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.

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

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

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.

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

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:

We’re looking for a Senior Demand Planning Analyst who is as comfortable writing SQL as they are explaining a forecast miss to a Procurement Director. This is a hybrid role: part data engineer, part forecaster, part cross-functional operator.

You’ll own the demand signal that drives every operational decision at HelloFresh, from how much food we buy to how many staff we schedule and how many trucks we book. Your forecasts directly determine food waste, labour costs, and customer experience for millions of meals across Europe.

Our Demand Planning team is transitioning from a legacy operating model to a unified, automated, data-driven global function. You will bridge that gap — building the next-generation forecasting capabilities while keeping daily supply chain execution accurate and agile.

What You’ll Do

Build & Automate Forecasting Systems

• Write and maintain SQL queries daily to extract, validate, and transform demand data across cloud data platforms (e.g., Databricks, BigQuery, Snowflake).
• Develop and refine forecasting models in Python, applying statistical and machine learning techniques — from simple trend and seasonality models through to more advanced approaches as the function matures.
• Design dashboards and automated reporting using visualisation tools (e.g., Tableau, Power BI) that give stakeholders self-service access to demand insights.
• Work alongside forecast engineers to architect scalable pipelines, ensuring local market nuances are handled without breaking the unified codebase.
• Build “What-If” scenario simulations (e.g., “What if we run an aggressive promo in a key European market next week?”) to stress-test operational capacity and quantify supply chain risk.

Own the Demand Plan

• Generate and validate daily and weekly demand plans for European markets. You are the guardian of the Decision-Time forecast — the plan must be accurate at the exact moment Procurement and Production need to act.
• Monitor trends, seasonality, and promotional impacts. Proactively flag when the plan needs adjusting and communicate changes before they surprise the supply chain.
• Implement data validation and QA checks to ensure forecast reliability, with alerting for anomalies.

Drive Cross-Functional Alignment (S&OP)

• Drive cross-functional alignment and play a key role in the weekly S&OP planning cycle with Market Leadership, Logistics, Production, and Procurement — ensuring the forecast is shaped by stakeholder inputs and shifting the conversation from error reporting to risk management and strategic alignment.
• Partner with Marketing to ensure growth campaigns and promotions are reflected in the demand view before they hit the supply chain.
• When deviations occur, go beyond surface metrics: diagnose root causes, quantify impact, and deliver actionable insights that prevent recurrence.

What We Need

Required Technical Skills

• SQL: Fluent. You write complex queries daily — joins, window functions, CTEs — and are comfortable working in cloud data platforms (e.g., Databricks, BigQuery, Snowflake).
• Python: Good working knowledge. You can write and maintain scripts for data manipulation, forecasting, and analysis. You don’t need to be a software engineer, but you’re confident using Python to solve analytical problems.
• Visualisation: Experience building dashboards in tools such as Tableau or Power BI to make data accessible to non-technical stakeholders.
• Excel/Google Sheets: Advanced. Still essential for ad-hoc analysis and stakeholder communication, but not your primary tool.

Required Domain Experience

• 4+ years in Demand Planning, Supply Planning, or Supply Chain Analytics. E-commerce, food retail, or FMCG experience is strongly preferred — perishable/short shelf-life experience is a significant plus.
• Strong grasp of forecasting techniques: you understand bias, accuracy metrics (MAPE, WMAPE), trend decomposition, and how to evaluate model performance holistically.
• Experience forecasting in environments with limited historical data (newer markets, product launches) using proxy data and trend smoothing.
• Proven ability to manage demand and supply risks: proposing mitigations (buffers, caps, swaps) and communicating complex trade-offs to senior stakeholders.
• Comfortable with project tools like JIRA/Confluence for managing backlogs and improvement roadmaps.
• Strong communication skills: you can present forecast insights, explain variance drivers, and articulate trade-offs clearly to both technical and non-technical audiences, ensuring alignment across 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. 

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. 

Are you eager to learn new technologies? Do you appreciate a free working environment where you get a high level of decision-making authority but also the support you needed? Can you turn business requirements into excellent technical solutions leveraging Adobe technologies? And would you like to work with some of the world’s most skilled marketing automation developers on one of the most advanced CRM/marketing platforms? Then you might be just the one we are looking for!

What will your day look like?

In the role as an Adobe Developer, you are responsible for understanding the technical structure of a project. Your job will be to identify client requirements by researching concept, strategy, and target for the project, followed by designing, developing, and implementing robust solutions leveraging Adobe marketing platforms.

Furthermore, your tasks include:

• Leading the implementation of new features, bug fixes, and complex configurations within Adobe environments.
• Collaborating with Architects and Technical Project Managers to translate client requirements into precise technical specifications, estimates, and deployment plans.
• Conducting in-depth technical investigations, troubleshooting issues, and proposing effective solutions, often involving advanced programming and integration.
• Mentoring and providing technical guidance to Associate and other Developers on complex tasks, coding best practices, and problem-solving techniques.
• Ensuring the successful integration, testing, and deployment of client applications and platforms, applying rigorous quality assurance methods.
• Staying abreast of industry trends and emerging technologies, especially within the Adobe ecosystem, to continually enhance our offerings and provide innovative solutions.
• Acting as a go-to resource for technical challenges, proactively engaging in discussions with clients and internal teams to find the best approach.

Who are you going to work with?

You will become part of an exciting and challenging professional environment, working closely with Architects, Application Consultants, Technical Project Managers, and other Developers (including Associate, Senior, Lead, and Principal levels) within the technical team. You will also collaborate with Data Specialists and Designers outside of your department. Our common feature is that we all are competent, respectful teammates who go the extra mile to help one another.

We value room for diversity, and you will get a chance to put a personal touch on your daily tasks while developing your professional skillset. We are proud of our multicultural environment and easy-going, dynamic atmosphere where we not only work together – we are great at having fun as well.

What do you bring to the table?

You are an outgoing and self-motivated person who contributes positively to the working environment with your team-player attitude. Your previous experience with being a trusted advisor for clients and colleagues means that you are not afraid to express your opinion, and your organized approach helps you meet deadlines and break down projects into manageable chunks.

In addition, you have:

• 4+ years of hands-on development experience, ideally within an agency or consulting environment, with a strong focus on digital marketing solutions.
• Proven expertise with Adobe Experience Cloud platforms, such as Adobe Journey Optimizer (AJO), Adobe Campaign Classic, Adobe Marketo Engage, Adobe Analytics, Adobe Experience Platform (AEP), Adobe Target (AT).
• Strong proficiency in front-end and back-end technologies including JavaScript, HTML, XML, CSS, and SQL, along with experience in other programming languages (e.g., Python, Java) and API integrations.
• Active Adobe certifications such as AJO Developer Expert, RTCDP Developer Expert, Adobe Campaign Classic Developer Expert, Adobe Campaign Standard Developer Expert
• Experience with code versioning systems, automated integration testing, security testing, and secure coding practices.
• Deep understanding of data models, optimization techniques, and GDPR principles.
• Excellent communication skills (in English), with the ability to articulate complex technical concepts to diverse audiences (technical and non-technical).
• A proactive and collaborative mindset, with a strong commitment to continuous learning, problem-solving, and a growth mindset.

A leader in personalized customer experiences

VML MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric. Together, we are 1000 + technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.

A global network

We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences.

Job Description: Technical Delivery Manager

Location: London, UK
Work Model: Full-time, onsite at customer location
Role Type: Customer-facing delivery leadership role

Role Summary

We are looking for a Technical Delivery Manager to lead complex technology delivery for a strategic enterprise customer in London. This role requires a strong combination of hands-on technical understanding, delivery ownership, client management, Agile execution, and cross-functional leadership.

The ideal candidate will manage end-to-end delivery across cloud, data, application modernization, AI-enabled engineering, and enterprise integration initiatives. The role is fully customer-facing and requires daily onsite collaboration with business, technology, product, architecture, and engineering stakeholders.

Key Responsibilities

Delivery Leadership

• Own end-to-end delivery across assigned programs, workstreams, releases, and sprint commitments.

• Drive planning, execution, risk management, dependency tracking, and stakeholder communication.

• Ensure delivery predictability across scope, schedule, quality, budget, and customer expectations.

• Manage delivery governance using Agile methodology, sprint ceremonies, release planning, retrospectives, and operational reporting.

• Maintain clear traceability of requirements, user stories, acceptance criteria, UAT sign-offs, defects, and production readiness.

Customer & Stakeholder Management

• Act as the primary onsite delivery interface for customer stakeholders.

• Build trusted relationships with business, product, technology, architecture, security, infrastructure, and operations teams.

• Translate business priorities into actionable delivery plans and technical execution roadmaps.

• Proactively communicate risks, blockers, trade-offs, and mitigation plans.

