Regional Marketing Directors and Regional Heads of Strategy & Planning
• Provide data driven insights for the allocation of our marketing budget across various channels, funnel stages and incentives, both online and offline, in order to optimize the growth of the platform
• Manage global Business Development projects, such as building new investment frameworks and scaling them across the markets
• Lead and coordinate global acceleration initiatives driven by the growth and marketing teams to help ensure consistent execution, impact and follow-up
• Facilitate knowledge exchange and maximize performance by collecting and sharing best practices across different regions and markets

 Our Humble Expectations

• You have 4+ years of work experience within similar industries, consulting, investment banking, technology or related. Experience from e-commerce, digital marketing as well as growth strategy is a plus.
• You enjoy solving problems, you are comfortable with data and have solid analytical skills and are experienced with online analytical tools (SQL a plus)
• You have experience in forecasting, financial planning & budget allocation
• You have an analytical approach when using data to design, develop and execute marketing strategies
• You have excellent Excel and data handling skills
• You have strong attention to detail and ability to own a project, work independently and ask for guidance when needed
• You do not shy away from getting your hands dirty, building and testing - you have prior experience in a fast-moving environment with a strong focus on achieving targets and getting things done
• You communicate clearly and concisely in written and verbal comms and are fluent in English

Boomi provides the foundation on which your business can evolve and innovate. According to a recent survey by Vanson Bourne, connected businesses are far outpacing their competitors. We help organizations connect everything and engage everywhere across any channel, device or platform. More than 7,000 organizations are using Boomi to run better, faster and smarter.

Working at Boomi means doing what you love. We hire trailblazers with an entrepreneurial spirit who can solve challenging problems, make a real impact in technology and want to build something big. If you are passionate about solving hard problems, enjoy working with world-class people and developing cutting edge technology, you should explore a career with Boomi. Learn more at http://www.boomi.com/  or visit Boomi Careers.

Here in Boomi Professional Services, we pride ourselves on our industry leading expertise, high quality delivery and outstanding customer experience that leads to the “right first time” fast time to value service that our customers receive. This is a key reason why customers choose Boomi and Boomi Professional Services. In this role, you will implement the Boomi platform and develop Boomi integrations and APIs for our customers. Join us to do the best work of your career and make a profound social impact as a Boomi Integration Platform Developer in our Professional Services team.

Location: Spain/UK/Germany/France/Netherlands

Key Responsibilities  

As a Boomi Integration Platform Developer you will be supporting Boomi Platform implementation remotely for the clients based all over Europe, Middle East and Africa region. Travelling of up to 20% of the work time might be required. 

Your core duties will include, but are not limited to:  

• Working closely with Project Managers from the region to design and develop integration solutions. 

• Evaluating customer applications to assess integration approach. 

• Being a product expert of Boomi applications including the AtomSphere integration platform and learning other parts of the Boomi platform. 

• Recommending best practices for implementing, managing, and governing integrations using the Boomi AtomSphere integration platform. 
• Defining and promoting the adoption of best practices of Boomi's products across the internal and external user community. 
• Providing support and coaching to junior team members.

Essential requirements   

• Multiple years of experience working with enterprise integration tools, middleware technologies, and application and data integration patterns including JMS, SOAP/REST web services, databases. 

• Practical experience implementing services-oriented architecture design and enabling technologies including messaging, XML, JSON, web services, and HTTP. 

• Advanced knowledge of common business systems (CRM, SFA, ERP) and processes (lead to cash, requisitions, order management, etc.) 

• General knowledge of key application infrastructure components such as VMware, storage (NAS, SAN, SMB), Java JVM, networking (firewall, load balancing, proxies). 

• Good communication and interpersonal skills combined with fluent knowledge of written and spoken English. 

Desirable requirements  

• Database skills including SQL, data modelling, and databases (e.g. MS SQL Server, MySQL, Oracle).

• Development scripting skills with Java, Groovy, JavaScript.

• 1 year plus experience using the Boomi platform would be advantageous.
• Experience working in a professional services consulting business / working directly with customers.
• Experience providing coaching and support to junior team members.

• Additional language capabilities other than English.

What you’ll achieve

As a Consultant you will work closely with customers to understand their requirements, assist with project scoping and build innovative solutions to solve business problems. You’ll have the opportunity to learn more about the Boomi platform and grow your skills as a developer/consultant. You will be joining Boomi at an exciting time of growth and innovation.

#LI-LM1

About PlayStation Game Analytics

In Games and Publishing Analytics, we work with some of the most legendary studios in the world, supporting teams behind PlayStation franchises such as Uncharted, The Last of Us, Ghost of Yotei, God of War, and Helldivers 2. We provide end-to-end analytics for PlayStation Studios, helping teams understand players, evaluate game systems, and make data-informed decisions from early development through launch.

We're looking for a Senior Game Data Analyst who brings strong analytical fundamentals, game curiosity, and the judgment to turn messy questions into practical insight.

What you will be doing

As a Senior Game Data Analyst, you'll partner with game teams and publishing stakeholders to answer complex questions about player behavior, feature performance, commercial outcomes, and long-term game health.

You will:

• Lead analysis across player behavior, feature and content performance, monetization, and overall game health.

• Turn ambiguous design, product, and publishing questions into clear analytical plans and recommendations.

• Develop proxy metrics for player-experience goals such as pacing, challenge, friction, agency, and build diversity.

• Combine telemetry, playtests, surveys, sentiment, and product context to evaluate whether features are landing as intended.

• Apply judgment to imperfect evidence, including small samples, pre-launch tests, incomplete telemetry, noisy signals, and bias.

• Support commercial questions around launch, acquisition, segmentation, campaigns, and franchise health.

• Build dashboards and analytical frameworks that support consistent decision-making.

• Communicate insights clearly across design, product, publishing, research, engineering, data science, and leadership.

What we are looking for

• Strong SQL skills and experience working with large behavioral datasets, especially event-level gameplay data.

• Strong exploratory analysis skills and the ability to turn raw gameplay data into clear insight.

• Experience analyzing player behavior and game systems, including progression, combat, economy, difficulty, matchmaking, feature adoption, engagement, retention, or segmentation.

• Experience partnering directly with designers, producers, product managers, researchers, engineers, or game leadership.

• Ability to distinguish between similar-looking behavioral signals, such as challenge versus frustration, friction versus intentional difficulty, novelty versus durable engagement, or confusion versus experimentation.

• Strong communication skills, with the ability to explain what the data supports, what remains uncertain, and what teams should do next.

• A background in statistics, mathematics, economics, computer science, or another applied quantitative discipline.

Domain Experience

• 4+ years of analytics experience in the games industry, ideally supporting game development, live operations, player behavior analysis, feature evaluation, or gameplay systems.

• 2+ years of experience working on a shipped game, live service game, or game team operating through rapid development cycles such as playtests, launch, live events, or content releases.

• Familiarity with the realities of game development, including changing priorities, incomplete information, telemetry gaps, cross-functional dependencies, and decisions that cannot wait for perfect data.

Bonus Points if You Have

• Experience with Python, R, or statistical tooling for experimentation, causal inference, metric validation, forecasting, or behavioral modeling.

• Experience with Looker, Power BI, MicroStrategy, Tableau, or another BI tool with a semantic layer.

• Familiarity with Git or other reproducible analysis workflows.

• Experience across live service or games with complex progression, economy, combat, content, or social systems.

• Familiarity with publishing or commercial analytics, including acquisition, launch performance, campaign impact, monetization, forecasting, or franchise health.

Role & Team

As a Data Engineering Manager, you will lead across several cross-functional teams, managing up to ~10 data engineers and GIS specialists. You will support teams working on data processing and pipelines to enable ML-powered product capabilities.

Our product teams are cross functional and will typically include product managers, designers, engineers and subject matter experts relating to the team’s domain.

You will be accountable for the technical direction and delivery outcomes of your area. You will challenge your teams to pursue ambitious goals while providing a high level of support — growing engineering talent and fostering a highly collaborative, team-based environment where people can do great work.

Your primary focus will be on building high-performing teams and driving results through others. You will not be expected to spend significant time doing hands-on coding; however, you will be expected to dive deep technically when required and leverage your experience to support strong technical decision-making.

Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)

What You'll Do

• Enable our data engineers to become highly productive members of their cross-functional teams, empowering them to ship high-quality, reliable data platforms and pipelines on a daily basis.
• Grow the teams by attracting great talent from your network.
• Foster an inclusive and caring culture where everyone can do their best work.
• Provide regular 1:1 coaching and feedback to tap into the potential of all your team members and help them thrive and reach their aspirations.
• Be a strategic partner to product managers, machine learning engineers, and other stakeholders within your domains and ensure that we are making the correct data architecture and platform decisions that balance short and long term goals.
• Ensure suitability of the data architecture, pipelines, and data models within your domains to enable longer term product, analytics, and machine learning goals.
• Work closely with the other Product & Engineering leaders on strategy, technology and people, including improving our data engineering practices and introducing capabilities that can accelerate data access, reliability, and unlock new product and data-driven opportunities

Skills & Experience

• Experience working in a high growth scaleup environment
• Passionate about climate
• Product minded and able to demonstrate significant impact you have had on a business through the application of data platforms and data-driven systems
• 2+ years experience leading and managing data engineers across multiple teams
• Experience working with the following (or similar) technologies: Python, SQL, data pipeline orchestration tools (e.g., Airflow, Dagster), data warehouses/lakehouses, Postgres DB, data pipelines
• Ability to unblock your team by contributing at a senior engineering level (e.g., reviewing data models, debugging pipelines, guiding architecture). How hands-on you'll be in this role will depend on team size and maturity
• Comfortable working in a build it, run it environment (GCP, cloud run, grafana, k8s) - or similar, with an understanding of data reliability, observability, and pipeline operations
• Strong leadership skills with the ability to mentor and coach engineers at all levels
• Excellent communication skills and ability to collaborate effectively in a cross-functional team environment
• Passion for learning and staying updated with evolving technologies and industry trends, particularly in data engineering and data infrastructure

Nice To Have

• Experience working with maps/imagery/geospatial domains  

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits 
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Growth Marketing is a team of performance-driven marketers and channel specialists. We partner closely with growth, creative, analytics and regional marketing to drive revenue through self-serve and sales motions. We work globally, across all Stripe offerings and with all company segments - from startups to the largest enterprises.

What you’ll do

Stripe is seeking an SEO to lead the SEO strategy for Stripe Docs, in close partnership with the Global SEO Lead. This individual will play a key role in growing the SEO channel by developing and executing efforts to increase Stripe’s revenue and visibility. The scope includes on-site optimization, content development, international SEO, and technical SEO.

While the ideal candidate is well-versed in all SEO disciplines, sensibilities around user-experience, design, engineering, copywriting, data, product management, and marketing are also required. In this role, you will work closely with cross-functional partners, including Growth Marketing, Product Marketing, Content Marketing, Engineering, Developer Relations, Design, Product, and Analytics. 

Responsibilities

• On-site optimization: enhance the website’s content and structure to improve search engine rankings and user experience.
• International SEO: develop strategies to optimize the website for multiple countries and languages, driving global visibility and engagement.
• Technical SEO: address backend improvements to ensure the website is compatible and optimized for search engine technologies and LLM agents.
• Roadmap development: develop strategic plans outlining key SEO initiatives and timelines to achieve short-term and long-term objectives.
• Performance reporting: analyze and report on KPIs to track progress and identify opportunities for further enhancement.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 4+ years of experience crafting and executing SEO strategies.
• Motivated self-starter with high attention to detail, strong follow-through, and the ability to problem-solve independently and carry out tasks with autonomy.
• Tech savvy and cognizant of developments in technology/fintech. 
• Deep expertise in researching and interpreting search queries for developer audiences.
• Basic experience with HTML, CSS, and other web programming acumens.
• Deep expertise in all disciplines of SEO, including technical, on-site, and off-site SEO.
• Ability to develop and prioritize content roadmaps to build net new pages that drive incremental business performance.
• Data-driven, and results-oriented leader that’s proficient in B2B and SEO performance data.
• Proven track record of building scalable systems to successfully execute SEO plans.
• Deep expertise in IA and site architecture.
• Ability to develop exhaustive creative briefs for cross-functional execution. 
• Excellent communication, presentation, and soft skills (written and verbal) to effectively evangelize and educate on SEO internally.
• Strong cross-functional collaborator with the ability to build relationships and simplify complex topics for partners. Must possess intermediate sensibilities in user-experience, design, engineering, copywriting, conversion rate optimization, data, product management, and marketing
• Ability to develop and prioritize roadmaps that successfully deliver on business objectives.
• Excellent international SEO skills.
• Strong experience creating performance reporting and measuring success.
• Ability to work extensively in Google Drive apps (Docs, Sheets, Slides), Excel, Looker, Tableau, Google Analytics and other reporting software.
• Experience managing stakeholders, with the ability to handle multiple work streams and requests from a variety of stakeholders, balancing each of them to deliver on the true north objectives of the channel and business.
• Strong experience using a variety of SEO tools, including Google Search Console, Google Keyword Planner, SEMRush, and ScreamingFrog.
• Proficient in professional English literacy.

Preferred qualifications

• Experience crafting SEO strategies to acquire technical users (i.e. engineers) and/or partnering closely with Developer Marketing or Developer Relations is highly preferred.
• In-house, enterprise SEO experience is highly preferred.
• Intermediate software engineering background.
• Experience in the following industries: payments, fintech, billing, accounting, tax, startups, enterprise business, and platforms.
• Experience optimizing YouTube video content for search. 
• Multilingual literacy is advantageous in any of: German, French, Japanese, Italian, and/or Spanish.
• Experience with localization / translation.
• B2B experience.
• SQL experience and ability to gather data.
• Experience with telemetry and web analytics.
• Bachelor's degree or 4 years relevant experience.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Technical Account Managers work cross-functionally to support Stripe’s largest and most complex users. Through trusted relationships we offer customized, strategic consultations and proactively identify opportunity areas to help businesses deliver more value to their customers, optimize technical operations on their teams, and accelerate their global growth with Stripe.

What you’ll do

Responsibilities

•  Provide a Gold Standard Experience to your assigned accounts’ key stakeholders
• Work with the wider Operations team to provide current state, resources and knowledge to enable Gold Standard Experience across teams interacting directly with the user via support channels, external documentation, or product/feature feedback or development
• Foster long term user relationships that grow loyalty to Stripe and Stripe products
• Work cross-functionally both internally and within your user’s organizations to provide and implement operational solutions on subjects not limited to fraud/disputes, declines, product adoption and global expansion
• Work closely with Customer Success and other user facing teams as part of a larger effort to support users on Stripe
• Lead user facing meetings both in person and through video chat
• Collaborate on the continued design of this support offering
• Create user-facing content for long term solutions

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• Minimum 3 years experience in enterprise level client-facing work
• Strong product sense and energized by the challenge of solving difficult user related problems
• Strong written and verbal communication skills in English
• Ability to lead complex integration conversations in a highly consultative and proactive manner
• Familiarity with APIs and able to explain API concepts to Stripe’s largest and most technical customers
• Familiarity with SQL and is comfortable building basic queries and modifying more complex ones
• Strong technical troubleshooting skills and is comfortable interfacing with technical teams
• A professional, confident and collaborative personality; an adept client relationship manager, capable of engaging in business-level and technical conversations at multiple levels of the organization

Preferred qualifications

•  Operations savvy mindset, with an ability to identify and eliminate process friction while continuing to build scalable processes
• Experience practicing in small to medium scale project management
• Strong organizational skills and self-starting mindset
• Ideal experience with tools like Postman, xCode, Python, Webhooks, ETL 
• Ideal experience in the payments industry

Your Role

We’re hiring Senior Engineers to join one of our cross-functional product teams in our Human Performance group, which is focused on building cutting-edge solutions for athletes and sports teams that directly impact how they train, compete and achieve peak performance.

