About The Team

We work with everything audio at Roku — Audio Quality Assurance (AQA), AV-sync testing, and wireless audio validation. Our team is a collection of Software Engineers and Electrical Technicians who love making solutions on how to test things. If there isn't a solution to a testing problem, we make it — both hardware and software. One of the things we're known for is our huge system setups for testing audio across TVs, soundbars, and headphones.

About The Role

We are looking for a Senior QA Automation Architect to help evolve our test automation capabilities from primarily AV-sync testing into broader Audio Quality (AQ) coverage across Roku TVs, soundbars, and headphones. You'll partner closely with the team lead to architect and advance our automation ecosystem, with a strong emphasis on AI-driven innovation through our internal initiatives. 

This role is best suited for a self-motivated, detail-oriented person who thrives in fast-paced environments. You should be comfortable working through ambiguity and adaptable enough to navigate evolving priorities while consistently delivering high-quality results.

What You'll Be Doing

• Design and implement test analysis systems that identify quality gaps, predict failure patterns, and optimize test effectiveness
• Design systems that collect, analyse and act on the testing data to continuously improve on the quality processes
• Leverage AI-powered tools to implement test automation, failure analysis, root cause identification
• Establish new methodologies for measuring and improving test quality beyond simple pass/fail metrics, focusing on regression prevention and production reliability 
• Define and implement architectural patterns that make testing more effective, maintainable, and aligned with business impact
• Systematic regression tracking and implementing process to prevent regression reoccurrence

We're Excited If You Have

• Expertise with test architecture and automation systems design.
• Programming experience across multiple languages, Python a must.
• Expertise in test automation with embedded systems in the loop. 
• Proven track record in driving test transformation: Experience leading initiatives that significantly improved test effectiveness and reduced production issues
• AI expertise for testing: Ability to design, implement, and optimize solutions leveraging AI tools, and predictive analytics for quality assurance
• Knowledge of continuous integration tools (Jenkins/GitLab, TeamCity, AWS) and their optimisation for quality gates
• Advanced test analysis skills: Experience with test flakiness analysis, failure pattern recognition, and automated root cause identification
• Excellent verbal and written communication skills with ability to influence senior leadership and cross functional teams on quality initiatives
• Leadership experience mentoring engineers and driving organisational change in testing practices
• Experience as project QA or development lead or similar.  
• Certifications or training in AI/ML or AI testing

#LI-AM3

Join AutoProff – Help Shape the Future of Automotive Tech! 🚀🏎️ 

We are looking for a new colleague to join our talented Technology team based at our Vejle office. 

At AutoProff, we believe great technology drives great experiences—and we’re just getting started. We’re on a mission to transform the way vehicles are traded across Europe, and we need curious and driven new colleagues to help us do it. 

As our new Senior Software Engineer, you’ll join a cross-functional team responsible for building a unified seller solution that powers how vehicles enter and move through the AutoProff platform. We focus on enabling dealers to efficiently manage, price, and sell their inventory by combining streamlined vehicle intake, data-driven pricing, and intuitive seller tools. Our work simplifies trade-ins, improves sourcing decisions, and helps dealers act faster and more confidently, ultimately unlocking value earlier in the vehicle lifecycle. 

We foster a developer-friendly culture where innovation isn’t just encouraged; it’s expected. You’ll have access to modern, AI-powered tools to enhance productivity and streamline your daily work. We host hackathons to explore new tech, ideas and tools, and our internal developer forums are open spaces for discussing architecture, new technologies, and tough engineering challenges. Whether building or learning, there's always room to experiment and grow. 

Let's dive into your key responsibilities. You will: 

• Work in a dynamic and international environment with experienced and skilled colleagues 

• Design, develop, and maintain efficient, reusable, and reliable code using engineering best practices and design patterns. 

• Drive a culture of “you build it - you own it” - mentality 

• Identify and act on areas for your own personal development 

• Mentor and coach co-workers on topics that you master. 

The need-to-have skills 

• Proven ability to thrive in environments that value adaptability, shared ownership, and continuous improvement 

• Experience working with .NET and C# 

• Strong understanding of object-oriented programming, distributed systems and event-driven architecture. 

• Experience with relational databases or No-SQL databases 

• Good communication skills and fluency in business English (spoken and written) 

• Open towards and able to quickly learn new technologies 

• Ability to troubleshoot problems, debug and suggest solutions 

• A pragmatic and responsible approach to GenAI, understanding its limitations and risks, and actively establishing guardrails (e.g. reviews, testing, and policies) to ensure safe, compliant, and scalable use in production environments. 

The nice-to-have skills 

• Experience working with AWS Infrastructure or other cloud providers, especially containerization and serverless computing. 

• Experience with RESTful APIs 

We’re eager to hear from you! If this sounds like a great match and sparks your interest, don’t wait, apply today! 