• Support executive-level reporting, steering committee updates, and escalation management.

• Identify growth opportunities and partner with internal team to build solution proposals

Technical Oversight

• Provide technical leadership across cloud, data, application, integration, and DevOps workstreams.

• Work closely with architects, engineers, QA, DevOps, and data teams to validate technical design and delivery feasibility.

• Ensure alignment with enterprise architecture, security, privacy, data residency, and operational standards.

• Review technical dependencies across applications, data pipelines, APIs, environments, and CI/CD processes.

• Drive production-readiness reviews, performance validation, monitoring, and support handover.

Engineering & Agile Execution

• Lead sprint planning, backlog grooming, daily standups, sprint reviews, and retrospectives.

• Manage delivery through tools such as JIRA and/or Azure DevOps.

• Ensure stories are well-defined, estimated, prioritized, and linked to business outcomes.

• Track velocity, capacity, defects, risks, dependencies, and release burn-down.

• Promote disciplined engineering practices, including code quality, peer review, automation, testing, and deployment controls.

Data, Cloud & DevOps Delivery

• Manage delivery across modern data platforms and cloud-native environments.

• Coordinate data engineering, transformation, ingestion, analytics, and reporting workstreams.

• Oversee CI/CD pipeline execution, environment readiness, deployment planning, and release validation.

• Support operational readiness through monitoring, observability, incident response, and continuous improvement.

Required Technical Experience

Strong working knowledge across modern enterprise technology delivery, including:

• Cloud & Platform: Microsoft Azure, AKS, Azure Container Apps, Azure Monitor, Azure SQL, Cosmos DB, Azure Data Lake, Fabric / OneLake.

• Data & Analytics: Databricks, Unity Catalog, Azure Data Factory, PySpark, Python, SQL, Power BI, data pipelines, transformations, reconciliation, and data quality.

• Application & Integration: .NET / .NET Core, Angular, REST APIs, microservices, authentication, authorization, and secure enterprise integration.

• DevOps & Delivery Tools: JIRA, Azure DevOps, GitHub, CI/CD pipelines, release management, environment management, automated testing, and deployment governance.

• AI-Enabled Engineering: Exposure to GitHub Copilot, Claude, Codex, Lovable, or similar AI tools supporting SDLC acceleration, code generation, testing, and productivity improvement.

Required Skills & Qualifications

• 10+ years of experience in technology delivery, software engineering, data platforms, or cloud transformation.

• 5+ years in a delivery management, technical program management, or technical project leadership role.

• Strong experience managing enterprise customers in an onsite, high-touch delivery model.

• Proven ability to lead distributed engineering teams across onsite, nearshore, and offshore locations.

• Strong understanding of Agile delivery, sprint execution, release governance, and production deployment practices.

• Ability to challenge teams constructively on estimates, technical approach, quality, and delivery risks.

• Excellent communication skills with the ability to engage both technical teams and senior customer stakeholders.

• Strong problem-solving mindset with ability to manage ambiguity, dependencies, and escalations.

• Experience in regulated, enterprise, audit, financial services, or professional services environments is preferred.

Preferred Experience

• Experience working with large global enterprise customers.

• Prior exposure to audit, risk, compliance, financial services, or professional services platforms.

• Experience managing cloud data platform programs using Azure, Databricks, Fabric, and Power BI.

• Experience with modernization programs involving .NET, Angular, APIs, microservices, and cloud-native deployment.

• Familiarity with operational support, production readiness, observability, performance testing, and incident management.

• Experience driving value-based delivery, productivity improvement, and AI-enabled engineering adoption.

Key Success Measures

• Predictable sprint and release delivery.

• Strong customer confidence and stakeholder satisfaction.

• Clear governance across scope, backlog, UAT, defects, and release readiness.

• Improved delivery quality, reduced rework, and stronger production stability.

• Effective coordination across business, product, engineering, QA, DevOps, and operations teams.

• Proactive risk management and transparent executive communication.

Ideal Candidate Profile

The ideal candidate is a hands-on technical delivery leader who can operate comfortably with senior customer stakeholders while also engaging deeply with engineering teams. They should be able to manage delivery pressure, bring structure to ambiguity, challenge teams constructively, and ensure that commitments are met with quality and transparency.

This is not a purely project management role. It requires someone who understands technology delivery in depth and can lead from the front in a complex, customer-facing enterprise environment.

Octus Fundamentals delivers comprehensive financial data for informed credit decisions, covering reported and standardised financials, KPIs, tear sheets, and complex capital structures for more than 3,000 corporates globally across both publicly listed and privately held companies. Our dataset encompasses corporates across the sub-investment-grade liquid credit and private credit universe. 

We are looking for a Data & Analytics Analyst to join our Fundamentals EMEA team. The successful candidate will play a central role in building and maintaining market-wide datasets that enable our subscribers – professionals across hedge funds, investment banks, and management consulting firms – to benchmark issuers across sectors, regions, instrument types, and company sizes. The role sits at the intersection of financial analysis, data engineering, and product development.

This is a hands-on, high-impact position offering direct exposure to how leading credit market participants use data in their workflows, with meaningful opportunities to shape how our products evolve.

Responsibilities:

Fundamentals Data Analytics

• Own and regularly update the Market Data file, maintaining accuracy and completeness of aggregated metrics across Octus's non-investment-grade liquid credit coverage universe
• Launch a similar Market Data file for the private credit universe 
• Respond to ad-hoc client data requests, running custom analyses and extracts to meet specific benchmarking or screening needs. This entails producing anonymised benchmarking analyses across sectors, regions, instrument types (bonds, loans) and company sizes. 

Data Quality & Mapping 

• Develop and enhance the financial data quality control framework, with the goal of minimising data errors and providing feedback and training to financial analysts on best practices.
• Collaborate with the Fundamentals financials and capital structure analyst teams to resolve data discrepancies and maintain dataset integrity
• Support internal and external mapping exercises, ensuring consistency between company identifiers, instrument references, and data sources across systems

Automation & AI

• Identify, design, and implement automation solutions to streamline repetitive data operations and reporting workflows across the Fundamentals department
• Leverage AI tools and large language models to enhance data extraction, classification, and analysis pipelines
• Build and maintain dashboards and query templates to support the broader analyst team with scalable, self-serve data access

Cross-functional Support & Product Development

• Assist the Fundamentals analyst teams with ad-hoc internal data requests, query setup, and analytical tasks
• Develop a deep understanding of how Octus clients use the platform and contribute ideas for improving data products and user experience

Requirements:

• 2+ years of experience in a data analytics, financial data, or credit research role
• Bachelor's or Master's degree in Business, Finance, Accounting, Data Science, Engineering, or a related discipline
• Knowledge of financial reporting and accounting standards, and the ability to interpret financial statements and assess financial performance
• Familiarity with credit instruments and credit market dynamics; understanding of investment banking and credit analysis workflows is a strong advantage
• Advanced Excel skills including complex formulas, pivot tables, macros, Power Query, and large-dataset manipulation
• Proficiency in Python and/or SQL for data manipulation, automation scripting, and workflow optimisation
• Experience with Microsoft automation and visualisation tools: Power Automate, Power BI, or equivalent platforms
• Working knowledge of AI tools and large language models (e.g. ChatGPT, Gemini, Claude) for data extraction, document analysis, or process automation; experience building AI-assisted workflows is a plus

So, what's the role all about?

Here at NICE Public Safety, we provide state of the art solutions for the Public Safety & Justice market, providing software as a service for multi-media evidence management and Emergency Contact Centres to a worldwide customer base.

We are currently expanding our Cloud Platform Engineering team to ensure we continue to offer exemplary service to our customers. This is a very hands-on role. You will be involved in ensuring our cloud platforms are observable, measurable, reliable, scalable, and maintainable. It’s likely that the successful candidate will have significant experience in a DevOps, SRE, Cloud Engineer, or Cloud Development role.

How will you make an impact? 

• Act as part of a team of SRE’s that act as the ‘gatekeepers’ of production and actively manage the work backlog and develop reliability improvements.
• Lead investigations into root cause outages, performance, and cost issues.
• Lead initiatives to develop the automation of low-value tasks balanced against project delivery demands.
• You will provide technical leadership and to wider Cloud Operations and Support teams along with providing oversight to the products and services they support.
• Collaborate with DevOps and engineering teams to establish and enforce SLOs, SLAs, and error budgets
• Develop and configure monitoring dashboards and alerts in tools like Grafana and Azure Monitor.
• Installation and configuration of Observability Platform including tools like Grafana, Prometheus, Azure Monitor, Open telemetry etc.
• Developing bicep modules for monitoring infrastructure and deploy it.
• Optimize system performance, cost, and security through regular reviews and tuning.

Do you have what it takes?