As a Senior Engineer, you’ll:

• Work with a cross-functional team. You’ll collaborate with Engineering, Quality Assurance, Product, Design and Scrum disciplines to deliver full-stack web features. 
• Develop and deliver. Your team has the autonomy to make a meaningful impact across the entire product area, listen to customers' needs and deliver game-changing features to push the boundaries of what they can achieve. Your team is empowered to take ownership of the user experience to support our coaches and athletes.
• Test new ideas. At Hudl, we iterate rapidly, deploying changes to the product hundreds of times daily across our Engineering team. In addition to working on concrete features, you’ll have the opportunity to propose solutions to more ambiguous technical problems and provide guidance to less experienced engineers.
• Mentor. You’ll share your expertise and educate others on development best practices and trade-offs, setting an example in planning, designing and delivering complex projects. 

This role requires 3 days in the office per week, so we're currently considering candidates who live within a commuting distance of our offices in Barcelona.

Must-Haves

• Experienced. You have either led or played a key role in developing large-scale applications.
• A team player. You understand that problem-solving is a team effort and will help others on our Engineering team learn and develop their skills.
• User-focused. You’re excited to have your work used by real people to solve real problems.
• Willing to learn. You have solid engineering skills but are always willing to dive into specific areas to gain the expertise needed to be successful in your role.

Nice-to-Haves

• Tech stack knowledge. Our core stack is C#/Node, React, TypeScript, MongoDB/SQL/ElasticSearch and AWS, so experience with these is ideal.

Our Role 

• Champion work-life harmony. We’ll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too.
• Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you’ll own your work and have the agency to try new ideas.
• Encourage career growth. We’re lifelong learners who encourage professional development. We’ll give you tons of resources and opportunities to keep growing.
• Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. But whether you’re at the office or working remotely, we’ll provide you the tech you need to do your best work.
• Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees—but no matter where you’re located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health.

Compensation

We make compensation decisions based on an individual's experience, skills and education in line with our internal pay equity practices. 

This role will also be eligible for a long-term incentive (LTI) award. Any bonuses awarded are based on individual and company performance paid at Hudl's discretion. 

Your Role

We’re hiring Senior Engineers to join one of our cross-functional product teams in our Human Performance group, which is focused on building cutting-edge solutions for athletes and sports teams that directly impact how they train, compete and achieve peak performance.

As a Senior Engineer, you’ll:

• Work with a cross-functional team. You’ll collaborate with Engineering, Quality Assurance, Product, Design and Scrum disciplines to deliver full-stack web features. 
• Develop and deliver. Your team has the autonomy to make a meaningful impact across the entire product area, listen to customers' needs and deliver game-changing features to push the boundaries of what they can achieve. Your team is empowered to take ownership of the user experience to support our coaches and athletes.
• Test new ideas. At Hudl, we iterate rapidly, deploying changes to the product hundreds of times daily across our Engineering team. In addition to working on concrete features, you’ll have the opportunity to propose solutions to more ambiguous technical problems and provide guidance to less experienced engineers.
• Mentor. You’ll share your expertise and educate others on development best practices and trade-offs, setting an example in planning, designing and delivering complex projects. 

For this role, we're currently considering candidates who live within a commuting distance of our offices in London. But with our flexible work policy, there aren't any current requirements for the number of days you come to the office.

Must-Haves

• Experienced. You have either led or played a key role in developing large-scale applications.
• A team player. You understand that problem-solving is a team effort and will help others on our Engineering team learn and develop their skills.
• User-focused. You’re excited to have your work used by real people to solve real problems.
• Willing to learn. You have solid engineering skills but are always willing to dive into specific areas to gain the expertise needed to be successful in your role.

Nice-to-Haves

• Tech stack knowledge. Our core stack is C#/Node, React, TypeScript, MongoDB/SQL/ElasticSearch and AWS, so experience with these is ideal.

Our Role 

• Champion work-life harmony. We’ll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too.
• Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you’ll own your work and have the agency to try new ideas.
• Encourage career growth. We’re lifelong learners who encourage professional development. We’ll give you tons of resources and opportunities to keep growing.
• Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. But whether you’re at the office or working remotely, we’ll provide you the tech you need to do your best work.
• Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees—but no matter where you’re located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health.

Compensation

We make compensation decisions based on an individual's experience, skills and education in line with our internal pay equity practices. 

This role will also be eligible for a long-term incentive (LTI) award. Any bonuses awarded are based on individual and company performance paid at Hudl's discretion. 

As a Staff Data Scientist, you will lead innovation in experimentation and causal inference, helping shape the future of decision-making and product innovation at SIE. You will drive innovative research in experimentation methodologies while mentoring other team members. You’ll be responsible for elevating our experimentation strategy, fostering a culture of curiosity and rigor, and helping cross-functional teams deliver player-first experiences through strong evidence-based decisions.

What You’ll Be Doing:

• Drive innovation in experimentation research by shaping measurement frameworks and best practices, and by developing new methodologies that enhance the quality, speed, and scalability of experiments.
• Advance experimentation infrastructure and tooling, incorporating statistical and machine learning methods to refine analytical capabilities.
• Mentor and guide less-senior data scientists, building expertise in experimentation and causal inference while providing technical direction to ensure rigor and impact.
• Partner with product managers and business leaders to identify high-impact experimentation opportunities and align them with PlayStation’s strategic goals.
• Act as a thought leader in experimentation and causal inference, evangelizing best practices and fostering learning across teams.
• Contribute to research and prototyping of novel experimentation techniques that address complex real-world challenges, such as user behavior variability and data limitations.
• Champion a data-driven culture by establishing experimentation standards, ethical practices, and reproducibility
• Represent the team’s insights and innovations across the broader data science and product communities within PlayStation.
• Stay at the forefront of the field by monitoring emerging developments in experimentation, causal inference, and applied machine learning to continuously evolve capabilities.

What We’re Looking For:

• Master’s Degree or equivalent experience in Applied Math, Economics, Statistics, Computer Science, or related field. Ph.D. or equivalent experience preferred.
• Strong familiarity with the gaming industry and contemporary gaming experiences.
• 8+ years of experience in data science, including extensive hands-on work in experimentation, with at least 2+ years in a mentoring or technical leadership capacity.
• Proven track record of leading experimentation innovation and scaling frameworks within a dynamic business environment.
• Proficiency in SQL and statistical programming languages (e.g., R or Python), especially for causal inference, experimental analysis, and scalable modeling.
• Expertise in causal inference techniques and designing both randomized and quasi-experiments.
• Demonstrated ability to collaborate cross-functionally and influence data strategies that inform business and product decisions.
• Excellent communication and storytelling skills, especially in conveying complex concepts to non-technical stakeholders.
• Experience working with modern data engineering and visualization tools (e.g., Airflow, Git, Tableau, MicroStrategy).
• A strong sense of ownership and an inclusive leadership style that encourages collaboration and innovation.

Benefits:

• Discretionary bonus opportunity
• Hybrid Working (within Flexmodes)
• Private Medical Insurance
• Dental Scheme
• 25 days holiday per year
• On Site Gym
• Subsidised Café
• Free soft drinks
• On site bar
• Access to cycle garage and showers

Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.

Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. 

PlayStation Game Analytics

In Game Analytics, we partner with product, design, engineering, and marketing teams to improve player experiences through data. Our focus is on helping teams make better decisions by embedding experimentation, lifecycle thinking, and player/customer insights into how products evolve over time. We work across PlayStation Studios and platform teams to support rapid iteration, personalisation, and long-term engagement in live service environments.

As a Lifecycle Data Analyst, you will work as part of a cross‑disciplinary team focused on improving player/customer journeys through experimentation and lifecycle optimisation. This role is heavily oriented toward experiment design, scalable measurement frameworks, and exploratory analysis that inform personalised lifecycle content and messaging.

As a Data Analyst, you will work closely with cross-functional partners to support analytics initiatives across one or more game titles. You will support a broad range of game analytics projects from early feature evaluation through live performance optimisation. You will contribute to experimentation, feature analysis, performance reporting, and exploratory research that informs product and business decisions.

You will:

• Design and analyse experiments (A/B tests, holdouts, quasi-experiments) to evaluate features, content, and player-facing initiatives.
• Conduct exploratory analysis of player behavior, engagement, and monetisation data to uncover insights and inform recommendations.
• Define and track KPIs related to engagement, retention, progression, and revenue.
• Build repeatable analytical frameworks, dashboards, and data products that enable consistent measurement across teams.
• Translate ambiguous product or business questions into clear analytical approaches and actionable insights.
• Partner with Product Managers, Designers, Engineers, and Publishing teams to align on success metrics and measurement strategies.
• Support both short-term analysis needs (e.g., feature readouts) and longer-term performance tracking.
• Ensure analytical rigor and data quality across all workstreams.

What We Are Looking For

We’re looking for an analyst who thrives in collaborative, fast-moving environments and enjoys solving complex problems with data.

You have:

• Strong experience in experiment design and analysis, including hypothesis definition, metric selection, and interpretation of results.
• Advanced SQL skills and experience working with large-scale behavioural datasets.
• Experience creating scalable analytical frameworks or standardised reporting tools.
• Strong exploratory analysis skills and the ability to generate clear, structured insights.
• Experience translating business questions into analytical plans and recommendations.
• Experience working cross-functionally with Product, Design, Engineering, or Marketing teams.
• Experience with data visualisation tools such as Looker or Tableau and strong written communication skills.

Domain Experience

Experience working on live or rapidly iterated digital products is required (gaming experience is strongly preferred but not mandatory).

Relevant backgrounds include:

• Console or mobile games
• Live service products
• Ecommerce or subscription platforms
• Other digital products where experimentation and engagement measurement are core

Familiarity with player engagement, retention, progression systems, and monetization models is preferred.

Bonus Points If You Have

• Experience supporting live service games or ongoing content releases.
• Experience with Python or statistical tooling for deeper analysis.
• Experience building dashboards or scalable analytics products used by non-technical stakeholders.
• Curiosity-driven mindset and a strong desire to improve how teams learn from data.

As a Data Science Manager, you will lead both people and innovation in experimentation and causal inference, helping shape the future of decision-making and product innovation at SIE. This is a hands-on leadership role blending technical depth with managerial responsibilities. You will drive cutting-edge research in experimentation methodologies while mentoring and guiding a team of data scientists. You’ll be responsible for elevating our experimentation strategy, fostering a culture of curiosity and rigor, and helping cross-functional teams deliver player-first experiences through strong evidence-based decisions.

What You’ll Be Doing:

• Lead a team of data scientists focused on experimentation and causal inference; provide technical direction, career development, and mentorship.
• Drive innovation in experimentation research by developing and overseeing new methodologies and frameworks that improve the quality, speed, and scalability of experiments.
• Guide the advancement of experimentation infrastructure and tooling, incorporating statistical and machine learning methods to refine analysis capabilities.
• Partner with product managers, game studios, and business leaders to identify high-impact experimentation opportunities and ensure alignment with PlayStation’s strategic goals.
• Act as a thought leader in experimentation and causal inference, evangelizing best practices and fostering learning across teams.
• Contribute directly to research and prototyping of novel experimentation techniques that address complex real-world constraints, such as user behavior variability and data limitations.
• Champion the growth of a data-driven culture by advocating for experimentation standards, ethical practices, and reproducibility.
• Represent the team’s insights, innovations, and impact across the broader data science and product communities within PlayStation.
• Stay abreast of emerging developments in experimentation, causal inference, and applied machine learning to continuously evolve our capabilities.

What We’re Looking For:

• Master’s Degree or equivalent experience in Applied Math, Economics, Statistics, Computer Science, or related field. Ph.D. or equivalent experience preferred.
• Strong familiarity with the gaming industry and contemporary gaming experiences.
• 6+ years of experience in data science, including hands-on work in experimentation, with at least 2+ years in a formal people management or technical leadership role.
• Proven track record of leading experimentation innovation and scaling frameworks within a dynamic business environment.
• Proficiency in SQL and statistical programming languages (e.g., R or Python), especially for causal inference, experimental analysis, and scalable modeling.
• Expertise in causal inference techniques and designing both randomized and quasi-experiments.
• Demonstrated ability to collaborate cross-functionally and influence data strategies that inform business and product decisions.
• Excellent communication and storytelling skills, especially in conveying complex concepts to non-technical stakeholders.
• Experience working with modern data engineering and visualization tools (e.g., Airflow, Git, Tableau, MicroStrategy).
• A strong sense of ownership and an inclusive leadership style that encourages collaboration and innovation.

Analyst, Commercial Insights – Services 

London, UK (Collab)

Role Overview 

PlayStation is looking for an innovative, detail-oriented, highly motivated Analyst to join our PlayStation Services team. Services sits within the Global Sales and Business Operations organization that manages the PlayStation Plus subscription business, a key revenue generator and innovator for Sony Interactive Entertainment. This role sits within the Planning and Insights team responsible for leading analytics operational excellence in commercial performance, planning, and strategy.  

This role is responsible for insightful and actionable analytics support of our subscription services from a commercial planning standpoint. You will play a critical role in creating data reporting tools, developing methodologies for measuring and forecasting impact to subscriptions, and delivering analytical insights on the performance of offers & promotions, pricing and experience optimizations.  The work you do will directly impact decisions made about the offers and experience made available to PlayStation Plus members. Effective verbal and written communication skills are extremely important, as s/he will collaborate with key stakeholders across a global organization.  

What you will be doing 

• Support the Services Insights team with analysis of commercial and engagement trends across the PlayStation Plus user base, using these insights to inform strategic decisions and improve performance measurability 

• Working across our Commercial, Engagement & Experience and CRO teams, you will be responsible for exploring our subscriptions data for novel insights, deconstructing complex datasets to help improve knowledge of our users 

• Creating recursive frameworks for long term monitoring of business initiatives, helping to identify opportunities for growth and reduce reporting cycle time 

• Working with our Engineering and Reporting teams to democratise insights into actionable outputs 

• Support efforts to optimise our business with experimentation and A/B testing 

• Partner closely with stakeholders within GSBO and other supporting teams to understand and deliver business insights using data 

• Collaborate with data teams across SIE to understand and utilise available tools and resources while contributing learnings and business area expertise to the organization  

What we are looking for 

• Bachelors Degree in a quantitative or computational field or equivalent

• 5+ years experience in analytics related roles 

• Proficient at translating ambiguous business requirements into meaningful analytical insights from start to finish  

• Skilled with SQL, Python and spreadsheet applications (Excel, Google sheets). 

• Knowledge of statistical concepts, subscription metrics and A/B testing 

• Keen attention to detail and ability to deliver high quality analytical work 

• Proven experience creating data visualizations and reports to surface actionable insights  

• Excellent communication skills (written and verbal) 

• Ability to work collaboratively with stakeholders across different teams and levels 

• Strong project management, multi-tasking and organizational skills 

• Ability to adapt quickly in a dynamic, changing, fast-paced business environment 

• Ability to work varying hours as well as a flexible approach to working hours to support global business operations 

Preferred Qualifications 

• Strong technical proficiencies with SQL, Python, Airflow 

• Skilled with visualization tools like Domo, Power BI, Tableau 

• Interest in the gaming industry 

• Knowledge of digital gaming landscape, key players, and competitive offerings 

• Prior experience with subscription businesses preferred 

Role Overview:

Our Data Science Analytics and Enablement (DSAE) team inspires PlayStation to make impactful, customer-centric decisions through seamless integration of data.

Currently there are over 100 people in the global DSAE team, including data science, data governance and analytics professionals. We work closely with engineering and product management teams to deliver data products, insight, predictive analytics, and data visualisation.

Data Scientists in the DSAE team apply sophisticated analytical methods and tools to drive value from the data through methods such as customer segmentation, predictive modelling, forecasting and other algorithms. Our work delivers an in-depth understanding of consumer behaviours and supports multi-channel targeting and personalisation.

We’re seeking a motivated and collaborative Data Scientist to join our CLV & Next Best Action / Personalisation team, which builds models that help PlayStation understand and influence the value, growth, and engagement of our global player base.

By connecting player behaviours to long-term outcomes, our work creates the intelligence that underpins Customer Lifetime Value (CLV) modelling and guides PlayStation’s Next Best Action and Personalisation strategies. You’ll help shape how PlayStation invests in, retains, and delights its players - and advance our use of modern machine learning at global scale.

This is an exciting opportunity to develop your skills in modern machine learning while contributing to high-impact projects that directly influence how PlayStation engages and retains its players.

What You’ll Be Doing:

• Build and validate models for use cases such as churn prediction, purchase propensity, CLV modelling, and personalised engagement.
• Work with sequential and behavioural data, applying machine learning approaches (e.g., gradient boosting, embeddings, sequence models) to capture player behaviour and growth.
• Partner with commercial, finance, and lifecycle teams to translate business needs into modelling hypotheses that inform engagement strategies.
• Collaborate with analytics and engineering colleagues to ensure models are efficient, robust, and scalable.
• Communicate findings clearly to both technical and non-technical partners, ensuring insights drive measurable outcomes.
• Grow your expertise in modern ML approaches (transformers, representation learning, sequence-to-sequence modelling) through high-visibility projects.

What we're looking for:

You’re curious, analytical, and eager to grow your skills in a commercial data science environment. You bring strong fundamentals in modelling and data manipulation, and you’re motivated by the challenge of applying these to impactful business problems.

• Strong analytical and critical thinking skills, with a passion for understanding customer behaviour and enabling data-driven growth.
• Practical experience with predictive modelling, such as churn, propensity, segmentation, or value modelling.
• Proficiency in Python and SQL, with fluency in common data science libraries.
• Ability to work with large datasets to uncover actionable insights that influence marketing, engagement, or retention strategies.
• Interest or early experience in deep learning approaches — such as transformers, embeddings, or sequence models — with motivation to learn and apply them.
• A collaborative attitude, with the ability to work in cross-functional teams.
• A strong academic background (typically with a Master’s in a technical or mathematical field) or equivalent professional experience.

Nice to Have:

• Experience with A/B testing or experimentation frameworks.
• Familiarity with workflow orchestration tools (e.g., Airflow), feature stores, or visualisation platforms (e.g., Tableau, Domo).
• Exposure to gaming, e-commerce, or subscription-based business models.
• Proven experience of analysing and modelling with “big data” technologies.
• A personal interest in gaming and entertainment.

Benefits:

• Discretionary bonus opportunity
• Hybrid Working (within Flexmodes)
• Private Medical Insurance
• Dental Scheme
• 25 days holiday per year
• On Site Gym
• Subsidised Café
• Free soft drinks
• On site bar
• Access to cycle garage and showers

Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.

Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. 

The role 

We are looking for a Data Engineer to join Sony Interactive Entertainment, where data plays a key role in how we build, improve and understand PlayStation experiences around the world.

As part of our Data Engineering team, you will help design, build and evolve the data processing platforms that power reporting, analytics and insight across our global business. Your work will support teams in understanding how our products are used and enjoyed, helping us make better decisions in service of our players.

You will be part of a collaborative and welcoming team that values curiosity, learning and shared problem solving. This role offers the opportunity to take ownership of meaningful work, grow your technical skills, and explore new tools and ideas in a supportive environment. Based in our London office, you will join a diverse team where different perspectives are valued and building great things together is part of the culture.

What you’ll be doing

• Designing, building and maintaining reliable data pipelines and processing components used across the business
• Writing clean, maintainable code and improving performance, data quality and cost efficiency over time
• Taking ownership of defined pieces of work, with support from the wider team, from development through to delivery
• Contributing to technical design, estimation and planning discussions to help the team deliver effectively
• Reviewing code and sharing feedback to support guidelines and collective code quality
• Working closely with project managers, analysts and other engineers to deliver work on time and to a high standard
• Operating comfortably in a fast-paced environment, balancing multiple priorities and adapting as requirements evolve
• Learning and applying new tools, technologies and approaches as the platform and team continue to grow
• Collaborating with teammates across different countries and cultures, with flexibility around time zones and ways of working

What we are looking for

Must have

• Experience as a data engineer (or similar), delivering production-ready, scalable code
• Strong SQL skills and experience with relational and analytical databases
• Programming experience in one or more of Python, Java, C or Spark-based technologies (PySpark, Spark)
• Experience contributing to data platforms handling complex, high-volume data (Databricks)
• Experience with data warehouse or analytical platforms (for example Snowflake or Teradata)
• Understanding of performance and cost considerations in data processing systems
• Strong problem-solving skills and ability to handle multiple priorities
• Clear communication skills, including explaining technical concepts to non-technical partners
• Experience working in UNIX or Linux environments, including shell scripting
• Curiosity and eagerness to learn new tools and technologies
• Eligibility to work in the UK, with ability to travel occasionally to the US and Japan

Nice to have

• Familiarity with additional data processing or integration technologies
• Experience with graphical or low-code data development tools (for example Ab Initio)
• Understanding of data modelling concepts
• Experience translating business requirements into technical solutions

At PlayStation, Data Science plays a critical role in shaping how we invest in, retain, and delight our global player base. The CLV & Personalisation team focuses on understanding player behaviour and driving more effective engagement across the player lifecycle — from acquisition and onboarding through to retention, monetisation, and long-term value. 

As a Senior Data Scientist, you will drive the development of advanced modelling and analytical approaches that influence key commercial and product decisions at scale and are evaluated based on their impact on commercial outcomes. You will work on complex and often ambiguous problems, helping define how we measure player value and how we deliver more personalised player experiences. 

This role combines deep hands-on modelling with ownership of problem definition, approach, and impact. You will work with a high degree of autonomy across ambiguous problem spaces, shaping how data informs strategy and decision-making across the business. 

What You’ll Do 

• Design and deliver advanced machine learning models to drive player value, engagement, and growth across the lifecycle. 

• Own ambiguous problem spaces, defining modelling approaches and breaking down complex business challenges into actionable solutions. 

• Partner with senior stakeholders to shape strategies, and ensure Data Science drives high-impact decisions. 

• Apply advanced machine learning techniques, including deep learning and sequence modelling, where appropriate to capture complex player behaviours and improve model performance. 

• Evaluate and select modelling approaches based on problem context, balancing performance, scalability, and interpretability. 

• Work within cross-functional teams, including engineering, product, and commercial stakeholders, to ensure solutions are scalable, production-ready, and aligned with long-term architecture. 

• Mentor other data scientists and contribute to best practices across the team. 

• Communicate complex modelling approaches, assumptions, and outcomes clearly to senior technical and non-technical audiences. 

What We’re Looking For 

You combine technical depth in machine learning with a proactive, solution-oriented mindset, and the ability to influence strategy and inspire others. You thrive on solving sophisticated problems that deepen PlayStation’s understanding of its players and you use this understanding to inform data-driven decisions and strategies that drive player growth. 

• Proven industry experience delivering impactful, production-ready machine learning solutions in areas such as customer value, retention, or personalisation. 

• Strong expertise in modern machine learning approaches, including applying techniques such as transformers, embeddings, or sequence-based models to real-world behavioural data. 

• Ability to critically assess when advanced approaches are warranted versus simpler solutions. 

• Experience owning projects end-to-end, including problem definition, navigating ambiguity, selecting modelling approaches, and delivering impactful solutions. 

• Ability to work with large, complex datasets and translate them into scalable solutions. 

• Strong stakeholder management and communication skills, with the ability to influence decisions and communicate results persuasively to both technical and non-technical audiences. 

• Proficiency in Python, SQL, and modern ML tooling (such as Tensorflow, PyTorch, MLlib, feature stores); experience with PySpark or equivalent distributed data processing tools. 

• A strong academic background, typically a Master’s or PhD in a technical or quantitative field, specialising in Machine Learning. 

• Experience deploying models into production and maintaining business-critical or consumer facing models. 

Nice to Have 

• Background in gaming, e-commerce, or subscription-based businesses. 

• Industry experience with experimentation frameworks and causal inference. 

• Experience working in agile, fast-paced environments 

• Lead a team of Engineers, setting clear expectations and providing continuous feedback, coaching, and mentoring to ensure success and growth
• Working closely with feature owners, economy, liveops and other development teams to implement feature simulations and technological pipelines for Monopoly GO!
• Driving the implementation of systems that transform raw game data into analytical datasets for simulation and evaluation
• Ensuring technical performance is “Best-in-Class” throughout development
• Writing automated, high-quality tests (unit, integration, load, etc.) and working with QA teams to improve gameplay experience, curtail exploits and ensure that everything works smoothly
• Reviewing Technical Design Documents and provide feedback and guidance to other engineers
• Collaborating and communicating with cross-functional departments including: economy, liveops, qa, etc.
• Participating in a strong engineering team and culture
• Live game support & troubleshooting
• Contributing to technical plans and discussing the workflows and requirements with stakeholders
• Implementing tools to empower our liveops and game design teams in the creation of new and exciting game-play experiences
• Explore AI-assisted tools (LLMs, copilots, automation frameworks) to improve productivity, enhance analysis depth, and accelerate iteration cycles

• 6+ years as part of a professional game development team or other relevant area
• Experience managing people, driving 1:1s and performance reviews, doing follow ups and providing regular feedback to direct reports
• Experience driving and leading the technical execution of complex and interdisciplinary developments
• Mastery of C#, Python or another OO language, including experience with asynchronous and multi-threaded programming paradigms
• Hands-on experience with cloud computing (AWS, GCP...) and low-latency, high-scale distributed systems
• Strong computer science and engineering fundamentals (data structures, concurrency, design patterns, algorithms)
• Strong understanding of game framework architecture at scale, maintainability over time, robust API design, etc.
• Strong knowledge of application design best patterns and practices; understanding of maintainability concerns when designing and implementing applications
• Enjoy solving complex technical problems, especially in large systems
• Willingness to learn and work with new technologies
• You’re a great tech communicator who knows how to share knowledge with non-technical people
• You have a desire to seek out and take on user feedback to drive world class application development
• A passion for games

• Experience building your own games as personal projects or game jams
• Experience with AWS, Docker, Kibana, Ansible
• Experience with automated testing
• Solid experience with SQL and at least one data warehouse (BigQuery preferred)
• Knowledge of probability, applied statistics, and simulation techniques
• Experience with distributed processing tools: Spark, PySpark, or alternatives
• Experience building ETL/ELT pipelines using Airflow, DBT, or similar frameworks
• Experience in gaming, monetization, or game economy
• Familiarity with gameplay logic or LiveOps systems
• Experience developing internal libraries or tools for non-technical teams
• Curiosity for experimenting with AI systems to extend capabilities of existing pipelines or prototype new evaluation methods

At Scopely, we believe in creating a supportive work environment where everyone is treated with respect and inclusivity. We welcome individuals from all backgrounds and are committed to providing equal employment opportunities regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other protected status.

About the role

We’re looking for a strategic finance leader to join Reddit’s International Strategic Finance team, acting as a core partner to International Sales leadership across LCS, Mid-Market, SMB, and Channel Partnerships to drive growth, planning, and execution.

This is not a FP&A or reporting role. 

You will sit at the center of how our international business scales, owning key parts of the P&L, shaping investment decisions, and bringing clarity in a fast growing, high ambiguity environment. You’ll be expected to move beyond analysis and into decision making and influence: not just explaining what happened, but helping determine what we should do next.

You will operate as the second International Strategic Finance hire, helping build systems and discipline to scale the business globally while acting as a key voice in driving profitable growth.

What you’ll do

• Act as a financial steward for the business, ensuring profitability is embedded in all decisions while supporting continued growth
• Evaluate trade offs across revenue, cost, and investment with a focus on long term value
• Work with stakeholders to ensure growth initiatives are both scalable and economically sound
• Partner directly with International Sales leadership to:
• Diagnose performance drivers
• Influence investment and resource allocation decisions
• Lead forecasting for key segments, ensuring clear linkage between pipeline, productivity, and revenue
• Build and institutionalize P&L performance management, including KPI review cadences
• Translate complex data into clear recommendations for senior stakeholders
• Partner cross functionally across Finance, RevOps, Product, Marketing, and Accounting
• Some travel may be required (US / Amsterdam) as the team and business continue to scale.

About you

• 5–8+ years of experience in:
• Strategic Finance / FP&A (preferably SaaS or tech)
• Investment banking (TMT preferred)
• Private equity or growth equity, ideally with exposure to portfolio companies or operating environments
• Consulting or deals with exposure to operating businesses
• P&L fluent with a clear focus on driving profitable growth:
• You understand how businesses make money and evaluate trade-offs across growth, cost, and investment
• You act as the voice of financial discipline in the room
• Analysis is second nature:
• You move quickly from data to insight
• You anticipate key questions and shape analysis to drive decisions
• You use data to challenge thinking and improve outcomes
• Comfortable operating in ambiguity; you structure problems and move forward without perfect inputs
• Strong modeling skills (Excel/Sheets) and SQL familiarity
• Strong communicator with a high ownership mindset

How you work

• You don’t want to report on the business, you want to shape it 
• You naturally think in “ what should we do” instead of “what happened” 
• You challenge stakeholders and ensure alignment on the right decisions
• You operate with intensity, curiosity, and a bias toward action

Why this role is exciting

• True operator and builder 
• You’ll be the second international Strategic Finance hire
• International is one of Reddit’s fastest growing, highest priority focus areas.
• Your work will directly influence how the business scales and where we invest
• You’ll touch forecasting, strategy, operations, and performance and see your work show up in real outcomes.

Benefits UK:

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Group Personal Pension Scheme with Employer match
• Private Medical and Dental Scheme
• Income Replacement Programs
• Bike to Work scheme
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

Venture Global LNG (“Venture Global”) is a long-term, low-cost provider of American-produced liquefied natural gas. The company’s two Louisiana-based export projects service the global demand for North American natural gas and support the long-term development of clean and reliable North American energy supplies. Using reliable, proven technology in an innovative plant design configuration, Venture Global’s modular, mid-scale plant design will replace traditional designs as it allows for the same efficiency and operational reliability at significantly lower capital cost.

Analyst – Performance & Emissions

We are seeking qualified applicants for the position of Analyst - Performance & Emissions to be based in London, UK. 

General Description:

The Analyst - Performance & Emissions will be responsible for monitoring and evaluating vessel performance against TCP warranties, using voyage reports and sensor data. Another key aspect of the role is to capture and analyze data related to VGC’s chartered Fleet’s international emission regulations and enable the day-to-day administration of emission reporting to relevant authorities.

This position will sit within the VGC Shipping Fleet Performance & Emissions Team, reporting directly to the Sr. Manager - Fleet Performance and Emissions, and will play a key role in enhancing value for VGC’s chartered fleet. Strong digital and analytical skills are essential for handling large complex data.