• Must have 6+ years of experience in Site Reliability Engineering
• Excellent technical, analytical and troubleshooting skills
• Experience and in-depth knowledge of databases and data handling (MS-SQL, Elasticsearch, YML, JSON, XML)
• Experience with Azure cloud
• Significant experience in programming or advanced scripting (Python, PowerShell, C# etc.)
• Experience with infrastructure/configuration as code and version control (ARM, BICEP, Git)
• Strong Experience managing monitoring, alerting and dashboarding platforms (Azure Monitor, Prometheus, Grafana, Elasticsearch)
• Demonstrable experience of supporting live cloud services and platforms
• Expert in developing queries for dashboards and alerting for microservices.
• Expertise in developing custom metrics for microservices
• Collaborate with DevOps and engineering teams to establish and enforce SLOs, SLAs, and error budgets.
• Production experience with Kubernetes and containerization (AKS)
• Exposure to Azure DevOps pipelines is desirable (CI/CD)
• Strong experience in infrastructure as a code, design and implementation strategies.
• Experience with AI (tools) to automate and accelerate is a plus.
• Efficient, effective, and respectful communication skills both with customers and within internal departments. Including,
  • Good listener, able to identify and validate assumptions.
  • Able to use effective questioning to confirm understanding of a customer problem and then provide help to solve it.
  • Methodical troubleshooting, technical skill and attention to detail used in diagnosing problems and reproducing issues in a local environment.
  • Multi-tasking and time-management to prioritise and switch between varied tasks.

• Significant experience in platform engineering, observability, and provisioning.
• Proven ability to develop and implement a strategic vision for platform services, observability, and provisioning.
• Strong understanding of cyber security principles, governance, and compliance frameworks.
• Strong understanding and experience of cloud platforms, containerisation, and microservices architecture.
• Broad background across information technology with the ability to communicate clearly with non-security technical SMEs at a comfortable level.
• Strong proficiency in technical scoping, architecture design, and integration of security tools and processes.
• Ability to translate business needs into scalable, user-centric cloud solutions.
• Excellent communication and collaboration skills, with a focus thought leadership and solution development.
• Experience in both operational and transformation roles or a clear working understanding of both perspectives.
• Knowledge of compliance with relevant frameworks, including ISO 27001, Cyber Essentials + or FEDRAMP

Tooling

• Kubernetes (Ideally AKS)
• Azure Devops Pipelines
• Elasticsearch and Cloud Observability Stacks
• IAC (Bicep/Terraform)
• Powershell / C#

Beneficial Certifications

• AZ 104
• AZ 305
• AZ 500
• AZ 700
• CKA

Requisition ID: 10820
Reporting into: Director, Engineering, 
Role Type: Individual Contributor

#LI-Hybrid 

The Law Enforcement Operations team receives, validates, and fulfills criminal legal processes from law enforcement worldwide, primarily via the Kodex portal. The team works closely with Critical Harms, Safety, Legal, Public Policy, Comms, Security, and Finance/DevRel on high-risk cases, NCMEC referrals, and safety escalations.

Role is based remote in the United Kingdom

You will:

• Serve as a senior case owner for complex, time-sensitive U.K. and international legal requests (subpoenas, search warrants, preservation, exigent/emergency requests).  
• Act as queue lead during assigned shifts: monitor volumes, triage, prioritize, and ensure SLAs, quality standards, and escalation paths are met.  
• Lead end-to-end request processing, including validation of legal process, data gathering (CS Tool, Safety Toolbox, JIRA), packaging, and secure delivery via Kodex.  
• Handle high-risk matters (imminent harm, child exploitation, self-harm, media/high-profile incidents) in close coordination with Critical Harms, Legal, and Comms.  
• Lead BPO agents and junior FTEs on tooling, policy application, and operational judgment; provide structured feedback into QA.  
• Own process and tooling improvements for a subset of LE request flows (e.g., automation, templates, documentation); partner with Privacy Eng, T&S Eng, and Kodex on rollout.  
• Contribute to metrics and reporting (volumes, turnaround time, error/rework rates) and propose data-backed remediations.  
• Represent LE Ops in cross-functional working groups (e.g., new tooling, preservation, policy changes) as an operational subject-matter expert.

You have:

• 5+ years in law enforcement response, trust & safety, legal operations, or adjacent investigative/records roles, including regular handling of legal processes. 
• Strong working knowledge of ECPA, content vs. non-content standards, U.K. and international LE request types, and emergency disclosure practices.  
• Demonstrated ability to run points on complex, high-stakes cases with limited supervision and strict deadlines. 
• Proficiency with case-management and data tooling (e.g., Zendesk or similar ticketing, internal data tools, SQL-adjacent workflows) and comfort learning new internal tools quickly.  
• Excellent written judgment and documentation skills; able to translate legal requirements into clear, auditable operational steps. 
• Experience mentoring or leading others informally (e.g., acting lead, trainer, or SME for a queue or workflow).

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

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 

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.

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 

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. 

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. 

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.

Hudson River Trading (HRT) is seeking a Corporate Action Analyst to join our PostTrade Strategic Initiatives team. The PostTrade team at HRT designs and operates the systems and processes that reconcile the firm’s trading with our various brokers and counterparties around the world. Due to the high volume of trades and complexity of our global trading system, we rely heavily on automation to reduce operational risk, ensure data integrity, and maintain regulatory compliance.  

In this role, you will work as part of a tight-knit, highly productive Strategic Initiatives team to develop operational efficiencies, collaborating with multiple teams across HRT’s global business. Corporate actions are a growing priority for this team – the ideal candidate has strong knowledge of corporate actions and asset servicing across markets, is passionate about utilizing technology and automation tools to work on a wide scope of operational projects, and is meticulously detail-oriented.

Responsibilities

• Analyze corporate action events from external data sources and verify information accuracy
• Maintain data accuracy within the firm’s reference data catalogue 
• Support the full lifecycle of mandatory events, voluntary events, and dividends from announcement to settlement 
• Monitor all upcoming corporate actions to verify proper processing throughout HRT’s infrastructure
• Investigate stock and cash reconciliation discrepancies daily and ensure all issues are properly resolved  
• Effectively manage and communicate risk around events and liaise with our Algo, Compliance, and Operations teams to optimize accordingly
• Interface with clearing houses, prime brokers, and counterparties on voluntary and election-based actions
• Identify and review corporate action event taxability, ensuring key stakeholders are appropriately updated
• Collaborate with teams across the firm to identify opportunities for new and improved workflows around the processing, settlement, and reconciliation of corporate action events
• Perform root cause analysis on problematic corporate action processing to increase automation

Qualifications 

• Minimum of 3-5 years of experience in a Corporate Action operations role, including an understanding of brokerage operations and the maintenance of reference data
• Strong knowledge of asset servicing across global markets, mandatory and voluntary corporate actions, and dividends. Knowledge of dividend tax withholding and processing of proxy votes are a plus
• Deep understanding of corporate action events, procedures, specific risk, and market practice
• Thorough understanding of security attributes across all asset classes as it relates to a security master
• Experience in stock borrow lending and settlement impacts on corporate actions
• Experience with the post-trade life cycle of equities, fixed income, and options
• Experience with external relationship management, including technology vendors, prime brokers, counterparties, etc.
• Experience with SQL and relational databases
• Experience with Bloomberg or Markit is a plus
• Knowledge of UNIX operating systems is a plus (we use Linux)
• Excellent cross-functional communication and collaboration skills
• Ability to work independently in a fast-paced, high-pressure environment
• Willingness to take ownership of challenging work and admit to and learn from mistakes  
• Ability to debug, analyze, and troubleshoot problems under fast turnaround times
• Highly analytical nature, with meticulous attention to detail
• Ability to maintain accuracy and speed while processing large amounts of information

Overview

The Technical Operations team at TripleLift is the center of excellence and central owner of publisher-side integrations. TripleLift partners with Publishers to monetize their unsold advertising space on their websites and apps. The Technical Operations Manager will be primarily responsible for onboarding TripleLift’s publishers, providing support to our Publisher Client Services and Publisher Development teams, owning the troubleshooting process to identify and resolve integration issues and collaborating with our Yield team to analyze integrations and develop strategies to enhance publisher performance. 

Your daily activities will include; liaising with our clients to initiate integrations and resolve technical issues, onboarding publisher’s inventory, decisioning on the most impactful publisher setup and providing consultative solutions, submitting design requests for the generation of native placements, running reports and analyzing the data to ensure integrations have launched successfully, enabling demand for TripleLift’s native, display and video advertising formats and providing support to Publisher Client Services via an internal ticketing system. 