Key Responsibilities:

• Fleet Performance & Emissions Compliance System Development Support:Support the development of systems for monitoring, recording, and evaluating LNG fleet performance and emissions exposure.
• Regulatory Upkeep:Maintain records related to environmental regulations, ensuring data accuracy for submissions to classification societies.
• Performance Monitoring:Assist in monitoring vessel performance and highlighting underperformance against Charterparty warranties.
• Compliance Coordination:Monitor and report on emission compliance requirements, including deadlines and documentary evidence.
• Routing Evaluation:Utilize weather routing and voyage reporting services to assist in evaluating optimized ship routing.
• Analytical Support:Help develop and maintain analytical models to derive various performance and emission KPIs. In addition, there will be analytical needs from Shipping Operations, Chartering
• Platform Collaboration:Collaborate with IT on the development of a live monitoring platform for VGC chartered ships.
• Fleet Management Support:Actively support the management of the LNG carrier fleet through procedure development and software implementation.
• Stakeholder & Claims Support:Foster strong relationships with stakeholders and assist in LNG performance claims management.
• Ad-hoc Tasks:Provide supplementary support and complete tasks as requested by the line manager.

Experience & Skills

Essential

• Experience: Minimum 2+ years in Data Analytics or Data Science.
• Technical Skills: Proficient in Python, Databricks, SQL, Microsoft Power Platform, and Excel.
• Industry Knowledge: Solid understanding of the LNG supply chain, international maritime emission regulations, and LNG Time Charter Parties.
• Education: Bachelor’s degree or professional qualification in a complementary field (Data Science, Computer Science).

Advantageous

• LNG Shipping Operations: Familiarity with cargo scheduling, shipping operations, and LNG marketing.
• Maritime Tech: Experience with vessel design and technologies focused on efficiency and emissions reduction.

Soft Skills

• Data Storytelling: Translates complex findings into clear, actionable insights for any audience.
• Collaborative Partner: Bridges the gap between technical teams and stakeholders through active listening.
• Analytical Rigor: Combines critical thinking with high accuracy to validate results and challenge assumptions.
• Proactive Problem-Solver: Naturally curious; identifies patterns and takes initiative to optimize workflows.
• Project Ownership: Highly organized and accountable; manages multiple priorities in fast-paced environments.
• Adaptability: Thrives in diverse, cross-functional teams and pivots quickly as business needs evolve

Venture Global LNG is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.

#LI-Onsite

Why Verifone

For more than 30 years, Verifone has established a remarkable record of leadership in the electronic payment technology industry. Verifone is one of the leading electronic payment solutions brands and among the largest providers of electronic payment systems worldwide.

Verifone has a diverse, dynamic, and fast-paced work environment in which employees are focused on results and have opportunities to excel. We take pride in working with leading retailers, merchants, banks, and third-party partners to invent and deliver innovative payment solutions around the world. We strive for excellence in our products and services and are obsessed with customer happiness.

Across the globe, Verifone employees are leading the payments industry through experience, innovation, and an ambitious spirit. Whether it’s developing the next generation of secure payment systems or finding new ways to bring electronic payments to emerging markets, the Verifone team is dedicated to the success of our customers, partners, and investors. It is this passion for innovation that drives every Verifone employee toward personal and professional success.

Verifone is proudly an in-office work culture as we see immense benefits to career development and business results from our colleagues being physically co-located.

What's Exciting About the Role

Verifone is seeking an experienced MySQL Lead DBA who will be responsible for ensuring database performance, high availability, and security of clusters and single instances of MySQL instances. You will also be responsible for orchestrating upgrades, backups, HA/DR, and provisioning database instances. You will work closely with other teams, including application architects/ Sr. Developers and application support engineers for architecture design and SQL optimization, establishing and documenting best practices.

We look for dedicated and versatile engineers who are passionate about working in a company whose culture is dedicated to delivering innovative software products that solve our customers’ most challenging business needs. As a Lead DBA, you’ll have the opportunity to make significant and direct impact on our database performance, applications, and solve some of the most complex challenges in cloud and on prem environments, while lead the team from a technical and development perspective.

This hybrid role is open to hiring candidates located in:

• Bucharest, Romania
• London, United Kingdom
• Riga, Lativa
• Warsaw, Poland

Key Responsibilities

You will be responsible for ensuring that database management policies, processes and procedures are established and followed, adhering to ITIL good practice principles and are subjected to continuous improvement as per PCI standards. They will be responsible for reviewing system design changes to ensure they adhere to expected service standards and recommend changes to ensure maximum stability, availability and efficiency of the supported applications.

The candidate should understand the application functionality, business logics and work with application stake holders to understand the requirement and discuss with the new application features and propose the right solutions. He must liaise closely and work in collaboration with the release management teams, support teams and the infrastructure DBAs. 

• Design, Install, Deploy and Manage MySQL on Physical, Virtual, AWS EC2 / RDS / Aurora.
• Build MySQL clusters with a high availability, active-active cluster setup in a large scale and multi datacenter environments having minimum RPO/RTO on a DR scenario
• Design and implement uniform backup strategy and business continuity plans across the MySQL environments using Percona XtraDB or custom automation scripts with reliable monitoring and alerting mechanisms
• Define thorough and validated database monitoring and alerting, along with documentation for future references
• Setup high availability with Master-Master/ Master-slave replication
• Maintain stable performance via server optimizations
• Guide engineering teams to best practices on server configurations and SQL tuning.
• Maintain security and compliance via OS and database version upgrades
• Work with application stake holders to create effective database solutions
• Create and maintain adhoc reports
• Adhere to the incident and change process, prepare thorough documentation, and peer review planned production tasks
• Support application release process, and automations
• Mentor and develop other engineers on MySQL skills

Required Qualifications/Skills

• Minimum 8 years of experience managing MySQL
• Experience with MySQL Active/Active cluster setup, Database Upgrade and Migrations, Scripting
• Experience administrating MySQL on Linux platform
• Experience with MySQL version upgrades in production environments with a zero or very minimum application down time
• Experience with design & architecting MySQL environments using any framework such as Galera Cluster or Percona XtraDB
• Experience deploying database monitoring using at least one of PMM, New Relic, Datadog, Nagios, Grafana, ELK, AppD, etc.
• Infrastructure as Code (IaC) such as Terraform, Ansible, Puppet, Chef
• Proficiency with cloud infrastructure, AWS RDS or equivalent.
• Automation/scripting skills in a modern language like Python, Shell scripting, Go, Java, Rust.
• Proficiency in CI/CD pipelines such as Jenkins, Github Actions, Gitlab.
• Advanced experience with database performance tuning including SQL tuning, hardware configuration and capacity planning.
• Strong technical leadership, mentoring and time management skills.

Preferred Skills (Not Mandatory)

• Experience working with PCI (Payment Card Industry Data Security) standards
• ITIL environment experience
• Deep experience with SQL, stored procedures, functions, triggers, batch jobs, reporting, analytics.
• Experience managing PostgreSQL, SQL Server, and/or Oracle.
• Experience and knowledge with NoSQL and data engineering technologies such as Kafka, Redis, Snowflake, Databricks, Spark, Redshift, ETL, etc.
• Experience with data analytics and Business intelligence

Our Commitment

Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

SLSQ427R253

As a Partner Solutions Architect for Europe, you will work with the technical and sales team members who work directly with our customers. You will develop 'technical champions’ within our top Partners, providing enablement on technical matters related to the Databricks product. Working with our partners, you will help our customers achieve tangible, data-driven outcomes through our Databricks Data Intelligence Platform, enabling data teams to complete projects and integrate them into their enterprise Ecosystem. As a member of our team, you will exercise and develop expertise in those areas, using open source projects such as Apache Spark™, MLflow, and Delta Lake, and major public cloud infrastructure and services. the product. You will use this expertise to become a trusted advisor to C&SI partners.

The impact you will have:

• Provide partners with the level of enablement they need to assist their clients in evaluating and adopting Databricks, including hands-on Apache Spark™ programming and integration with the wider cloud ecosystem.

• Engage with the partner technical community by leading workshops, seminars, and meet-ups.

• You will be a big data analytics expert in architecture and design, and will share this knowledge with our partner network.

• Show expertise by producing creative technical solutions and blog posts.

What we look for:

• 8 years of customer-facing experience working with external clients or partners across a variety of industry markets

• Core strength in either data engineering or data science

• Experience demonstrating technical concepts, including presenting and whiteboarding

• Experience developing architectures within a public cloud (AWS, Azure, or GCP)

• Hands-on experience in SQL, Python, Scala, or Java

• Expertise in at least one of the following:

• Data Engineering technologies (Ex, Apache Spark™, Hadoop, Kafka)

• Data Warehousing (Ex, SQL, OLTP/OLAP/DSS)

• Data Science and Machine Learning technologies (Ex, pandas, scikit-learn, HPO)

Role Summary and Impact

Join an award-winning team at the heart of UK government, where your work will genuinely shape lives. As part of WPP 650 you’ll be part of a supportive, collaborative environment that values curiosity, kindness, and growth. Together, we use behaviour change principles to design smarter services, influence better decisions, and help millions of people across the country.

Named WPP 650, after the 650 UK parliamentary constituencies, the name is a reminder that our work must reflect the full breadth of the country, every community, every audience. No two days are the same. The challenges are complex, the problems worth solving, and the learning constant. You’ll tackle issues that matter, alongside talented colleagues who care deeply about what they do. It’s demanding – but always rewarding.

This is meaningful work with real-world impact – the kind you can point to with pride.  

As a Senior Manager, Data Engineering you will be joining the WPP 650 division of WPP Media’s Data, Technology and Analytics team.

This role involves leading client projects and overseeing the strategic development of solutions that aggregate diverse data sources into a single, unified view. You will act as a subject matter expert and strategic for our Measure data platform – a unified system for data connection, ingestion, transformation, and reporting – built on a robust technology stack including Adverity, GCP, and PowerBI.

You will be responsible for the strategic design and delivery of robust, scalable data engineering solutions that power critical insights and analytics for our diverse client base.

You will be responsible for establishing best practices, quality assurance processes and ways of working that ensure the reporting solutions we deliver are consistently accurate and meeting the needs of our clients. Your core focus will be on partnering with our clients to deeply understand their strategic objectives and challenges. You will also be responsible for fostering a high-performing and collaborative team culture between your direct report, the WPP 650 BI team, and the wider business.  

Skills and Experience

Key Responsibilities

• In partnership with the Senior BI Manager, design, build, and implement robust data engineering solutions and data pipelines, high standards for data quality, reliability, and performance.
• Serve as senior technical liaison and strategic partner to planning teams, client stakeholders, and cross-functional departments, translating business specifications into precise technical requirements for implementation.
• Design and enforce robust validation and auditing processes to ensure the highest levels of data integrity, consistency, and reliability across all platforms.
• Oversee the development and maintenance of data pipelines and data models to power dashboarding solutions delivered via the Measure platform, taking ownership of advanced data model design, dashboard deployment strategies, innovation, and change management.
• Lead initiatives to identify, evaluate, and integrate new data sources and technologies to enhance the Measure platform's capabilities and drive continuous improvement.
• Mentor and guide your direct reports on BI best practices, advanced data modeling, Power BI development, data governance, and effective client engagement.

Essential:

• Experience in designing, architecting, and implementing complex data integration strategies, transforming disparate datasets into unified, high-value data models for advanced analytics and visualization.
• Extensive experience with cloud data platforms, specifically Google Cloud Platform (GCP) services.
• High proficiency in SQL for data manipulation, transformation, and analysis, with an emphasis on optimization and best practices.
• Demonstrated experience in designing, building, and maintaining complex and scalable data pipelines (ETL/ELT).
• Experience with data transformation tools like dbt.
• Experience working with data ingestion tools like Adverity.
• Deep understanding and practical application of data modeling techniques.
• Extensive experience working with digital marketing, media campaign data, ad serving technologies, and/or web analytics data, with the ability to guide a team in this domain.
• Excellent communication, interpersonal, and stakeholder management skills.
• Strong strategic thinking, project management, and problem-solving abilities, with a focus on delivering impactful, high-quality solutions.

Desirable:

• Experience working with dashboarding tools (PowerBi preferred)
• Proficiency in a scripting language like Python.
• Exposure to CI/CD practices for data pipelines.
• Experience with project management tools such as Jira and Confluence.
• Basic understanding of data governance principles.

Life at WPP Media & Benefits

Our passion for shaping the next era of media is powered by our commitment to Be Extraordinary, investing in our employees to inspire transformational creativity. We also Lead Optimistically, firmly believing in and Championing Growth and Development for every individual. This commitment allows WPP Media employees to leverage the extensive global WPP Media & WPP networks to pursue their passions, build vital professional connections, and learn at the cutting edge of marketing and advertising. 

We Create an Open environment built on trust and respect, where everyone feels they belong and has opportunities to progress. This inclusive culture is fostered through a variety of employee resource groups and frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our comprehensive benefits package reflects this commitment, including competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days. 

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We believe the best work happens when we're together, fostering creativity, collaboration, and connection in this open and supportive environment. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Please note this is a UK based role and requires individuals to have the right to work in this location

Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide.

While we appreciate all applications received, only those candidates selected for an interview will be contacted. 

#LI-Promoted

THE ROLE

As a Senior Data Analyst in NextEnergy Group’s Data & AI team you will lead geospatial analytics projects, mentor junior analysts and deliver high-impact insights across climate, nature and social themes. You will partner with the Environmental Social Governance (ESG) Team and wider business stakeholders; design and maintain robust spatial datasets; develop and manage web based GIS applications; and apply spatial analysis to support due diligence across UK and international investment portfolios. Through the establishment of standardised geospatial processes, auditable data workflows and high quality visualisations, you will strengthen the organisation’s evidence base for ESG reporting and decision making. By delivering actionable insights to stakeholders you will be supporting the company’s digital transformation and sustainability goals.

This role is central to our strategy to become a data-driven, technology-led and AI-infused enterprise.

KEY RESPONSIBILITIES

• Analytics & Insight Generation: Lead spatial and environmental analysis across ESG topics, integrating survey, CAD, consultant and public datasets to identify constraints, risks and opportunities, and translating complex geospatial data into clear, actionable insight for senior stakeholders.
• Reporting & Visualisation: Design, build and maintain dashboards, web applications and high‑quality cartographic outputs (ArcGIS Online, ESRI), ensuring spatial data is visualised clearly, accurately and in line with best‑practice data storytelling for both operational and strategic reporting.
• Mentorship & Best Practice: Champion geospatial data quality, governance and continuous improvement by managing spatial databases, standardising workflows, documenting processes and mentoring junior analysts, fostering a culture of technical excellence, knowledge sharing and continuous learning
• Data Collection & Management: Working with Data Engineering & Data Governance when relevant, own and actively manage spatial and ESG‑related datasets for analysis, ensuring data quality, integrity and compliance with GDPR and other regulation
• Process Automation: Identify opportunities to automate & transform analytics & reporting processes to improve efficiency & scalability
• Collaboration: Work closely with business stakeholders across the group to understand requirements, deliver solutions and support cross-functional projects
• Documentation & Knowledge Sharing: Consistently document geospatial methodologies, analytical workflows and outputs, producing clear guidance and process documentation to support transparency, reproducibility and effective knowledge sharing across the wider team.
• Data Quality & Governance: Support data governance initiatives by validating geospatial datasets, maintaining metadata, and ensuring compliance with internal standards and external regulatory and ESG reporting requirements.
• Continuous Improvement: Stay current with industry trends, analytics best practices & emerging technologies. Proactively suggest enhancements to processes & tools/

SKILLS & COMPETENCIES

To be successful in this role, you will demonstrate:

• Technical Excellence: Advanced proficiency in geospatial platforms (ESRI, QGIS,). Experience with SQL & Excel for data manipulation and with data visualisation tools (e.g. PowerBI). Familiarity with Python, FME and cloud data platforms (e.g. Snowflake)
• Storytelling: Confidence building a story around data insights as well as communicating this with business stakeholders in an understandable and engaging manner
• Analytical & Problem Solving: Ability to interpret complex data and generate actionable insights. Strong attention to detail and commitment to data quality
• Business Acumen: Understanding of the business processes in at least one of our data domains e.g. Asset Management, Investment Management, ESG & GIS
• Leadership & Collaboration: Proven ability to mentor junior analysts and lead cross-functional projects
• Time management & prioritization skills- things can get a little hectic, so the ability to effectively manage yourself and your workload is critical
• Excellent communication skills in English (additional European languages are a bonus) - you must be able to organize your thoughts in a way that others find clear and compelling. Translating & presenting complex technical concepts to non-technical stakeholders. You will be expected to together well-written, grammatically correct emails and other communications. When communicating verbally
• Flexibility- being an effective team player means being flexible in your approach and open to getting involved with new things, even if they are not spelt out in your job description.
• Intellectual Curiosity – we are looking for someone who is truly interested in our profession and has the intellectual curiosity to delve deep into topics and bring fresh ideas to the team.
• Delivery focus – it may sound obvious, but the ability to proactively churn through work at pace and deliver quality outputs matters
• Passion for our mission ‘to generate a more sustainable future by leading the transition to clean energy
• Our values: be a leader, build trust, be responsible, be innovative and ‘bring your alpha’.

EXPERIENCE & QUALIFICATIONS 

• Bachelor’s or Masters degree in Geography, Geographical Information Systems (GIS) or relevant environmental or technical field or alternative relevant educational achievements (e.g. apprenticeships, arts degrees + work experience)
• 4-6 years of experience in data analytics or a similar role
• Dashboard design (PowerBI & Thoughtspot), remote sensing and image processing skills in context of environmental applications and assessment desirable. 
• Experience in geospatial data management and data engineering.
• Experience with ESRI products, including ArcGIS Pro, AGOL Web Maps, Application, Dashboards, Story Boards.
• Familiarity with CAD based software (e.g. AutoCAD), Web-based GIS technologies, coding (Python, R) as well as other desktop GIS software (e.g. FME, QGIS). 
• Experience in renewables/environmental/social assessments and across development, construction and operation stages.
• The right to work in the UK or Italy

WHAT WE OFFER

• A busy role in a supportive team, with plenty of opportunities to learn
• International scope – we operate in over 8 countries
• Hybrid working 
• Competitive base salary and annual discretionary bonus.

HOW TO APPLY

If you are interested in this opportunity, please follow the link to apply or send your application to careers@nextenergygroup.com. If you have been shortlisted for the next stage, we will be in contact within 14 days. 

By selecting “Apply” or sending us your CV, you indicate you have read and acknowledged NextEnergy Group’s Candidate Privacy Notice.

DIVERSITY AND INCLUSION

Our approach to diversity and inclusion is a natural extension of our values. Our entrepreneurial culture inspires us to try new things, be open to different viewpoints and be bold. Our Group is committed to cultivating and preserving a culture of connectedness that values difference and gives space for individual expression. The collective sum of our individual differences, life experiences, knowledge, innovation, self-expression, and talent and hard work form the bedrock of who we are and who we aspire to be.

We are committed to equal employment and advancement opportunity irrespective of race, color, ancestry, social background, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability and gender identity.

ABOUT US

NextEnergy Group was founded in 2007 to become a leading market participant in the international solar sector.  Since its inception, it has been active in the development, construction, and ownership of solar assets across multiple jurisdictions.  NextEnergy Group operates via its three business units: NextEnergy Capital (Investment Management), WiseEnergy (Operating Asset Management), and Starlight (Asset Development). 

NextEnergy Capital manages the Group's investment activities and has invested in over 520 solar plants, exceeding 2GW in capacity across its institutional funds.

• NextEnergy Solar Fund (NESF): Listed on the London Stock Exchange, NESF manages 102 solar and energy storage assets in the UK and Italy, with a total installed capacity of 983MW and a gross asset value of £1,014m.
• NextPower II (NPII): A private fund of 105 solar plants (149MW) focused on Italy, successfully divested in January 2022, delivering net IRRs exceeding its 10-12% target.
• NextPower III ESG (NPIII ESG): A private fund targeting solar infrastructure in OECD countries (e.g., US, Spain, Italy), with $896m raised, exceeding its $750m target.
• NextPower UK ESG (NPUK ESG): A private fund dedicated to new-build solar plants in the UK, with ~£600m raised.
• NextPower V ESG (NPV ESG): A private OECD solar fund investing in solar and adjacent technologies like battery storage. To date, it has raised $745m, targeting $1.5bn ($2bn ceiling).

WiseEnergy® is NextEnergy Group’s operating asset manager.  WiseEnergy is a leading specialist operating asset manager in the solar sector.  Since its founding, WiseEnergy has provided solar asset management, monitoring, technical due diligence and under construction services to over 1,500 utility-scale solar power plants with an installed total capacity in excess of 3.4 GW.  WiseEnergy clients comprise leading banks and equity financiers in the energy and infrastructure sector.  

Starlight is NextEnergy Group’s development company that is active in the development phase of solar projects.  It has developed over 100 utility-scale projects internationally and continues to progress a large pipeline of c.10GW of both green and brownfield project developments across global geographies. 

NextSTEP is the venture capital fund of NextEnergy Group, dedicated to investing in innovative startups in the field of environmental sustainability. The fund primarily focuses on investments in Italy and the United Kingdom but also extends its reach to the rest of Europe and the United States, targeting startups in the pre-seed and seed stages. NextSTEP pays particular attention to emerging entities from incubators, startup accelerators, universities, and research centers, supporting projects that address global challenges in crucial areas such as Climate Change, Energy Transition, CO2 Capture and Sequestration, Circular Economy, Sustainable Cities, Sustainable Mobility, Sustainable Fashion, Waste Management, Water and much more. 

NextEnergy Foundation is a non-profit organisation founded in 2016 by the NextEnergy Group that operates internationally and whose mission is to proactively participate in the global effort to reduce carbon emissions by providing clean energy sources in regions where they are not yet available and thereby contributing to poverty reduction. As the main sponsor of this foundation, the NextEnergy Group donates at least 5% of its consolidated net profits each year. The NextEnergy Foundation has no overhead costs and therefore 100% of the funds raised go to donations for the various projects. Since 2016, in 8 years of operation the foundation has donated more than £1.2 million, supporting over 30 projects in 27 different countries around the world.

Data & Analytics Intern – Finance | Manchester 

Join Global Finance Services, our finance shared services team, in Manchester and help transform how data drives decision-making across a global organisation.This role sits within our finance function and will support teams across Order to Cash (OTC), Procure to Pay (PTP), and Record to Report (RTR) by delivering high-quality data analysis, reporting, and insights. You’ll play a key role in helping improve data visibility, accuracy, and decision-making across the department. 

This is a hands-on role where you’ll take ownership of meaningful projects, not just support tasks. You’ll gain exposure to large, complex datasets and play a key role in improving how finance operates at scale.It is an excellent opportunity for a student looking to apply data skills in a real-world finance environment within a fast-paced, global organisation. 

What you’ll be doing 

• Collate and clean datasets from internal and external sources 

• Build and maintain reports and dashboards 

• Conduct exploratory analysis to surface trends and insights 

• Support presentation of findings to internal stakeholders 

• Document data processes and methodologies 

What you’ll gain 

• Hands-on experience working with enterprise finance systems and real-world business data  

• The opportunity to build dashboards and analysis used by finance leaders  

• Exposure to end-to-end finance operations in a global organisation  

• Experience identifying and delivering process improvements with measurable impact  

• Mentorship from experienced professionals across finance and data analytics  

• A strong foundation for a future career in data, analytics, or finance 

What we’re looking for 

• Studying towards a degree in a numerate discipline (e.g. data science, statistics, economics, computer science) 

• Proficiency in Excel; working knowledge of Python, R or SQL an advantage 

• Ability to communicate findings clearly to a non-technical audience 

• Organised, detail-oriented and comfortable working with large datasets 

About iNIZIO 

At Inizio, we're a global team driven by a shared purpose: to reimagine health. Formed in 2022 through the coming together of Ashfield and Huntsworth, we unite decades of experience with cutting-edge capabilities to deliver impactful solutions across the commercialization journey - from discovery to post-launch. Our global network of over 10,000 experts operates across 50 countries, supporting clients with strategic insight, medical excellence, creative engagement, and real-world delivery. We work with the world's leading health and life sciences businesses to solve complex challenges and drive meaningful outcomes for our clients and patients. 

What sets Inizio apart is our people - and we believe everyone should have the opportunity to thrive. Here, you're encouraged to reimagine your possibilities: to grow, to be curious and to make real change happen. It's a place where your individuality is valued, your development is supported, and your ambition is celebrated. If you're ready to push boundaries and accelerate your career, Inizio is the best place to be. 

Our Pledge 

At Inizio, we value inclusivity, recognize the power of diversity and inspire the next generation of change-makers. We are an equal opportunities employer. We believe in creating a dynamic work environment that values diversity, equity and inclusion. We aim to recruit from a diverse slate of candidates and foster an environment that provides the right conditions for long-term success. We welcome all applications regardless of race, color, religion or belief, gender, gender identity, age, national origin, marital status, military veteran status, genetic information, sexual orientation and physical or mental disability. 

Artificial Intelligence 

Inizio may use AI technologies to support certain aspects of our recruitment process, but all hiring decisions at Inizio are made by our human recruiting team. We are committed to fair, inclusive, and human-led hiring practices. 

#LI-PW2 

#LI-HYBRID 

The role 

The Data Engineering team is responsible for building and maintaining robust data infrastructure that powers analytics, and business intelligence across Nebius. We design and implement scalable data pipelines, optimize data storage and processing, and enable data-driven decision making across the organization. The team works closely with product teams and business stakeholders to ensure alignment with company goals.We are looking for a Data Engineer to design, build, and maintain our data infrastructure and pipelines. You will work on processing large-scale datasets, optimizing data workflows, and enabling analytics capabilities that support our rapidly growing cloud platform.

Your responsibilities: 

• Design, develop, and maintain scalable data pipelines.
• Build and optimize data infrastructure.
• Implement data quality monitoring and validation frameworks.
• Optimize data storage, processing, and query performance for large-scale datasets.
• Design and implement data models for analytics and reporting use cases.
• Develop tools and automation to improve data engineering workflows and productivity.
• Ensure data governance, security, and compliance standards are met.
• Participate in on-call rotation to support production data systems.

Must-haves: 

• 3+ years of experience in data engineering or related roles.
• Experience building and maintaining data pipelines using orchestration tools (e.g., Airflow, Prefect, Dagster).
• Strong proficiency in SQL and solid programming skills in Python.
• Experience with distributed data processing frameworks (e.g., Apache Spark, or similar).
• Knowledge of data modeling principles and best practices.
• Understanding of data architectures and storage systems.

Nice-to-haves: 

• Experience with real-time data streaming platforms.
• Familiarity with Infrastructure as Code tools (Terraform, etc).
• Experience with containerization (Docker) and Kubernetes.
• Knowledge of data governance and privacy frameworks (GDPR, SOC2).
• Knowledge of data quality and observability tools (Great Expectations, etc.).

We conduct coding interviews as part of the process.

The role

We are looking for a Senior Data Analyst to become the first analytics hire in Capacity Management and build a data-driven foundation for how we plan and operate infrastructure.

Today, many critical decisions rely on expert judgment. Your mission is to change that - by introducing clear metrics, reliable observability, and forward-looking models that guide decisions across engineering, product, and business.

You will work directly with the Head of Capacity Management and operate with high autonomy across the entire capacity domain.

What you will do

Build observability into capacity

• Define and own key metrics for availability, utilization, and capacity health

• Build dashboards that reflect the real state of the system, not a simplified view

• Replace manual and fragmented reporting with reliable, scalable data products

Own forecasting and demand modeling

• Develop rolling forecasts across regions, clusters, and products

• Identify early signals of shortages and imbalances

• Turn uncertainty into quantified scenarios

Drive decision-making

• Support decisions on data center expansion, resource allocation, and product constraints

• Model trade-offs (e.g. resource ratios, allocation strategies, demand shifts)

• Bring clarity and structure to ambiguous, high-impact problems

Scope & impact

• Operate across ~a dozen regions, multiple clusters, and tens of thousands of GPUs

• Influence decisions on infrastructure scaling, product allocation models, and business priorities

• Become a key partner to engineering, product, and business teams

We expect you to have:

• Proven Experience: 5+ years of experience in data analytics, data science, or related fields, ideally in high-scale or infrastructure-driven environments

• Strong ownership: ability to independently drive problems from framing through analysis to actionable recommendations

• Technical proficiency: solid SQL and Python for data analysis, modeling, and working with large datasets

• Data product experience: hands-on experience building dashboards and data products (Grafana, DataLens, or similar BI tools)

• Operational mindset: ability to work effectively in evolving, imperfect data environments with incomplete information

• Decision-making under ambiguity: comfort operating in high-speed environments with shifting priorities and unclear inputs

It will be an added bonus if you have:

• Experience in infrastructure, cloud, or capacity-related domains

• Background in forecasting, time series analysis, or demand planning

• Understanding of statistical methods and practical judgment on when to apply them

• Experience in high-growth or startup environments

• Proficiency in Russian is a plus

The role

We’re looking for a Software Engineer with strong C++ expertise to join the team building and operating Nebius Data Platform — a distributed storage and a processing platform that acts as the company’s “source of truth” and the backbone of many internal (and some external) products.

Nebius Data Platform is a single multi-tenant ecosystem based on YTsaurus — instead of running separate HDFS/Kafka/HBase-style systems, we provide storage, compute, and analytics capabilities inside one platform.

Built on top of the open-source YTsaurus ecosystem, we run and extend our own Nebius distribution and develop significant in-house functionality (core and platform-level). We can design, implement, and roll out features end-to-end on our clusters without waiting for upstream approvals and contribute upstream when it makes sense.

At scale today, this includes~500 servers, ~20k CPU cores and ~10 PB of compressed data in our largest production cluster, supporting workloads ranging from business-critical pipelines and financial transactions to large-scale ML/LLM training datasets and compute.

What’s inside the platform

You’ll work on a system that includes (and ties together):

• Distributed Storage (Cypress): transactional semantics, tiered storage, erasure coding, replication, and strong reliability expectations.
• Compute & ETL: a cluster-wide job scheduler (tens of thousands of cores), MapReduce, YQL for SQL-like data processing, and SPYT (Spark over YTsaurus) for modern data engineering.
• Interactive analytics (CHYT): ClickHouse® instances spun up directly on compute nodes for fast SQL over data in-place.
• Dynamic Tables: low-latency NoSQL KV with distributed ACID transactions for OLTP-style workloads and feature stores.
• Orchestracto: workflow orchestration deeply integrated with the platform (Airflow-like, but platform-native).

What you’ll do

We’re looking for engineers who combine strong systems skills with product sense: understanding who uses the platform, why certain capabilities matter, and making pragmatic trade-offs to maximize impact. On our team, engineering work is expected to be connected to real users and outcomes — you’ll regularly align with internal stakeholders, clarify requirements, and help drive prioritization.