Responsibilities

• Consult and direct clients on integration best practices
• Own the integration process across new and existing publishers to ensure consistent success and adoption of best practices.
• Onboard publisher inventory and activate them for TripleLift’s various advertising formats using  TripleLift's internal tools.
• Diagnose and resolve complex integration issues and escalate to second-line support if required
• Manage and ensure success of publisher integration - monitor performance, launch new accounts, make optimization suggestions, set up reports, etc.
• Launch experiments in conjunction with our Yield Team and publisher clientele to advance monetization strategies and techniques.
• Manage your workload within the CRM system Salesforce utilizing Salesforce Cases.
• Using knowledge of HTML and CSS, resolve publisher placement render issues;
• Support the Publisher Development team by consulting publishers on integration suggestions during the pre-sales process

Education & Requirements

• At least 2 years experience of Ad Trafficking experience with  knowledge of Google Ad Manager and Google Publisher Tag technologies;
• Strong troubleshooting skills, familiarity with Prebid.js
• Experience working for or with a digital publisher or an SSP;
• Strong customer service and interpersonal skills;
• Extremely strong and demonstrable work ethic;
• Ability to work individually and collaboratively to drive business forward;
• Excellent administrative skills and attention to detail;
• Ability to work quickly and independently with minimal oversight;
• Ability to work under pressure and multitask in a fast-paced start-up environment;
• Ability to accept feedback and constructive critique positively;
• Strives for continued learning opportunities;

Additional & Desirable skills:

• Experience of managing cases within Salesforce
• Experience with HTML, CSS, JS, SQL, testing and debugging (Postman), browser Dev Tools
• Experience of managing and resolving discrepancies 

About the Role

At Wheely, Operations is the core engine of our business. We operate a high-frequency, luxury marketplace where precision is the baseline. As an Associate Operations Manager, you will be responsible for the health of our marketplace. You will work alongside senior leadership to solve complex supply-demand challenges, optimise pricing mechanics, and ensure systemic efficiency across your market.

Responsibilities

• Operational Analytics: Utilise advanced data analytics to perform deep-dive root-cause analysis on marketplace inefficiencies. You are expected to translate complex data into clear, actionable insights and strategic recommendations that directly influence business performance.
• Marketplace Optimisation: Leverage predictive forecasting to anticipate market needs and deploy tactical levers including dynamic pricing, structured chauffeur incentives, and configuration adjustments.
• Strategic Execution & Impact: Own the full execution lifecycle: from deploying localised configurations to monitoring post-launch performance. You will move beyond delivery to validate that every initiative achieves its intended business impact, iterating on tactics in real-time to ensure measurable improvements.
• Product and Operations Link: Act as the strategic link between Product and Local Operations to solve marketplace inefficiencies. You will translate local operational friction into technical requirements to further improve marketplace health and platform functionality.

Requirements

• Academic Excellence: A degree in a highly quantitative field (Economics, Mathematics, Physics, or Engineering) from a top-tier university. You must have a strong foundation in first-principles thinking
• Analytical Curiosity: Exceptional logical skills with the ability to draw conclusions from data. While not a day-one requirement, you must have a strong desire to master data analysis tools (i.e. SQL, Python etc)
• Problem Solving: A natural ability to break down ambiguous problems into structured solutions.
• Intensity & Ownership: Evidence of a high-performance mindset. We look for "finishers", this could be demonstrated through intense academic research, competitive sports, demanding internships, or complex personal projects.
• Communication: The ability to present complex ideas with clarity and structure.
• Ability to work from the Wheely Academy (Hammersmith, London) 5 days a week.

What we Offer

• Office-based role in West London
• Competitive salary
• Employee stock options plan
• Private medical and dental insurance
• Life and critical illness cover
• Best-in-class equipment
• Monthly credit towards Wheely journeys
• Cycle to Work scheme
• Professional development stipend

We’re hiring a Senior Data Analytics Manager, Applied Marketing Measurements to lead the function that powers measurement, experimentation, and targeting across all of Bolt Marketing, from Performance and Brand to Lifecycle CRM. This role is your opportunity to shape how we drive measurable impact across 300+ markets and 100M+ users.

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

You’ll lead a team of senior analytics experts responsible for developing the frameworks and tooling that enable Bolt’s marketing analytics and operational teams to make the best decisions every day, rom at-scale customer targeting to multi-million euro investments in advertising and branded campaigns. This is a global, cross-functional leadership role with high visibility and ownership. You’ll collaborate closely with leaders across Marketing, Product, and Data.

• Lead a team of 3–5 Senior/Lead Data Analysts covering Performance, Brand, and CRM Marketing domains.

• Own strategy and implementation of frameworks for causal inference, segmentation, uplift modeling, experimentation, and other similar areas.

• Drive the measurement roadmap with internal and external stakeholders (Directors to SVPs of Bolt departments).

• Build internal tools and models that enable scalable personalization and accurate marketing measurement.

• Partner with internal teams and external vendors (e.g. Google, Meta, Braze) to shape tooling and playbooks.

• Ensure methodological excellence and operational efficiency across hundreds of campaigns and millions of communications.

• 5+ years of experience in analytics, data science, or experimentation, ideally in a large tech environment.
• MSc in Mathematics, Economics, Statistics, or other quantitative fields.
• Strong hands-on skills in SQL and either Python or R; deep understanding of statistical inference methods.
• Proven leadership experience managing technically strong analysts or data scientists.
• Excellent verbal and written communication skills, English fluency.
• Bonus if you have a PhD in quantitative field, research experience, or prior work experience with marketing or customer analytics.

Experience is great, but we also look for drive, intelligence, and integrity. So, even if you don’t tick every box, please consider applying if you feel you’re the kind of person described above!

• Play a direct role in shaping the future of mobility.
• Impact millions of customers and partners in 600+ cities across 50+ countries.
• Work in fast-moving autonomous teams with some of the smartest people in the world.
• Accelerate your professional growth with unique career opportunities.
• Get a rewarding salary and stock option package that lets you focus on doing your best work.
• Enjoy the flexibility of working in a hybrid mode with a minimum of 2 days in the office each week to foster strong connections and teamwork.
• Take care of your physical and mental health with our wellness perks.

*Some perks may differ depending on your location and role.

As a Senior Software Engineer at Tipalti, you’ll join a fast-growing fintech on a mission to automate and optimize financial workflows for SMBs. Our engineering culture is collaborative, product-driven, and focused on delivering real impact for customers.

This role blends hands-on development with a strong product mindset. You’ll play a key role in building and scaling integration capabilities—particularly around ERP systems (with a preference for NetSuite)—while contributing across the full software development lifecycle.

You’ll work closely with Product, Design, and external partners to define requirements, shape solutions, and deliver high-quality, scalable systems.

Responsibilities

• Design, build, and maintain robust, scalable, and well-tested software across the stack
• Lead development of ERP integrations, particularly with NetSuite and similar platforms
• Develop and maintain APIs, services, and event-driven systems
• Participate in architecture and design discussions, helping shape technical direction
• Collaborate closely with Product Managers to refine requirements and propose solutions
• Identify edge cases, raise technical considerations, and improve system reliability
• Conduct code reviews and uphold high standards for code quality and maintainability
• Contribute to system design for performance, scalability, and security
• Work with external partners and vendors on integration initiatives (ERP, payment systems, etc.)
• Mentor engineers and share knowledge across the team

Requirements

• Strong experience building backend systems using C# and Node.JS
• Experience integrating with ERP systems, especially NetSuite
• Experience working with SQL (MSSQL) and NoSQL databases (MongoDB, Redis)
• Experience building and consuming APIs (REST and/or SOAP)
• Familiarity with event-driven architectures and messaging systems (e.g. RabbitMQ, Bull/Redis)
• Experience working with cloud platforms (AWS preferred)
• Strong understanding of software design principles and clean coding practices
• Comfortable working across the full stack when needed
• Excellent communication and collaboration skills

Why Join Tipalti?

• 🤝 Open, inclusive, and supportive engineering culture
• 🧑‍💻 Work on products used by some of the world’s fastest-growing companies
• 💰 Equity in a late-stage scale-up
• 🍽 Breakfast and lunch provided three days a week (Mon, Tue, Thu)
• 🦷 Private medical and dental cover
• 📱 £100/month mobile allowance + £26/month internet allowance
• 🥚 Daily breakfast and snacks in the office
• ✈️ 25 days holiday + bank holidays

Are you the kind of person who gets excited about building systems and workflows?

Do you want to learn how modern GTM engines actually work — the tools, the data, the workflows — and then make them better?

Are you commercially hungry, technically curious, and genuinely excited about what GenAI can do for B2B marketing?

If that sounds like you, keep reading...

About us

Fospha is dedicated to building the world's most powerful measurement solution for online retail. For over a decade, we've helped teams make smarter decisions with full‑funnel marketing insights, forecasting, and optimisation. With Fospha, every team moves faster and grows smarter.