In this role, you will:

• Design and implement new functionality in YTsaurus core (C++) with production reliability in mind.
• Build and evolve platform-level capabilities: platform architecture and operating model—multi-cluster growth, shared primitives, and a consistent experience that scales with new teams and use cases.
• Improve end-to-end platform experience for internal (and external-facing) users: APIs, guardrails, debugging workflows, and automation.
• Own production quality: incident response / on-call rotation, root cause analysis, and turning learnings into durable fixes.

Example projects

• Roll out sharded YTsaurus masters (incl. Kubernetes operator support) and build automatic balancing of metadata across master cells (consensus groups) to remove control-plane bottlenecks and unlock 10–100x cluster growth.
• Make CHYT interactive SQL faster and more predictable at high load via performance work like data-skipping / min-max-style indexes and improved execution introspection.
• Turn Orchestracto into a platform product by defining the building blocks, developer experience, and governance for how teams create and share workflows.
• Scale and harden Parquet-on-S3 for native YTsaurus workloads by tackling replication/movement, consistent lifecycle semantics, and master-server metadata optimizations for performance and reliability.
• Design and ship complete, trustworthy audit trails for data changes (who/what/when) across heterogeneous storage and compute paths.

Tech stack

• Core: modern C++ (C++20, async + multithreaded primitives)
• Services & tooling: Go and Python (microservices, utilities, integration tests)

What we expect

• 5+ years of software engineering experience.
• Strong C++ skills (you’ll write core code).
• Working knowledge of Python and/or Go (you don’t have to be expert, but should be comfortable navigating them).
• Experience developing and/or operating high-load, distributed services.
• Production mindset: ability to use SSH, read logs/metrics/traces, and debug distributed systems behavior.
• Solid CS fundamentals: algorithms, data structures, concurrency basics.

Nice to have

• Experience with Big Data systems (YTsaurus/Hadoop/Spark/ClickHouse/Kafka-like ecosystems).
• Experience with multi-tenant platforms, schedulers, resource isolation, quotas, and reliability engineering.
• Strong performance engineering skills (profiling, lock contention, latency/throughput tradeoffs).

We conduct coding interviews as part of the process.

This position is eligible for candidates located in the United States and United Kingdom

Your Role:

• Lead a team of onsite and offshore QA Engineers to ensure delivery of high-quality, scalable software across web, API, and platform services.
• Drive a modern quality engineering approach focused on early validation, strong test coverage, and automation-first practices.
• Partner with Product, Engineering, and DevSecOps to ensure requirements are clearly defined, testable, and complete before development begins.
• Establish and enforce quality standards across the development lifecycle, ensuring consistency and reliability of delivered features.
• Ensure comprehensive test coverage across functional, regression, performance, and edge-case scenarios.
• Promote and expand test automation across UI, API, and system-level validation.
• Use data and metrics to assess product quality, identify risks, and support release readiness decisions.
• Identify gaps in requirements, testing, and processes early, and drive continuous improvement across the team.
• Ensure alignment between requirements, test coverage, and validation outcomes to support high confidence in releases.
• Collaborate across teams to improve development workflows, quality practices, and delivery efficiency, including the adoption of AI-assisted development and testing tools.
• Mentor and develop QA engineers, fostering a culture of ownership, accountability, and continuous learning in a rapidly evolving, AI-enabled engineering environment.
• Advocate for quality as a shared responsibility across the organization, not just within QA.
• Conduct all business in accordance with Intradiem policies and procedures.
• Perform all other duties as assigned.

Your Background:

• Bachelor’s degree in Computer Science, related field, or equivalent work experience.
• 3+ years of managing a QA team testing front-end, back-end, desktop applications.
• 5+ years of QA experience with a strong focus on test automation and quality engineering practices.
• Knowledgeable in modern SDLC methodologies with a focus on automation, continuous delivery, and emerging AI-assisted development practices.
• Experience leading teams across functional testing, performance testing, test automation, and quality workflows.
• Strong understanding of API testing (REST/SOAP), SQL queries, log analysis, and performance testing.
• Experience with QA and test automation tools, such as Qmetry, Jira, Confluence, JMeter, or similar.
• Experience with release processes in CI/CD environments.
• Excellent problem solving and analytical skills.
• Detail oriented with a strong ability to prioritize and deliver results.
• Must be able to adapt to changing requirements and priorities.
• Ability to work independently, self-motivated and a strong team player.
• Familiarity with AI-assisted development or testing tools is a plus.
• Experience working in highly automated, CI/CD-driven environments preferred.

We are seeking a forward-thinking, AI-first leader to shape and drive the evolution of Marketing Innovation across the organization. Sitting within the Marketing function, this role is responsible for defining how AI transforms marketing—from how we plan and create, to how we execute, personalize, and scale.

As Global Head of Marketing Innovation, you will lead the transition from traditional marketing operations and tooling toward AI-powered workflows, agent-driven automation, and intelligent decision systems. You will define what capabilities marketing needs to succeed in an AI-native environment and translate those into clear, prioritized roadmaps in close partnership with Product, Engineering, and Data teams.

This role goes beyond managing technology—it is about rethinking how marketing works. You will act as the primary bridge between Marketing and technical teams, ensuring AI solutions are aligned with business goals, scalable across markets, and embedded into day-to-day workflows. You will also lead a small but high-impact team, including an AI Enablement specialist responsible for driving adoption across the organization.

The role reports directly to the Senior Director of Growth Marketing & Innovation.

What you’ll be doing

AI Strategy & Marketing Transformation

• Define and lead the long-term vision for AI-powered marketing, including automation, personalization, and intelligent workflows.
• Identify high-impact opportunities where AI can replace manual work, improve decision-making, and unlock scale.
• Drive the transition from tool-based execution to AI-enabled operating models across marketing functions.

AI Product Thinking & Roadmap Ownership

• Translate marketing needs into AI-driven solutions, including agents, automation systems, and intelligent workflows.
• Own and prioritize the Marketing Innovation roadmap, balancing business impact, feasibility, and scalability.
• Act as the primary DRI within Marketing for AI-related initiatives, managing trade-offs and sequencing.

Agentic AI & Workflow Automation

• Lead the design and deployment of AI agents to automate workflows across creative production, performance marketing, CRM, and localization.
• Ensure solutions are embedded into real workflows—not standalone tools.
• Continuously identify and scale automation opportunities across the organization.

Cross-Functional Leadership

• Partner closely with Product, Engineering, Data Science, and Analytics teams to build and deploy AI solutions.
• Ensure alignment between marketing needs, technical capabilities, and long-term system architecture.
• Influence without direct authority, driving execution through strong cross-functional collaboration.

AI Adoption & Enablement

• Own the global adoption of AI solutions across Marketing.
• Lead and mentor an AI Enablement specialist focused on training, documentation, and day-to-day usage.
• Establish clear processes, playbooks, and best practices to ensure teams effectively leverage AI capabilities.
• Drive cultural change toward AI-first ways of working.

Governance, Quality & Compliance

• Ensure AI solutions meet standards for quality, consistency, and brand alignment.
• Partner with Legal, Privacy, and Engineering teams to ensure compliance with data governance and regulatory requirements.
• Define guardrails, escalation paths, and approval processes for AI-driven workflows.

Vendor & Ecosystem Strategy

• Evaluate and manage external AI tools, platforms, and partners.
• Ensure the ecosystem supports long-term flexibility and avoids unnecessary complexity.
• Maximize value from vendors through structured evaluation and performance management.

Our humble expectations

• 8+ years of experience in product, AI/automation, marketing innovation, or related roles in high-scale digital environments.
• Strong product mindset, with experience translating business needs into scalable technical or AI-driven solutions.
• Solid understanding of marketing platforms and ecosystems (e.g., marketing automation, CRM, mobile attribution, ad tech), with the ability to evaluate trade-offs without needing to be hands-on in system configuration or engineering
• Hands-on understanding of AI capabilities (e.g., LLMs, agents, automation tools) and how they apply to marketing workflows.
• Experience working cross-functionally with Product, Engineering, Data, and Analytics teams.
• Proven ability to operate in ambiguous environments and build structure where none exists.
• Strong stakeholder management and communication skills, with the ability to influence senior leaders.
• Experience building or leading small, high-impact teams.
• Passion for AI innovation and its application to real-world operational challenges.

Nice to have:

• Experience with marketing platforms (CRM, automation, ad tech)
• Familiarity with prompt design, workflow orchestration, or AI tooling ecosystems
• Understanding of Marketing Automation and AdTech systems (e.g., Iterable, Braze, Salesforce, Appsflyer, Adjust) 
• Basic data fluency (e.g., SQL or analytics tools)

What we offer

This is a rare opportunity to get under the hood of a massive growth engine and actually build the tools that make it run. You won’t just be managing existing software; you’ll be the strategic architect responsible for moving us away from manual, "copy-paste" work toward a smart, automated system powered by AI and real-time data.

You will have the mandate to bridge the gap between Marketing, Product, and Engineering, making sure our tech stack is a competitive advantage rather than a bottleneck. Whether it’s building a marketing engine to win back millions of users or launching ML-powered personalization that hits the right customer at the perfect moment, you will be the one making it technically possible.

If you want a high-ownership role where you can solve real structural problems and lead a team of technical experts in a fast-paced, global environment, this is it.

Next steps

Our hiring process prioritizes quality over speed to ensure we find the right long-term fit for this critical role. Candidates move through the process one step at a time, typically starting with an initial screen and a hiring manager interview, followed by a peer interview and a take-home case study presentation, concluding with a final value-fit conversation.

We are looking for a commercially astute and data-driven Commercial Finance Manager to join our UK and Ireland finance team. This isn’t just a "number crunching" role; you’ll be the key partner to our operational leaders.

The ideal candidate will be someone who can get to the root of how our operation runs to ensure every decision is backed by sound commercial logic. You’ll need to be comfortable challenging senior business leaders, and adept at turning results into the strategic insights necessary to turn operational complexity into a competitive advantage.

This role offers broad exposure across multiple business units and entities, where there is significant scope to help shape the future of how we help serve Dinnertime to our millions of customers worldwide!

Key Responsibilities:

• Stakeholder Partnership; Build strong relationships with the Ops Directors & senior managers across our fulfillment and logistics teams, understanding their function and becoming a trusted advisor.
• Insight Generation; Interpret complex data sources to produce meaningful business insights. You won't just report the ‘what’; you will explain the ‘why’ and the ‘what next?’
• Business Casing; Evaluate new cost saving initiatives, commercial partnerships and revenue opportunities with a targeted focus on driving ROI at all times.
• Forecasting/Budgeting; Work closely with both local and international stakeholders to generate reliable, data driven forecasts whilst proactively challenging assumptions and driving continuous improvement at every turn.
• Month End & Board Reporting; Lead the Month End accounting process for operations, ensuring a high level of accuracy in our management reporting and helping stakeholders understand their performance through data.
• Mentoring; Support in the coaching and development of our senior financial analyst, providing direction and leadership to them in their career development.
• Continuous Improvement; Being an advocate for challenging the status quo, relishing the challenge of optimising workflows and creative in your approach to maximising time spent on value-add topics.

What we’re looking for:

• A qualified accountant with 2-3 years of PQ experience
• Experience working within physical product-based businesses (e.g. manufacturing, operational environments, FMCG, or similar industries) would be advantageous
• Someone highly commercial with strong financial literacy and proven experience in a fast paced environment managing simultaneous deadlines.
• Experience of designing, developing or maintaining structured scenario planning models and effectively using them to deliver tangible business outcomes
• A continuous improvement mindset where you strive under the challenge of trying to continually improve the financial or operational performance & efficiency.
• An aptitude for managing large/complex datasets – a good working knowledge of Microsoft Office/Google workspace tools is required, whilst SQL exposure would be advantageous

You are:

• Curious and proactive self-starter who seeks to understand concepts deeply and continuously improve processes
• A fast learner with strong problem-solving skills and financial acumen, able to work independently with minimal direction
• An effective communicator and stakeholder manager, skilled at building strong relationships and influencing outcomes
• Detail-oriented, accuracy-focused, and comfortable thriving in fast-paced, evolving environments
• Comfortable working with ambiguity and at pace - the problem may not always be clearly defined but you are able to identify what will add value and then deliver solutions.

What you will get in return:

• 70% off HelloFresh or Green Chef boxes
• Company pension scheme
• Gym membership
• Bupa private medical insurance (including dental & family cover options)
• Mental health first aiders and an employee assistance programme
• Dog friendly office! (London site only)
• Nursery support scheme
• Cycle to work scheme
• Group Life Assurance

Location: The HelloFresh Farm, 60 Worship Street, EC2A 2EZ, London

To be considered for this role, you’ll need to have the independent right to work in the UK, as we're unfortunately unable to provide sponsorship at this time.

We are looking for a commercially savvy, data-driven Senior Finance Analyst to join our UK and Ireland finance team. You will be integral in evolving, transforming and streamlining our ways of working across the breadth of finance. You will leverage your technical expertise and interest in emerging technologies (e.g. SQL, AI) to dive deep into complex datasets, turning raw data into strategic insights and answering the key questions that drive our executive decision-making.

Key Responsibilities

• Weekly/Monthly Reporting; Take ownership of generating timely and reliable weekly performance reporting & insights for the UK Management Board with a focus on actionable insights, analysis & commentary.
• Finance Transformation: Collaborate & identify inefficiencies in current financial workflows and lead initiatives to streamline/automate manual processes, reducing time spent on routine reporting across the team and improving time cycles for month-end and reporting.
• Month End Support; Supporting the Month End accounting process, ensuring a high level of accuracy in our management reporting and helping stakeholders understand their performance through data.
• Insight Generation: Interpret complex data sources to produce meaningful business insights. You won't just report the what; you will explain the why and the what next.
• Stakeholder Partnership: Act as a bridge between Finance and Tech/Data teams, translating business requirements into technical specifications while getting exposure to and influencing data infrastructure & pipelines.
• Forecasting/Budgeting: Work closely with both local and international stakeholders to generate reliable, data driven forecasts while ideating on new, high impact data assets required for success.

You Have;

• 2+ years of experience working with large data sets, complex models and experience in an analytical field.
• Experience working within physical product-based businesses (e.g. manufacturing, operational environments, FMCG, or similar industries) would be strongly preferred, particularly where finance and operational data intersect.
• A track record of designing, developing and maintaining various financial and non-financial data sets/models using SQL (python would be advantageous) and sophisticated Excel/GoogleSheet/Google AppScripts tools. Exposure to software (or equivalent software) such as Databricks, Snowflake, N8N, Workday Adaptive Planning, Tableau etc would also be an advantage.
• Experience developing advanced analytics with an exceptional ability to interpret and present financial and non-financial data in a way that is digestible for non-technical stakeholders.
• A continuous improvement mindset where you strive under the challenge of trying to continually improve the financial or operational performance & efficiency through the use of data & analytics.
• An intrinsic determination to solve a problem once it is identified using a scientific or well thought through, logical approach.
• Strong financial literacy and an inherent interest in business performance driving performance.

You are;

• Curious and proactive self-starter who seeks to understand concepts deeply and continuously improve processes
• A fast learner with strong problem-solving skills and financial acumen, able to work independently with minimal direction
• An effective communicator and stakeholder manager, skilled at building strong relationships and influencing outcomes
• Detail-oriented, accuracy-focused, and comfortable thriving in fast-paced, evolving environments
  
  

What you will get in return:

● 70% off HelloFresh or Green Chef boxes
● Company pension scheme
● Gym membership
● Bupa private medical insurance (including dental & family cover options)
● Mental health first aiders and an employee assistance programme
● Dog friendly office! (London site only)
● Nursery support scheme
● Cycle to work scheme
● Group Life Assurance

Location: The HelloFresh Farm, 60 Worship Street, EC2A 2EZ, London

Hybrid Working Policy
We offer a hybrid working policy for eligible roles, allowing flexibility to work from home and in the office. For more details on eligibility and how this applies to the role you're applying for, please consult with your recruiter.

Next steps: Your application will be reviewed and if successful, a member of the Talent Acquisition Team will be in touch within 2 weeks.

To be considered for this role, you’ll need to have the independent right to work in the UK, as we're unfortunately unable to provide sponsorship at this time.

You are required to cooperate with HelloFresh in all health and safety matters. You are responsible for ensuring you take reasonable care of your own health, and safety as well as others who may be affected by the work activities you undertake. You must report incidents immediately and actively raise health and safety-related concerns to your Line Manager. As part of our commitment to maintaining a safe and secure environment, we will process Disclosure and Barring Service (DBS) checks to the successful individual. Failure to disclose relevant information at application or throughout the process could affect your employment with the company. 

If you are currently a HelloFresh employee, please make sure you have discussed your application with your Line Manager.

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakewatch product-line requires the following core technical competencies:

• 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
• Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
• Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakewatch product-line requires the following core technical competencies:

• 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
• Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
• Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakewatch product-line requires the following core technical competencies:

• 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
• Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
• Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakewatch product-line requires the following core technical competencies:

• 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
• Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
• Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

About the Opportunity

Contentful is seeking a German-speaking Strategic Alliance Manager to lead our enterprise-aligned partnerships across the DACH region. In this role, you will drive strategic collaboration with a portfolio of global and regional agency and systems integrator partners, as well as leading regional agencies that play a critical role in enterprise digital transformation.

You will work in close alignment with enterprise sales leadership to identify, develop, and win strategic opportunities within key accounts, ensuring partners are embedded into account strategies and joint go-to-market motions. The role is responsible for translating Contentful’s partner strategy into tangible outcomes: pipeline creation, enterprise deal influence, and scalable joint offerings.

This position requires a highly collaborative and entrepreneurial leader who can navigate complex enterprise environments, build trusted executive relationships with partners, and mobilise cross-functional teams across sales, marketing, product, and solution engineering.

As part of Contentful’s partnerships organization, you will help extend the reach of our platform through a high-impact ecosystem that drives customer success, innovation, and enterprise growth.

What to expect?

• A highly collaborative environment working closely with enterprise sales, solutions engineering, and partner leadership
• The opportunity to shape Contentful’s strategic partner ecosystem in one of our most important regions
• A role with clear impact on enterprise growth, pipeline generation, and customer success

Drive strategic partnerships in DACH

• Own and develop relationships with a portfolio of global systems integrators and leading regional agency partners aligned to enterprise opportunities in the DACH region.
• Serve as the primary liaison between partner organizations and Contentful’s enterprise sales teams, ensuring strong alignment on account strategy and customer outcomes.

Lead joint go-to-market strategy

• Develop and execute joint go-to-market plans with strategic partners focused on enterprise customers.
• Identify and activate new joint sales plays, industry solutions, and integrated offerings with partners.

Accelerate enterprise pipeline and revenue

• Drive partner-sourced and partner-influenced pipeline, contributing directly to SQL generation and ACV growth.
• Lead account mapping and joint account planning with enterprise sales teams and partners.
• Support partners in identifying new opportunities and positioning Contentful in large-scale transformation programmes.

Build ecosystem momentum

• Work cross-functionally with partner marketing, product, and field teams to enable partners and activate strategic initiatives.
• Champion partner engagement across the organization, ensuring Contentful teams leverage partners effectively in enterprise pursuits.

What do you need to be successful?

• 5+ years of experience in enterprise partner management, alliances, or ecosystem development within a SaaS, digital platform, or agency/SI environment
• Experience working with systems integrators, digital agencies, or consulting partners
• Fluency in German and English
• Strong understanding of enterprise digital platforms, ideally including martech, CMS, composable architecture, or commerce ecosystems
• Demonstrated experience building and executing joint GTM strategies with partners
• Track record of driving partner-sourced or partner-influenced enterprise pipeline
• Experience with enterprise account planning and account mapping in collaboration with sales teams
• Strong executive communication, presentation, and facilitation skills
• Ability to navigate complex organizations and build trusted relationships across sales, marketing, product, and engineering
• A strategic mindset with the ability to translate complex ecosystem opportunities into clear execution frameworks

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

Principal Engineer

Location: Waterloo, London, England, UK | Hybrid (1 day per week in office)

Who We Are 

At 8th Light, we bring life to the best ideas.

Founded in 2006 and headquartered in Chicago, we are a technology solutions provider that partners with organizations to solve meaningful challenges and drive sustainable growth. From early-stage startups to global enterprises, we work across industries to optimise our clients’ digital products through product strategy innovation, experiential design, AI solutions, and deep engineering expertise. 

Our commitment to quality means we deliver solutions we’re truly proud of, while our curiosity sparks innovation and breakthrough thinking. 8th Lights thrive in an environment that champions continuous education, fueling our growth through mentorship and hands-on work. We foster an open, collaborative culture grounded in honesty that builds trust, and believe true success is measured by the outcomes we create for our clients.

If this kind of work and our kind of people energizes you, you’ve found the right place. 

Who You Are

You’ve shown long-term repeated success on a variety of projects, typically over the course of 10+ years. You are a trusted expert and leader, often called upon to guide ambiguous initiatives and architect scalable solutions. You bring a blend of deep consulting acumen, technical expertise, and product thinking that drives measurable and impactful outcomes. In your previous experience, you have:

• Demonstrated long-term success on high-stakes consulting engagements across multiple language paradigms, stacks, ecosystems, technical environments, and client industries 
• Built high-quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients you’ve served 
• Led the development and delivery of production-grade software using a variety of languages and frameworks, including but not limited to: Python, Java, JavaScript, TypeScript, React, Ruby, Scala, R, SQL, and Go
• Evaluated and strategically applied AI-assistive development tools to accelerate delivery and improve quality
• A track record of understanding, assessing, and embracing new tooling and trends within the software industry
• Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) 
• Used context-appropriate automated testing to inform software design choices and catch bugs
• Successfully led modernization efforts to align legacy systems with short and long-term business needs
• Remedied architecture-level concerns such as scalability, security, reliability, and performance
• Facilitated alignment and collaboration across technical and non-technical stakeholders to move initiatives forward in the face of ambiguity and complexity while balancing technical considerations with product and user needs
• Provided mentorship and team support at scale, while sharing knowledge and improving team practices 
• Actively sought out and effectively given feedback
• Collaboratively led stakeholders to balance technical considerations with product and user needs

What You’ll Do At 8th Light

As a go-to technologist and strategist within 8th Light, you’ll work with a variety of clients, typically one to two in a year, while continuing to deepen your and our collective domain expertise over the course of your career with us. You’ll be responsible for:

• Rapidly building trust with clients, demonstrating technical expertise and understanding of their domain and objectives 
• Guiding technical direction, solving complex problems, and demonstrating best practices while remaining deeply engaged within the codebase
• Working pragmatically to balance technology choices while delivering high-quality work within deadlines
• Advising clients on architecture, scalability and platform evolution, connecting technical decisions to product and business outcomes
• Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring
• Driving innovation by proactively surfacing new technical approaches and product solutions
• Leading or initiating formal feedback conversations with teams and clients via retrospectives
• Clearly articulating and documenting outcomes and driving forward action items
• Contributing to the health of your team and 8th Light’s culture by modelling our Values
• Designing and managing high-level technical roadmaps for large engagements
• Building your network and maintaining relationships with clients and other industry leaders within your domain
• Coaching client engineering teams, transferring knowledge and leveling up practices
• Influencing client CTOs and executive decisions. Planning and execute technical work that involves stakeholders outside of project boundaries such as across a client's technical organization
• Participating in account planning; opportunity identification.
• Facilitating retrospectives, strategy sessions, and technical deep-dives to improve team and project outcomes
• Identifying, mitigating, and resolving blockers to team progress
• Contributing to 8th Light by serving as a mentor, leading or designing workshops internally or for clients, representing 8th Light in the tech community, or supporting our hiring processes
• Demonstrating leadership in scalable system design, modular architecture, and platform- or product-oriented development.
• Bringing depth in testing strategies, observability, fault tolerance, and secure engineering practices.
• Applying architectural patterns to evaluate tradeoffs and drive clear, documented design rationale.

Strongly Preferred Skills

We work across many areas, and encourage anyone with the experience listed above to apply. We would particularly like to encourage applicants with experience in the following areas:

• Delivering and advising on enterprise-grade AI systems, including RAG pipelines, vector search, and agentic frameworks (e.g., LangChain, LlamaIndex, Crew AI, AutoGen, n8n), ensuring scalable, production-ready solutions that empower developers and align with business outcomes.
• DevSecOps & DevOps
• MLOps
• Infrastructure as Code
• Data Engineering: including platforms like Databricks for data processing and analytics.

Building a truly diverse, equitable, and inclusive workplace is an ongoing journey, and we’re excited to keep learning and growing together. We have a proud tradition of hiring talented colleagues with real-world career experiences. 

How You’ll be Supported

At 8th Light, we believe our people are our greatest asset. Their growth, well-being, and success shape our future. 

• Our wellness package is designed with the Whole YOU in mind and includes:
• A robust L&D programme featuring unlimited access to thousands of books, courses, and expert-led training on the O'Reilly learning platform.
• Annual financial stipend and time allotment for learning & development
• Coworking support for our global team
• 12 weeks of new parent leave available for eligible employees

See our full list of Benefits. 

A Note on Compensation

At 8th Light, we are committed to a compensation philosophy that is transparent, fair, and helps us attract and retain top talent in alignment with our company’s strategic growth goals and clients’ needs.

We benchmark our salaries using Geographic Structures to establish competitive pay ranges within the regions where 8th Lights live. Our pay ranges for our Principal Engineer position within London is: £92-818-£116-122 GBP

Reach out to recruiting@8thlight.com for more relevant information pertaining to your local market.

8th Light Hubs and Geographies

8th Light's culture is rooted in strong connections that extend across our teams, regions, and beyond client work. We are a distributed team across the United States, Canada, and the United Kingdom, with hubs in Chicago, London, Los Angeles, New York, and Seattle. 

• London Co-working: Employees working from our London hub follow a hybrid model, which includes a minimum of one day per week in our Waterloo Office. This co-working day is designed to encourage collaboration and further strengthen our community.In most cases, our consulting engagements do not require travel.

We hope to see you apply! 

^#LI-Hybrid

The Principal Solutions Architect will own the end‑to‑end design of complex customer/prospect solutions built on top of our social media management platform, with a strong focus on integrations, workflows, and measurable business value. This person will act as the bridge between customer‑facing teams (mostly AMs and AEs) and Product & Tech: translating client use cases and operational constraints into robust technical architectures, and turning those architectures into clear, actionable briefs for our product managers and engineering teams. In line with Hootsuite's distributed workforce strategy, our flexible work arrangement allows for remote work. This role is open to applicants located in London, England, United Kingdom and Luxembourg, Luxembourg. In this role, you will report to the Solutions Director.

WHAT YOU’LL DO:

• Participate in strategic client / prospects meetings and discovery workshops with strategic/enterprise accounts to understand business objectives, current tools, and operational constraints.
• Challenge and refine client requirements, uncovering underlying needs and proposing pragmatic solutions grounded in our platform capabilities.
• Articulate complex technical concepts in simple, non‑technical language to senior business stakeholders (CMO, Head of Social, Customer Care, Digital, Data teams).
• Act as a trusted advisor on topics such as social data architecture, governance, workflow design, and integration strategy notably on RFP or RFI. 
• Lead the design of end‑to‑end solutions that leverage our core platform capabilities (publishing, engagement, listening, analytics, governance) and integrate with external systems (CRM, customer care platforms, marketing automation, data warehouses, BI tools, etc.).
• Translate complex integration requirements (APIs, webhooks, SSO, data sync, custom workflows) into user‑centric, value‑oriented solution designs.
• Produce clear architecture artefacts when needed: solution blueprints, sequence diagrams, data flow diagrams, and configuration guides.
• Evaluate feasibility, risks, and trade‑offs of different solution approaches, always balancing speed, robustness, and scalability.
• Translate client and operational needs into structured, actionable briefs for Product and Engineering:
  • Clear problem statements and business context.
  • Detailed functional and non‑functional requirements.
  • Edge cases, constraints, and acceptance criteria.
• Work closely with Product Managers to prioritise requirements, shape roadmaps, and assess build‑vs‑configure‑vs‑integrate options.
• Partner with Engineering to validate technical designs, refine implementation details, and ensure solutions we would be pushing to our clients/prospects are aligned with platform architecture and standards or alternatively set guardrails and manage expectations.
• Provide feedback loops from the field back into the product: recurring patterns, blockers, integration gaps, and opportunities for new capabilities.
• Guide project teams (PS, Customer Success, Partner teams) during implementation as the “design authority” for the solution.
• Review technical configurations and integration setups to ensure they adhere to the agreed architecture and best practices.
• Help define standards, patterns, and reusable assets (templates, reference architectures, integration playbooks) that make future projects faster and more consistent.

WHAT YOU’LL NEED: 

• Extensive years of experience in a relevant role: Solutions Architect, Solutions Engineer, Senior Solutions Consultant, Technical Consultant, or similar in a SaaS / digital platform environment.
• Strong experience with integration‑heavy solutions involving APIs, webhooks, SSO/identity, and data pipelines.
• Experience working with at least some of the following: CRM (Salesforce, Dynamics, HubSpot, etc.), contact centre / ticketing tools (Zendesk, ServiceNow, etc.), marketing automation, CDP/DMP, data warehouses/BI tools.
• Background in social media / digital marketing / customer care platforms is a strong plus, ideally with tools like Hootsuite, Sprinklr, Sprout, Khoros, Brandwatch, Talkwalker, etc.
• Proven track record acting as a bridge between business stakeholders and technical teams, ideally in a role reporting into a Solutions / Professional Services / Customer Success organization.
• Solid understanding of modern web and SaaS architectures: RESTful APIs, webhooks, OAuth/SSO, microservices, event‑driven workflows.
• Ability to read API documentation, reason about data models, and specify integration patterns (batch vs real‑time, push vs pull, error handling, monitoring).
• Comfort discussing technical topics with engineers (data structures, rate limits, performance considerations) even if you are not the one writing production code.
• Familiarity with data concepts: data mapping, normalization, basic SQL or BI concepts, and how social data flows into broader customer data ecosystems.
• Strong ability to translate technical possibilities and limitations into clear business impacts and trade‑offs.
• User and value‑oriented mindset: always able to answer “who is this for, what changes for them, and how do we measure success?”.
• Comfortable working in a fast‑moving environment with evolving requirements; able to iterate quickly while maintaining architectural rigor.
• Customer Focus: Demonstrated desire to proactively help internal/external customers meet their needs
• Open Communication: clearly conveys thoughts, both written and verbally, listening attentively and asking questions for clarification and understanding
• Collaboration and Teamwork: working with others to deliver results, meaningfully contributing to the team, being a dependable partner

WHO YOU ARE: 

• Solution seeker. You’re focused on tackling new challenges, solving problems, and moving the business forward—and you don’t wait to be asked.
• Lifelong learner. You have a growth mindset – you’re here to learn, experiment, seek, apply, and provide feedback, share what works with your team, and move on from what doesn’t.
• Resilient adapter. In the face of change and challenges, you bring a thoughtful, calm approach, and a focus on finding the new opportunity.
• Intentional collaborator. You build positive working relationships across the business, bringing people together to foster new opportunities and to facilitate the efficient flow of information.
• Critical challenger. You have the trust in your team to ask difficult questions in order to get to the best end result.
• Active communicator. You listen actively and communicate ideas and information clearly, inclusively, and proactively.
• Integrated thinker. You look beyond your role and responsibilities to understand how your team’s work drives broader organizational goals.
• Accountable owner. You take pride in the work you’re responsible for with a mindset of ultimate accountability and reliability for the outcomes.
• Bar-raiser. You step up to help your team grow and succeed, even when that means going beyond what might be expected.