Trusted by leading brands across three continents, including Huel, Oh Polly, and Dyson, Fospha manages $4 billion in annual ad spend.

We're scaling fast across London, Mumbai, and Austin – and we're now looking for a GTM Engineer to join our Marketing team. You'll be responsible for building, running, and improving the activation layer that turns our marketing strategy into qualified pipeline — across ABM, outbound, inbound, events, and partner-led motions.

Ready to build something? Let's go. 🚀

The Role

As a GTM Engineer, you'll own Fospha's outbound and ABM pipeline systems — designing, running, and iterating on the workflows that turn signals into conversations. You'll work hands-on with tools like Claude, HubSpot, and our GenAI hub, and you'll be accountable for moving accounts through the funnel from MEL all the way to SQL.

You'll take full ownership of existing workflows from day one and build new ones as the role matures — including leading initial sales calls and representing Fospha at industry events. This is an ambitious, high-ownership role with a clear commission upside tied directly to the pipeline you create.

Critically, you'll be joining a company that's serious about GenAI. Fospha runs an active GenAI Hub where teams build MCP servers, experiment with Claude Code, and create internal tools that genuinely change how work gets done. We don't just talk about AI — we expect you to dive in, build things, and find new ways to make our GTM machine faster and smarter.

This role is based in our London office and is designed for someone who is early in their career but exceptionally driven — someone who wants to understand the full GTM stack and grow into a senior commercial, operations, or growth role.

Key Responsibilities

Own and architect GTM workflows - Design, build, document, and iterate on signal-based outbound systems using Apollo, HubSpot, Dripify, and AI tooling. You treat every workflow as a system to be optimised.

Translate intent signals into qualified pipeline - Monitor market signals — job changes, engagement data, events, inbound activity — and route accounts through enrichment workflows to activate them from MEL → MAL → MQL → SQL.

Build with GenAI - Actively create prompts, automations, and AI-assisted sequences that sharpen personalisation, compress cycle time, and improve conversion. You're a builder, not a button-presser.

Own pipeline metrics end-to-end - Track and report on response rates, acceptance rates, meetings booked, and pipeline influenced.

Connect Marketing to Sales with precision - Ensure the right accounts are enriched, correctly routed, and handed to Account Executives with full context — so no signal is wasted.

Experiment, document, optimise - Run structured tests on messaging, sequencing, and targeting. Document what works. Turn one-off wins into repeatable, scalable playbooks.

In addition to your core responsibilities, we expect you to be excited by the opportunity Gen AI brings and find new ways of working utilising our Gen AI hub!

What are we looking for?

We hire for potential and mindset. You should apply if you:

• Are technically curious — you love learning new tools, building workflows, and figuring out how systems connect
• Are commercially driven — you care about pipeline, revenue, and winning new business
• Are genuinely excited by GenAI — not just as a buzzword, but as something you actively use and want to build with (experience with tools like Claude, ChatGPT, Cursor, or similar is a strong signal)
• Have strong communication skills and are comfortable working across Marketing, Sales, Partnerships, and RevOps
• Are organised and data-literate — you track what works, learn from what doesn't, and iterate fast
• Want a role with real ownership and progression — this role can grow into senior positions across Growth, RevOps, GTM Strategy, or Sales

Nice to Have (But Not Essential)

• Experience with GTM or marketing automation tools (e.g. HubSpot, Apollo, Dripify, or similar)
• Exposure to ABM, outbound, or demand generation in a B2B context
• Any experience building with AI tools — personal projects, automations, scripts, or internal tools
• Internship or early experience in growth, operations, or sales

Our Values and Principles

You will be able to demonstrate examples of our core principles:

• Seek inclusion & diversity: We create an environment where everyone feels welcome, and people are encouraged to speak and be heard
• Work Hard, Work Well, Work Together: We take responsibility for making things happen, independently and together; we help colleagues in need and close loops, making sure our work is complete and has lasting impact
• Grow: We are proactive, curious and unafraid of failure
• Customer at the heart: We care about the customer, feel their pain and love building product that solves their biggest problems
• Candour with caring: We deliver candid feedback with kindness and receive it with gratitude

What we can offer you

• Competitive base salary and commission  
• Be part of one of the UK's fastest-growing scaleups, trusted by brands like Gymshark, Dyson, and Huel
• Hands-on access to modern GTM tools and an active GenAI environment where you're encouraged to build
• Work directly with experienced leaders across Marketing, Sales, RevOps, and Partnerships
• Be part of a leading global venture builder, Blenheim Chalcot
• Flexible benefits including Private Medical and Dental, gym subsidies, life assurance, and pension
• 25 days of paid holiday + your birthday off!
• Free snacks in the office
• Quarterly team socials

Are you the kind of person who gets excited about building systems and workflows?

Do you want to learn how modern GTM engines actually work — the tools, the data, the workflows — and then make them better?

Are you commercially hungry, technically curious, and genuinely excited about what GenAI can do for B2B marketing?

If that sounds like you, keep reading...

About us

Fospha is dedicated to building the world's most powerful measurement solution for online retail. For over a decade, we've helped teams make smarter decisions with full‑funnel marketing insights, forecasting, and optimisation. With Fospha, every team moves faster and grows smarter.

Trusted by leading brands across three continents, including Huel, Oh Polly, and Dyson, Fospha manages $4 billion in annual ad spend.

We're scaling fast across London, Mumbai, and Austin – and we're now looking for a Marketing Activation Associate to join our Marketing team. You'll be responsible for building, running, and improving the activation layer that turns our marketing strategy into qualified pipeline — across ABM, outbound, inbound, events, and partner-led motions.

Ready to build something? Let's go. 🚀

The Role

As a Marketing Activation Associate you'll own Fospha's outbound and ABM pipeline systems — designing, running, and iterating on the workflows that turn signals into conversations. You'll work hands-on with tools like Claude, HubSpot, and our GenAI hub, and you'll be accountable for moving accounts through the funnel from MEL all the way to SQL.

You'll take full ownership of existing workflows from day one and build new ones as the role matures — including leading initial sales calls and representing Fospha at industry events. This is an ambitious, high-ownership role with a clear commission upside tied directly to the pipeline you create.

Critically, you'll be joining a company that's serious about GenAI. Fospha runs an active GenAI Hub where teams build MCP servers, experiment with Claude Code, and create internal tools that genuinely change how work gets done. We don't just talk about AI — we expect you to dive in, build things, and find new ways to make our GTM machine faster and smarter.

This role is based in our London office and is designed for someone who is early in their career but exceptionally driven — someone who wants to understand the full GTM stack and grow into a senior commercial, operations, or growth role.

Key Responsibilities

Own and architect GTM workflows - Design, build, document, and iterate on signal-based outbound systems using Apollo, HubSpot, Dripify, and AI tooling. You treat every workflow as a system to be optimised.

Translate intent signals into qualified pipeline - Monitor market signals — job changes, engagement data, events, inbound activity — and route accounts through enrichment workflows to activate them from MEL → MAL → MQL → SQL.

Build with GenAI - Actively create prompts, automations, and AI-assisted sequences that sharpen personalisation, compress cycle time, and improve conversion. You're a builder, not a button-presser.

Own pipeline metrics end-to-end - Track and report on response rates, acceptance rates, meetings booked, and pipeline influenced.

Connect Marketing to Sales with precision - Ensure the right accounts are enriched, correctly routed, and handed to Account Executives with full context — so no signal is wasted.

Experiment, document, optimise - Run structured tests on messaging, sequencing, and targeting. Document what works. Turn one-off wins into repeatable, scalable playbooks.

In addition to your core responsibilities, we expect you to be excited by the opportunity Gen AI brings and find new ways of working utilising our Gen AI hub!

What are we looking for?