In all we do, our six guiding principles light the way:

Step Up: Dare to go beyond the expected to achieve greatness. #StepUp

One Team: Make Hootsuite a place we soar together by respecting each other's individuality, building trust, and showing up for the team. #OneTeam #FreeToBeMe

Customer Obsessed: Focus relentlessly on helping our customers succeed. #CustomerObsessed

Go Fast, Be Agile: Widen our competitive advantage by committing to speed and simplicity over perfection and complexity. #GoFastBeAgile

Play to Win: Commit to building an incredible, profitable company for our customers, our employees, and our stakeholders. #PlayToWin #NoExcuses

Neighbours & Allies: Give back to our communities and be an ally. #SocialForGood #Allies

 Accommodations will be provided as requested by candidates taking part in all aspects of the selection process.

#LI-Remote #LI-IA

So, what’s the role all about? 

The Senior Automation Engineer develops tests and maintains the NiCE CXone software platform. Key responsibilities include all tiers of the NiCE CXone technology, including (but not limited to) Test design and test Strategy for NiCE CXone products and features test automation, code reviews, resolving defects encountered during the QA cycle, supporting the production environment, and assisting other developers in a team environment utilizing agile development processes. 

How will you make an impact? 

• Serves as the senior QA professional in the R&D group
• Committed to the quality of the released content
• Reviewing new designs, challenging them to detect potential quality concerns, and proposing ways to address them
• Take an active role in-process inspection and improvement
• Actively track the team’s tasks, analyze the testing needs and define QA activities and ownership
• Plan, define and execute tests as part of the team’s QA related activities
• Continuously analyze and challenge existing testing coverage (manual and automatic tests)
• Monitor the test and production environments
• Write and maintain E2E automated tests

Have you got what it takes?

• At least 4 - 7 years of experience in QA/Automation positions
• The wide perspective of complex product solutions (business, technical, architecture)
• Experience in test design and execution for complex systems (manual and automatic). Deep understanding of QA methodologies
• Comprehensive experience working in an Agile development process
• Hands-on experience in Playwright, Java/JS or other OO language. Experience with writing SQL queries
• Fluent in English
• Team player
• Experience with AWS
• Experience with SDLC of SaaS products
• Hands-on experience with automated testing tools both for UI and APIs testing

Enjoy NiCE-FLEX! 

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. 

Requisition ID: 9630
Reporting into: Director, Engineering.
Role Type: Individual Contributor.

#LI-Hybrid

This is a remote opportunity and we would be interested in applicants based in Spain, Sweden, Germany, the UK or Ireland at this time. 

The Opportunity

The Grafana Frontend group is responsible for the end to end user experience on Grafana the observability product and Grafana the platform used by many engineers to build plugins. Our squads are responsible for dashboards, data visualisation and manipulation, navigation across the ecosystem, sharing experience, content search,organisation and more.

DataPro

The DataPro squad develops tools that empower users to express their data. We serve as the bridge between data producers (Data Sources) and consumers (Data Visualizations), enhancing the capabilities of data sources in line with our "big tent" philosophy.

What we do:

Query experience & Data manipulation: We build and evolve the query experience as well as the engine and components behind the Grafana data transformations experience, which primarily includes Transformations and SQL Expressions.Community Engagement: we listen to the open-source community, we retrieve contributions, and turn feedback into real improvements.

• Operational Excellence: we own the performance, reliability, and maintainability of a system that runs at global scale. We value readability, maintainability and clarity of our code. 

How we work:

• No blame: We focus on learning and improving ourselves and our product.
• Better done than perfect: We iterate quickly and deliver value continuously.
• User-first: We design for real users solving real problems and we make data-driven decisions.

• Mentorship & Innovation: we grow together through knowledge sharing, mentorship, internal hackathons, and constant learning.

What You’ll Be Doing

As a Senior  Software Engineer at Grafana Labs, you will:

• Take an active role in influencing our roadmap and your own career objectives
• Drive projects from initial idea all the way to operations once it is in the hands of customers
• Be a part of your team’s on-call rotations and take ownership of the services you’re running
• Mentor and support other team members, participate in design discussions and collaborate with the team
• Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase
• Contributing to and reviewing design documents for upcoming features

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

What Makes a Great Fit

• Strong engineering skills: Solid experience building production software systems. You’re a self-starter, capable of tackling complex engineering problems with minimal supervision. You treat writing tests as a core part of the development process, not an afterthought. You have experience with TypeScript and React, Jest and Playwright.
• Complex operational thinking: Can take on complex challenges and break them down into tight feedback loops: analyze, design, ship an MVP, gather data, then iterate.
• Proven initiative and pragmatism: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and define scope, breaking complex challenges down to achieve short feedback loops. 
• Collaborative attitude: You communicate effectively with peers, product managers, and designers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.
• Enjoy learning, growing, and supporting others to do the same. 
• Appreciate efficiency and strive to identify and utilize the most effective tools for the task at hand. You naturally share your use of these tools with your team to maintain transparency and growth.

Bonus Points For

• Experience with open source software and/or commercial open source companies
• Been a user of Grafana and Prometheus in operational roles
• Familiarity with being on-call and performing operations/SRE tasks
• Have an active interest in observability (Metrics, Logs and Traces) and have experience with tools like Grafana, Prometheus, or other observability platforms.
• Have experience mentoring engineers in a collaborative but asynchronous environment, and see it as a meaningful
• Care about our community of users and contributors and are keen to be an active Grafana Community Contributor.

We understand that you may not have experience on all of the above. Please do apply even if you do not match some of the above criteria.

In United Kingdom, the compensation range for this role is GBP 91,755 - GBP 110,106. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

About The Team:
The Home Delivery Coordinator plays a pivotal role in ensuring the seamless execution of day to day home delivery operations via multiple Delivery Service Partners (DSPs). This role requires overseeing a number of variables, from ensuring route coverage to maintaining service quality aligned with our promise to customers. The Home Delivery Coordinator leverages multiple systems, including live tracking, EPOD (Electronic Proof of Delivery) monitoring, and data analysis tools, to identify trends, rectify errors, and improve overall performance. The role will foster strong relationships with DSPs, internal logistics teams, and key stakeholders across the business, keeping our customers at the heart of everything we do. The Home Delivery Coordinator will exemplify a hands on, problem solving mindset, a commitment to learning and an egoless, collaborative approach while relentlessly prioritising for long term success.

What You Will Be Doing:

• Oversee daily delivery operations, ensuring all routes are covered efficiently by DSPs.
• Monitor live delivery systems and address any operational challenges in real-time.
• Review EPOD images and performance data to ensure service quality aligns with customer expectations.
• Escalate unresolved or critical issues to appropriate DSPs or internal management.
• Identify, analyse, and implement solutions for recurring operational challenges.
• Use data tools (e.g., Excel, SQL) to analyse trends, identify errors, and uncover opportunities for improvement.
• Prepare and present regular performance reports, highlighting key insights and actionable recommendations.
• Maintain cost awareness in all operational decision-making and improvement initiatives.

Who You Are:

• Experience in home delivery operations or a similar logistics role.
• Demonstrated ability to manage day-to-day operations with multiple variables.
• Exceptional organisational and time management skills.
• Proficiency in data analysis tools (e.g., Excel, Google Sheets).
• Strong analytical and problem-solving skills.
• Strong ability to build partnerships with internal and external stakeholders.
• Excellent relationship management and communication abilities.
• Proven experience in team management.

What you will get in return:

• 70% off HelloFresh or Green Chef boxes
• Company pension scheme
• Gym membership
• Bupa private medical insurance (including dental & family cover options)
• Mental health first aiders and an employee assistance programme
• Dog friendly office! (London site only)
• Nursery support scheme
• Cycle to work scheme
• Group Life Assurance

Location: HelloFresh, 1, Holme Lane, Spondon, Derby DE21 7HW

Shifts: Any five days out of seven, day shifts, will include at least one weekend day

To be considered for this role, you’ll need to have the independent right to work in the UK, as we're unfortunately unable to provide sponsorship at this time.

Next steps: Your application will be reviewed and if successful, a member of the Talent Acquisition Team will be in touch within 2 weeks.

You are required to cooperate with HelloFresh in all health and safety matters. You are responsible for ensuring you take reasonable care of your own health, and safety as well as others who may be affected by the work activities you undertake. You must report incidents immediately and actively raise health and safety-related concerns to your Line Manager. As part of our commitment to maintaining a safe and secure environment, we will process Disclosure and Barring Service (DBS) checks to the successful individual. Failure to disclose relevant information at application or throughout the process could affect your employment with the company. 

If you are currently a HelloFresh employee, please make sure you have discussed your application with your Line Manager.

About The Team:

At HelloFresh, we are changing the way people eat forever. We are looking for a Senior Demand Planner to join our Central Planning Team, driving strategic forecasting and technical innovation across the UK and International markets while acting as the operational heartbeat of selected European markets. Seeking a data-savvy pro with strong SQL skills to unlock insights and drive smart decisions!

You will play a pivotal role in our Operations, moving from fragmented local forecasting to a unified, automated, and data-driven global model. You will also own the demand signal that drives every operational decision - from how much food we buy (Procurement) to how many staff we schedule (Production) and how many trucks we book (Logistics).

The Mission:

The Demand Planning team is transitioning from a legacy operating model into a Predictive Intelligence function. Our vision is to evolve from reactive demand estimation to active supply chain shaping, leveraging data to anticipate market shifts, mitigate risk, and optimize operational costs.

You will bridge the gap between legacy operations and predictive intelligence. This role has a critical dual objective:

1. Strategic Architecture & Innovation: Driving the innovation required to architect the standardized forecasting tools, demand simulation frameworks, and future-state processes that will unlock scalable growth across International markets.
2. Operational Execution & Continuity: Ensuring flawless operational continuity for Ireland forecasting, protecting service levels and optimizing costs during this transition.

Ultimately, you will ensure that while we build the next generation of automated planning pipelines, our daily supply chain execution remains agile, accurate, and highly efficient.

What You Will Be Doing:

Strategic Improvement

• Drive Standardization: Establish a unified, model-driven demand planning architecture. You will manage the planning process to strictly limit manual overrides, ensure real-time communication with key stakeholders and proactively take actions to correct the forecast.
• Automated Ecosystem Transition: Drive the shift toward an automated pipeline. Work alongside forecast engineers to design robust solutions that support an efficient, scalable process, ensuring local nuances are handled without breaking the unified code base.
• Scenario Modeling & Innovation: Work with Data Science to refine our Confidence Range Forecasts and Scenario Simulations. Build "What-If" scenarios (e.g., “What if we run an aggressive promo in Ireland next week?”) to stress-test operational capacity and mitigate supply chain risk.

Cross-Functional Stakeholder Management (S&OP)

• Lead the S&OP Rhythm: Facilitate the weekly planning cycle with local stakeholders such as Market leadership, Logistics, Production and Procurement. You will shift the focus from simple error reporting to comprehensive risk management and strategic alignment.
• Commercial & Marketing Alignment: Partner with Marketing to align on customer conversions and retention. You will ensure that growth campaigns are accurately reflected in the Expected Demand view before they hit the supply chain.
• Deep Dive Diagnostics: When deviations occur, you will move beyond surface-level metrics. Your role is to explain the key drivers of the variance to provide actionable insights that prevent recurrence.

Operational Forecasting & Plan Ownership

• Drive the Transition to an Automated Ecosystem: Drive the shift toward an automated, robust ecosystem (using tools like Python, Databricks, and Streamlit as examples). You will not just use these tools; you will work alongside forecast engineers to design robust solutions that support an efficient, scalable process, ensuring local nuances are handled without breaking the unified code base. 
• Own the Number: Generate and validate daily and weekly demand plans for Ireland. You are the guardian of the Decision-Time forecast, ensuring the plan is accurate at the exact moment Procurement and Production need to act, without relying on rigid timelines but rather on operational readiness.
• Manage Trends & Operational Agility: Monitor changes in trends and the need for quick operational adaptations. You will incorporate performance metrics, not only to track stability but to implement stakeholder discipline, ensuring that changes are communicated promptly and the organization adapts efficiently.

Who You Are:

You are a hybrid: part analyst and planner, part diplomat, and part strategic change agent. You know a demand plan is useless if it simply reports numbers without driving action. You ensure every plan reconciles conflicting cross-functional needs, championing structural transformation through deep insights and a proactive understanding of error and risk.

Must-Haves:

• Experience: 4+ years in Demand Planning, Supply Planning, or Data Analytics, preferably in e-commerce, food retail, or FMCG (short shelf-life/perishable experience is a massive plus).
• Tech Stack: You are ready to leave spreadsheets behind. Proficiency in SQL is required. Experience with Python (pandas, forecasting libraries) and Visualization tools (Tableau/Streamlit) is strongly preferred as we transition to our automated pipelines. 
• Analytical Rigor: You possess strong analytical skills and a problem-solving, forward-looking mindset. You understand how to evaluate performance holistically and are proficient in forecasting techniques.
• Young Market Mindset: You are comfortable with ambiguity. You know how to forecast in environments with limited historical data (like our newer markets) by using proxy data and trend smoothing.
• Project Management & Delivery: You can plan and sequence initiatives across markets, handling ambiguity and frequent reprioritisation. You have a track record of prioritising and landing a roadmap of improvements.
• Risk & Change Management: You proactively anticipate demand and supply risks. You are experienced in proposing mitigations (buffers, caps, swaps) and communicating complex trade-offs to senior stakeholders to protect service and cost.
• Project & Data Tools: Advanced Excel/Google Sheets skills are essential. You are comfortable using JIRA/Confluence (or similar) for managing backlogs and requirements.
• Quality & Monitoring: Experience with data validation/QA frameworks, alerting systems, and SLA tracking to ensure forecast reliability.

Soft Skills:

• Influence: You can hold your ground with Senior Stakeholders (Head of Operations, Procurement Directors) when challenging their numbers or explaining a forecast miss.
• Clarity: You can translate complex statistical concepts (e.g., "algorithm bias") into business impact (e.g., "we need to buy 10% more chicken").
• Stakeholder Leadership: You possess strong stakeholder management skills, influencing across Marketing, Procurement, Finance, and Tech. You ensure alignment across diverse functions.

What you will get in return:

● 70% off HelloFresh or Green Chef boxes
● Company pension scheme
● Gym membership
● Bupa private medical insurance (including dental & family cover options)
● Electric vehicle scheme
● Mental health first aiders and an employee assistance programme
● Dog friendly office! (London site only)
● Nursery support scheme
● Cycle to work scheme
● Group Life Assurance

Location: The HelloFresh Farm, 60 Worship Street, EC2A 2EZ, London or any other international HelloFresh market

To be considered for this role, you’ll need to have the independent right to work in the UK, as we're unfortunately unable to provide sponsorship at this time.

Hybrid Working Policy
We offer a hybrid working policy for eligible roles, allowing flexibility to work from home and in the office. For more details on eligibility and how this applies to the role you're applying for, please consult with our recruiter.

Next steps: Your application will be reviewed and if successful, a member of the Talent Acquisition Team will be in touch within 2 weeks.