We hire for potential and mindset. You should apply if you:

• Are technically curious — you love learning new tools, building workflows, and figuring out how systems connect
• Are commercially driven — you care about pipeline, revenue, and winning new business
• Are genuinely excited by GenAI — not just as a buzzword, but as something you actively use and want to build with (experience with tools like Claude, ChatGPT, Cursor, or similar is a strong signal)
• Have strong communication skills and are comfortable working across Marketing, Sales, Partnerships, and RevOps
• Are organised and data-literate — you track what works, learn from what doesn't, and iterate fast
• Want a role with real ownership and progression — this role can grow into senior positions across Growth, RevOps, GTM Strategy, or Sales

Nice to Have (But Not Essential)

• Experience with GTM or marketing automation tools (e.g. HubSpot, Apollo, Dripify, or similar)
• Exposure to ABM, outbound, or demand generation in a B2B context
• Any experience building with AI tools — personal projects, automations, scripts, or internal tools
• Internship or early experience in growth, operations, or sales

Our Values and Principles

You will be able to demonstrate examples of our core principles:

• Seek inclusion & diversity: We create an environment where everyone feels welcome, and people are encouraged to speak and be heard
• Work Hard, Work Well, Work Together: We take responsibility for making things happen, independently and together; we help colleagues in need and close loops, making sure our work is complete and has lasting impact
• Grow: We are proactive, curious and unafraid of failure
• Customer at the heart: We care about the customer, feel their pain and love building product that solves their biggest problems
• Candour with caring: We deliver candid feedback with kindness and receive it with gratitude

What we can offer you

• Competitive base salary and commission  
• Be part of one of the UK's fastest-growing scaleups, trusted by brands like Gymshark, Dyson, and Huel
• Hands-on access to modern GTM tools and an active GenAI environment where you're encouraged to build
• Work directly with experienced leaders across Marketing, Sales, RevOps, and Partnerships
• Be part of a leading global venture builder, Blenheim Chalcot
• Flexible benefits including Private Medical and Dental, gym subsidies, life assurance, and pension
• 25 days of paid holiday + your birthday off!
• Free snacks in the office
• Quarterly team socials

• Develop and monitor credit risk strategies, balancing risk against returns. These strategies may cover a variety of different channels and products, and cover the full credit lifecycle, from new business to Collections
• Develop and maintain frameworks to monitor portfolio risk performance, ensuring it’s within agreed risk appetite; transforming data into recommendations
• Lead analytical deep-dives into portfolio trends and emerging risks
• Represent risk to the wider business, driving changes via the product team and
• presenting analytical work to senior management
• Identify and deliver risk performance improvements across Liberis’s existing and new products globally - from pricing adjustments to policy changes
• Closely collaborate with colleagues across Liberis, especially in the Analytics, Data Science, Partnerships, Pricing and UK/US/European teams

• 2–4 years of experience in an analytical role working on credit risk strategies, portfolio analysis, or lending products
• Demonstrated ability to identify emerging risks and propose practical actions or strategy changes based on data
• Evidence of taking ownership of analyses and driving work through to recommendations and outcomes
• Good commercial awareness - able to balance risk and return when forming recommendations
• Experience working across functions - comfortable managing stakeholders at different levels, presenting risk recommendations to product, commercial, or leadership teams, and adapting your message to the audience
• Hands-on experience with data (SQL, Python, SAS or similar), strong Excel skills, Google Cloud Platform tools (Looker, dbt, Big Query) or Power BI
• Clear communication skills, with the ability to explain complex findings simply and persuasively

What happens next?

Think this sounds like the right next move for you? Or if you’re not completely confident that you fit our exact criteria, apply anyway and we can arrange a call to see if the role is fit for you. Humility is a wonderful thing, and we are interested in hearing about what you can add to Liberis!

Our hybrid approach

Working together in person helps us move faster, collaborate better, and build a great Liberis culture. Our hybrid working policy requires team members to be in the office at least 3 days a week, but ideally 4 days. At Liberis, we embrace flexibility as a core part of our culture, while also valuing the importance of the time our teams spend together in the office.

 #LI-CG1 

As a Customer Data Scientist at Datadog, you will partner directly with customers to help them design, execute, and scale high-impact experimentation programs. This role is ideal for someone with deep experience in applied experimentation who thrives in customer-facing environments and is motivated by driving measurable business outcomes. You will guide customers through experiment design, metric development, and data validation, helping them build trustworthy, decision-driven experimentation practices. Working cross-functionally with Sales, Product, and Engineering, you’ll play a key role in both customer success and product evolution.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Serve as a technical and analytical partner to customers across pre-sales and post-sales engagements, demonstrating the value of Datadog’s experimentation capabilities
• Support proofs of concept by helping customers define metrics, validate data pipelines, and design statistically sound experiments
• Educate customers on best practices in experiment design and interpretation across product, marketing, pricing, and AI-driven use cases
• Enable long-term customer success by building strong experimentation practices and analytical rigor within their teams
• Collaborate with Product and Engineering to translate customer feedback into product improvements and roadmap input
• Partner with Sales and Solutions teams to navigate complex customer needs, address objections, and build trusted relationships

Who You Are:

• 4+ years of experience in data science with a strong foundation in statistics, causal inference, and experimental design in applied business or product contexts
• Hands-on experience running A/B tests and applying advanced experimentation methods such as holdouts, bandits, synthetic controls, or geo-based testing
• Fluent in SQL and comfortable working with data warehouses and pipelines to diagnose and resolve data quality issues
• Experienced in customer-facing, consulting, or pre-sales environments, with the ability to communicate complex ideas clearly to diverse audiences
• Skilled at translating analytical insights into business impact, influencing decisions across technical and non-technical stakeholders
• Experience with experimentation platforms, analytics tooling, or modern data stack technologies (e.g., dbt, Airflow) is a plus

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

 
Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Product Support Engineer, Boomi

Our EMEA Boomi Product Support team is seeking an enthusiastic individual with a strong blend of technical acumen and communication skills, passionate about helping customers. As a Boomi Product Support Engineer, you enjoy working with customers, troubleshooting issues, and finding creative solutions to solve complex technical problems. A Product Support Engineer knows that, in order to make our customers successful, they need to be experts not only in our Boomi products and elements of the platform, but also across a wide range of IT concepts.

This role has specific requirements, detailed below:

- Working week, covering Sunday to Thursday (to align with our UAE customer base)

- Hours of coverage: 7am - 3:30pm UTC

- On-Call rotation (on call schedule to be covered according to business needs)

- Location: Hybrid, Exeter or Remote, UK

Role Responsibilities:

• Providing technical direction and assistance to our partners and customers regarding their use of the Boomi Platform (and all its core elements)

• Assistance and deep dive investigation with identifying root causes for issues reported by our customers

• Resolving complex cases, including integrations with third-party systems and API-related troubleshooting

• Working closely with our customers & partners and collaborating internally with our Engineering, Product Management, and Technical Architecture teams to help address issues with larger scale, higher volume, and unique integration requirements.

• Handling initial escalations for support cases with potential for high impact and visibility across the organization.

• Coaching other support engineers on difficult technical integration issues and actively participating in our community, leveraging their skills and experience to provide further support to our community members.

• Leading knowledge-sharing sessions, writing advanced technical documentation, and contributing to internal training

• Prioritizing and managing escalated issues with our internal development teams.

• Strong communication and presentation skills, managing customer expectations, setting priorities, and communicating complex technical issues across a wide audience with technical and non-technical backgrounds.

• Using and leveraging Boomi’s AI-driven tools and continuously looking for opportunities to engage with their peers, our customer-facing internal teams, and other internal stakeholders on this topic.

• Vocal advocate for the usage of AI agents, always encouraging teams to leverage these capabilities to enhance efficiency and troubleshooting. Actively educating customers through support cases, ensuring they incorporate AI-driven insights into their troubleshooting approach, and improving their overall experience with our products.

Essential Requirements:

• Bachelor’s degree in Computer Engineering, Computer Science or related field of study.

• Experience as a Support Engineer (Application support) or junior developer, with a demonstrated passion for helping customers solve complex integration problems.

• Ability to design, optimize, and integrate business processes.

• Master’s degree in Computer Engineering, Computer Science or a related field of study or experience in related customer facing roles like Product Support Engineer, System engineering, system administration, network consulting.

• Experience with enterprise integration tools that can be used to extend the team’s knowledge.

• Motivated individuals who enjoy a fast-paced work environment and understand that the SaaS culture requires creativity, collaboration, fast decision-making and a sense of urgency.

• Having experience with any of the following would support your success in working with our platform:

  • Experience with programming language (primarily Python)

  • SQL Expertise, Data Modelling, and XML technologies

  • SOAP/REST and HTTP

  • Connecting and working with different APIs

  • Knowledge and hands-on experience with data integration methods, ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform)

  • Deployments of enterprise software systems and SaaS using industry-standard environments, including XML, HTTP/HTTPS, Java

  • Experience with Windows/Linux servers

  • Orchestration and Containerization Tools/Technologies (Kubernetes, Docker)

  • Networking concepts and protocols such as Firewalls, Load Balancers, TLS, HTTP/S, SSL, TCP/IP, S/FTP

  • Installing, administering, and troubleshooting software applications running in the Cloud: Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).#LI-LM1

Senior 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 and 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 repeated success on a variety of projects, typically over the course of 4+ years. You have a broad range of expertise that allows you to make an immediate impact on projects. In your previous experience, you have:

• Successfully contributed to high-stakes consulting engagements from discovery to production 
• Written production-quality code using a variety of languages and frameworks, that include: Python, Java, JavaScript, TypeScript, React, Ruby, Scala, R, SQL, and Go
• Built high-quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients you’ve served 
• Leveraged AI-assistive development tools for tasks like scaffolding, refactoring, debugging, test generation, and documentation, where appropriate
• 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
• Debugged and refactored pre-existing code to incrementally improve it
• Collaborated with teams using Git, MacOS/Linux, and CI/CD
• Remedied architecture-level concerns such as scalability, security, reliability, and performance
• Contributed to forums that encourage idea sharing, collaboration, and problem solving
• Made thoughtful recommendations and set direction in the face of ambiguity
• Mentored and shared knowledge with colleagues
• Actively sought out and effectively given feedback
• Communicated empathically with stakeholders and colleagues
• Influenced stakeholders to balance technical considerations with product and user needs

What You’ll Do At 8th Light

As a senior technologist on projects, you’ll work with a variety of clients, typically one to two in a year, through a variety of technologies and frameworks over the course of your career with us. You’ll work with colleagues who share your passion for technology solutions. You’ll invest time developing your skills and sharing what you know. You’ll be responsible for:

• Making immediate contributions to projects, rapidly building trust with your clients and team
• Working pragmatically to balance technology choices while delivering high-quality work within deadlines
• Contributing to architecture and software design discussions
• Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring
• Generating new potential solutions to challenges (technical and non-technical) in partnership with team members and clients
• Contributing to formal feedback conversations with teams and clients via retrospectives
• Clearly articulating and documenting outcomes and driving forward action items
• Regular syncs with your delivery team to provide status updates, and for identifying and evaluating risks and presenting potential solutions
• Identifying, mitigating, and resolving blockers to team progress
• Pursuing opportunities to further your skills to grow your career and keep pace with the rapid changes within the technology industry 
• Contributing to your team culture by building connections with your fellow 8th Lights, showing up on camera, and leveraging collaboration opportunities, such as coworking spaces and local team gatherings, where appropriate

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:

• MLOps: including tools like LangChain for application development and managing the ML lifecycle
• Data Engineering: including platforms like Databricks for data processing and analytics
• DevSecOps & DevOps
• Infrastructure as Code

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.
• Coworking support for our global team
• 12 weeks of new parent leave available for eligible employees
• Transparent semi-annual promotion panel

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 Senior Engineer position within London is: £56,640-£70,800 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 Role 

An outstanding opportunity awaits you to lead the development of an innovative data-lake-house-as-a-service solution at Addepar. As a Product Manager, you will collaborate with our outstanding engineering teams and forward-thinking clients to successfully implement advanced analytics and data sharing capabilities. This role plays a vital part in fulfilling the ambitious requirements of financial data management and data driven decision making.

Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role.

What You'll Do 

• Develop and implement the product vision for a data lake house product customized to meet the needs of Addepar clients.
• Collaborate with clients to determine data engineering and analytical needs.
• Lead development of key features from requirements definition through delivery.
• Work closely with Data Engineers and Data Scientists to ensure flawless performance and scalability.
• Manage the full product development lifecycle from conceptualization to launch, focusing on continuous improvement.
• Ensure the product remains competitive by staying current with trends in data lake house technologies.
• Regularly communicate updates to collaborators and gather customer feedback.

Who You Are 

• Prior product management experience, ideally with data platforms or engineering products.
• Proficient in data lake house technology and data workflows.
• Technical skills in SQL, Python, and data engineering concepts.
• Proven track record to handle data-intensive product development and client-facing requirements.
• Excellent communication and cross-functional collaboration skills.

Preferred Skills:

• Hands-on experience with Databricks or similar data platforms.
• Familiarity with financial services platforms like Addepar.
• Preferred experience with a scrum-based agile development process.

The Role 

You’ll help Product Operations leverage AI to change how we manage information and take action. You will improve our ability to measure our impact in accelerating the building of features, products, and solutions. This will lead to better, scaled customer experiences.

Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role.

What You’ll Do

• Improve how a Global Organization identifies customer problems, creates, commercializes and operates AI, Data, and Software solutions. 
• Work with stakeholders to design Initiatives and Projects that you will own. 
• Design SMART goals and associated metrics.  
• Improve Product lifecycle and Software development practices.
• Work with Financial Products
• Stocks, Bonds, Mutual Funds, Alternative Investments
• Improve how we serve our Customer Segments
• Wealth Management Firms
• Enterprises / Large Banks
• Institutional Investors

Who You Are 

While it’s helpful to know Financial Services, and more specifically Wealth Management, it isn’t required. You must be willing to learn all aspects of our business, financial products, product development, and business strategy. 

You’re a problem solver with an experimentation mindset. You’ve proven an ability to learn rapidly and you have a desire to teach others. The proof could be a Graduate Degree in a technical or research discipline, having worked as a Consultant, or having a couple of years of experience as a Data Analyst or Software Engineer, working with customers or internal stakeholders using data to understand what’s happening. The important thing isn't the job title, it’s your mindset. 

Must Haves

• Analytical and Problem solving mindset
• Comfortable interacting with stakeholders to decompose abstract problems into experiments  
• SQL expertise
• Prior Software or Data Engineering experience

Nice to Haves

• Consulting Experience
• Proficiency with Ai Tools (specifically Claude), Experience using ML/Ai techniques.
• Proficiency in Python and / or Javascript.
• Experience with Data Lake platforms Databricks (preferred), Snowflake, Amazon Redshift, BigQuery or Microsoft Fabric.
• Experience with Figma, Canva, Lucid etc, or other Design Mocking or Prototyping tools.
• Computer Science, Operations Research, Economics, Statistics, or similar engineering background
• Experience in Financial Services and especially in Wealth Management

The Role

Portfolio Data Integration is part of the broader Addepar Platform team. The overall Addepar Platform provides a single source of truth “data fabric” used by the Addepar product set, including a centralized and self-describing repository (a.k.a Data Lake), a set of API-driven data services, an integration pipeline, analytics infrastructure, warehousing solutions, and operating tools. The team has responsibility for all data acquisition, conversion, cleansing, disambiguation, modeling, tooling and infrastructure related to the integration of client portfolio data.

Addepar’s core business relies on the ability to quickly and accurately ingest data from a variety of sources, including 3rd party data providers, custodial banks, data APIs, and even direct user input. Portfolio Data integrations and feeds are a highly critical cross-section of this set, allowing our users to get automatically updated and reconciled information on their latest holdings onto the platform.

As a data engineer for this team, you will execute the development of new data integrations and maintenance of existing processes in order to expand and improve our data platform. You’ll be adding automation and functionality to our distributed data pipelines by writing PySpark code and integrating it within our Databricks Data Lake. The team operates with an AI-augmented engineering workflow — LLM tools are integrated into code review, testing, and documentation as standard practice, not an experiment. As you gain more experience, you’ll contribute to increasingly challenging engineering projects within our platform with the ultimate goal of dramatically increasing the throughput of data ingestion for Addepar. This is a crucial, highly visible role within the company. Your team is a big component of growing and serving Addepar’s client base with minimal manual effort required from our clients or from our internal data operations team.

Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role.

What You’ll Do

• Complete individual project priorities, deadlines, and solutions.
• Build pipelines that support the ingestion, analysis, and enrichment of financial data in partnership with business data analysts
• Improve the existing pipeline to increase the throughput and accuracy of data
• Develop and maintain efficient process controls and accurate metrics to ensure quality standards and organizational expectations are met
• Partner with members of Product and Engineering to design, test, and implement new processes and tooling features that improve data quality as well as increase operational efficiency
• Identify areas of automation opportunities and implement improvements
• Understand data models and schemas, and work with other engineering teams to recommend extensions and changes
• Use AI-assisted development workflows — The team uses LLM tools (Claude Code) as a standard part of the engineering workflow: pre-review, test generation, code analysis, and documentation. You'll be expected to adopt and contribute to these workflows
• Maintain and improve automated quality gates — Work with AI-powered code review tooling to enforce coding standards, catch regressions before human review, and reduce manual toil in the PR process

Who You Are

• Prior professional data engineering/analysis experience
• Experience with object-oriented programming (we use PySpark/Python)
• Knowledge of SQL or relational database concepts
• Experience in data modeling, visualization, and ETL pipelines
• Comfort working with AI/LLM tools as part of your development workflow (e.g., code assistants, automated review, AI-generated tests). You don't need to be an expert — but you should be curious and willing to adopt new tooling quickly
• Knowledge of financial concepts (e.g., stocks, bonds, etc.) is helpful but not necessary
• Passion for the world of FinTech and solving previously intractable problems at the heart of investment management

Dataiku is looking for a Data Engineer to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA team, you will play a central role in delivering data to fuel analytics and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the data platform that fuels centralized analytics, embedded analytics teams, Generative AI engineering, and self-service users across the organization.

This role is about 50% Data Operations, Support & Troubleshooting, and 50% new development. The data engineering day-to-day will primarily be within the data platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.

Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.

This is an internal and non-client facing role.

What you’ll do: 

Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform.  That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts & Data Consumers! Your responsibilities within the team include but are not limited to:

• Develop engineering expertise within the Dataiku Platform to help maintain and develop system integrations, platform automations, and platform configurations.

• Develop engineering expertise  within Snowflake for data engineering and security/governance features

• Build & maintain python & SQL data replication & data pipelines on large & often complex data sets 

• Build & maintain data quality metrics & observability to help drive data quality standards

• Learn about existing systems and  processes across Data Platforms, Data Engineering and Data Governance

• Troubleshoot data pipelines, platform automations, data access system.

• Help field and troubleshoot various community questions and challenges

• Own, maintain and enhance data operation processes, monitoring & data quality systems

• Design data models for both short term and long term use cases to support data warehouse scalability

• Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency

• Identify opportunities for improvements & optimization for greater scalability & delivery velocity

• Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables

• Perform root cause analysis on often complex errors to help ensure data pipeline availability

• Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration

• Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering

• Proactively drive innovation internally with bringing ideas for platform and process improvements 

• Help contribute to the ongoing documentation of internal systems and processes

Requirements: 

• 2+ years of relevant experience in Data Engineering / Data Platform Engineering

• Strong technical skills in SQL & Python are a must. Experience in Dataiku DSS is a big plus. 

• Prior experience with Snowflake a plus

• Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins

• Experience in building data models

• Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment

• Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas, and challenge the norm.

• Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies

• Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements

• Ability to manage multiple projects and time constraints simultaneously in a high-trust remote environment

• Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same

• Excellent written and verbal communication skills (especially with senior-level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision

Dataiku is looking for a Data Engineer II to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA Team, you will play a central role in delivering data to fuel analytics, AI, and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the Data Platform that fuels centralized analytics, Generative AI engineering, embedded analytics teams, and self-service users across the organization.

You will become a technical expert on the various platforms we work in and help drive engineering excellence both within the EDA team and across the wider Analytics Community. The Data Engineering day to day will primarily be within the Data Platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.

Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. Strong software development lifecycle knowledge and DataOps skills are a must. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.

This is an internal and non-client-facing role.

What you’ll do: 

Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform.  That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts! Your responsibilities within the team include but are not limited to:

• Be an expert level engineer within the Dataiku Platform including Platform Automation, GenAI Capabilities, Plugin Development, maintenance & troubleshooting

• Be an expert  level engineer within Snowflake for data engineering and security/governance features

• Build & maintain python & SQL based platform automation process

• Build & maintain data quality metrics & observability to help drive data quality standards

• Design data models for both short term and long term use cases to support data warehouse scalability

• Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency

• Build & maintain GenAI Platform platform solutions focused on security and governance for engineering delivery

• Build & maintain DataOps process for SDLC delivery

• Identify opportunities for improvements & optimization for greater scalability & delivery velocity

• Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables

• Perform root cause analysis on often complex errors to help ensure data pipeline availability

• Help drive technical & architectural decisions on the data platform including decisions on data architecture, data engineering processes, data quality frameworks, data access security & governance frameworks, DataOps processes & data consumption models.

• Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration

• Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering

• Proactively drive innovation internally with dedicated innovation time & projects that aim to be transformational for either the platform, team or company as a whole.

• Actively contribute to the expertise level and competencies of the EDA Team and participate in the creation and support of data development standards and best practices. 

Requirements : 

• 3+ years of relevant experience in Data Engineering / Data Platform Engineering

• Expertise in SQL & Python is a must. Experience in Dataiku DSS is a big plus. 

• Prior experience with Snowflake strongly desired

• Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins

• Strong understanding of data architecture & data modeling concepts

• Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment

• Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas and challenge the norm.

• Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies

• Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements

• Ability to manage multiple projects and time constraints simultaneously in a high trust remote environment

• Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same

• Excellent written and verbal communication skills (especially with senior level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform.  Ability to create clear and concise documentations with a high degree of precision

ABOUT WORLDQUANT BRAIN

worldquantbrain.com

BRAIN is a group within WorldQuant similar to a traditional B2C fintech setup. Our mission is to simplify quant finance and provide global remote-work opportunities to participants, while they learn quant finance, AI and ML concepts. WorldQuant Brain provides an advanced crowdsourcing platform for external participants to contribute signals, data and more to the firm.

THE ROLE:

WorldQuant is seeking Researchers to join the BRAIN team. BRAIN is WorldQuant’s crowdsourcing initiative that allows anyone in the world with the right skills to become a Quant.

Research

• Create and develop Alphas and other utilization algorithms on BRAIN
• Conduct research on academic quantitative finance literature
• Identify and design new research domains. Generate ideas to grow the domain

Platform development

• Analyze current functionalities available to researchers, identify any issues with the platform and provide solutions and recommendations to the BRAIN team
• Design and test new functionalities and datasets on the BRAIN platform.

Business Development and Consultant Engagement

• Work with BRAIN Strategy and Operations country heads and other Business Development partners to enhance & implement BRAIN business strategy for user and consultant acquisition
• Conduct training sessions for BRAIN users and consultants
• Prepare and update training curriculum of BRAIN

WHAT YOU’LL BRING:

• Familiarity and competence in using BRAIN. Applicants expected to have Consultant status on the BRAIN Platform - worldquantbrain.com
• Possess or expect a Bachelor’s degree or advanced degree in engineering, science, mathematics, finance or any other related field that is highly analytical and quantitative from a leading university
• Demonstrated programming experience in one of the following (Java/C++/C/Python/MySQL/SQL Server); knowledge of UNIX preferred
• Possess a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges
• Have a strong interest in learning about worldwide financial markets
• Possess good communication and presentation skills in English

Position based in London. Visit https://www.worldquant.com/brain/ for more information about WorldQuant Brain.

Location: Remote with expected travel into Paddington 2 days per week.

How You'll Make an Impact:

As a Machine Learning Ops Engineer, you will play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions. Some of these features will use simple heuristic data, while others will leverage advanced machine learning techniques to optimize revenue strategies.

You’ll work closely with product and engineering teams to identify opportunities for improvement, develop innovative solutions, and drive revenue growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You’ll be instrumental in establishing robust MLOps practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models, you’ll own the end-to-end development of our revenue management application—ensuring hotels have the reliable, accurate insights they need to maximize their success.

Our Machine Learning Team:

Our machine learning team is energized by the unique challenge of revolutionizing guest experiences through AI-driven insights, transforming traditional hospitality with cutting-edge predictive algorithms. 

We thrive on collaborative innovation, where data scientists, engineers, and product experts seamlessly blend their expertise to prototype bold ideas and directly impact operational efficiency. 

People who are passionate about continuous learning, unafraid to challenge conventions, and excited by the intersection of hospitality and deep technical prowess will find their home among our forward-thinking team.

What You Bring to the Team:

1. Develop and implement end-to-end machine learning features that enable customers to optimize their revenue strategies, with a strong emphasis on production readiness and system reliability.
2. Establish and maintain robust MLOps practices including CI/CD for model training, testing, deployment, and monitoring.
3. Design, build, and maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large datasets for ML applications.
4. Expertise in using Apache Airflow (or similar orchestration tools like Prefect/Dagster) to define, schedule, and monitor complex data and ML workflows (DAGs).
5. Implement comprehensive software quality and testing processes for ML systems, including unit, integration, and end-to-end testing for both code and data/model performance.
6. Design, train, and rigorously test machine learning models where needed to improve pricing optimization, focusing on statistical validation and production stability.
7. Implement model performance monitoring (e.g., drift detection, data quality checks) to ensure deployed models maintain accuracy and relevance over time.
8. Collaborate cross-functionally with product, engineering, and data science teams to define SLIs/SLOs for ML services and improve system performance, stability, and usability.
9. Conduct structured A/B testing and experimentation to validate model effectiveness and continuously improve performance, documenting results and sharing technical insights.

What Sets You Up for Success:

1. Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
2. 3+ years of experience in a data engineering or machine learning role, with demonstrated success in MLOps and deploying models to production.
3. Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing).
4. Expertise in deploying ML models at scale on AWS, with experience using MLFlow or similar platforms.
5. Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews).
6. Expert-level SQL skills and experience working with large datasets for analysis and modeling.
7. Strong problem-solving skills with the ability to apply creative, data-driven solutions to complex business challenges.
8. Excellent communication and collaboration skills, with experience working cross-functionally with product and engineering teams.

Bonus Skills to Stand Out (Optional):

1. Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment.
2. Experience with data quality monitoring tools and frameworks.
3. Master’s or PhD in Computer Science, Data Science, or a related field. Relevant certifications (AWS, MLFlow, or other data science/ML certifications).

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