About AutoProff 

AutoProff was founded in 2013 by the experienced car dealer Jesper Ratza in Denmark. The aim was to digitalize B2B used car trading, helping car dealers increase sales and improve profits.  

in August 2022, AutoScout24, the leading specialized pan-European online car marketplace, acquired a majority stake in AutoProff. The partnership has supported the rapid expansion of AutoProff's solutions across Europe and enables the creation of Europe's first fully integrated C2B-B2B-B2C dealing solution for used cars.  

At AutoProff, we specialize in providing online B2B used-car dealing solutions designed to improve the buying and selling experience for professional car dealers and their customers. 

We are the emerging European leader with more than 150,000 B2B used cars on our online trading platforms annually.    

With a focus on effective solutions, digitization and customer service, we are committed to being the home of B2B car dealing for European car dealers.  

CSQ327R46

We’re hiring for multiple roles within our Professional Services team. Depending on experience and scope, this position may be offered as Senior Solutions Consultant, Resident Solutions Architect, or Senior Resident Solutions Architect.

You may know this role as a Big Data Solutions Architect, Analytics Architect, Data Platform Architect, or Technical Consultant. The final title will align to your experience, technical depth, and customer-facing ownership.

As a Data & AI Platform Architect (Professional Services) (Internal Title - Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium-term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of  professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• Extensive experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps 
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 10% of the time
• [Preferred] Databricks Certification but not essential

At Too Good To Go, we have an ambitious goal: to inspire and empower everyone to fight food waste together.

40% of all food produced in the world is wasted. And that has a huge impact on the health of our planet, with 10% of greenhouse gas emissions coming from food waste. 

We’re more than an app: we are a certified B Corporation with a mission to empower everyone to take action against food waste, so alongside our marketplace app, we create educational tools, explore new business solutions - such as our Retail Technologies offering, and influence legislation to help reduce food waste.

We’re growing fast: Our community of 133 million registered users and 261,000 active partners across 21 countries, have together already prevented 517+ million meals from going to waste - avoiding over 1.397.000 tonnes of CO2e!

The role

We are looking for a Backend Software Engineer, to be a part of our Finance team. You will be given freedom and responsibility to design and implement solutions to real world problems together with stakeholders from our financial and compliance teams

You will be involved in all parts of the process: refining, designing, implementing, delivering and maintaining product features.

Your task will be to develop, build and deliver an international top-class product, ensuring quality, maintainability, and sustainability, supported by other experienced colleagues who will guide, train and encourage you to push limits, and improve. We want to be proud of our work and focus more on quality than deadlines.

Tasks could involve automating business essential tasks like invoicing partners, or other financial reporting requiring an analytical mind and attention to detail.

The Tech Stack

We have created a scalable Spring Boot 3 Application running on Java 25 in Kubernetes, deployed in a multi-region setup in AWS. Developers are able to run a full development environment locally, which gives a great developer experience.

Responsibilities

• Build and evolve our backend services and infrastructure to stay ahead of our growth curve.
• Develop exciting new features to make the developer experience better for you and other backend engineers.
• Actively participate in your team’s agile development processes with a continuous improvement mindset.
• Strive to deliver international top-class products with maximum quality, maintainability and scalability.
• Take on additional tasks outside your current boundaries with help from your team to continue to grow and expand your skills.

The ideal candidate

• A wealth of experience in Backend development with the Java ecosystem.
• Proven production experience with Java, SpringBoot, MySQL, Message Systems & GIT.
• Has worked with Domain Driven Design, and Clean, or Hexagonal- Architecture.
• Knowledge of AWS services (SQS, SNS, S3…), ElasticSearch, Redis, GitHub Actions, Docker and Kubernetes.
• Experience with building scalable solutions.
• Enjoys actively participating in a cross-functional product team.
• Takes pride in writing quality code.
• Experience with JUnit and writing tests
• Curiosity about AI-assisted development and openness to adopting new tools and workflows that enhance productivity and software quality.

Our values

• We win together: Food waste is a big beast to fight. We can do it if we win together as Waste Warriors with no ego. We believe in a #oneteam.
• We raise the bar: We always push for more. We work smart, smash barriers and elevate one another.
• We keep it simple: Our ambitions are bold but our solutions are simple.
• We build a legacy: We’re proud of the change we’re driving. 
• We care: We always look out for each other. Caring is also about the way we do business. We do the right thing.

What We Have To Offer

• An opportunity to work in a global social-impact company and certified B Corporation! where you can see a real and tangible impact in your role.
• To be an integral member of our defined product teams. We are eager for you to make an impact and contribute to the product scope and development; Your insights are valuable, and we are here to listen.
• Work-life balance is important to us! Focus on the job to be done, not the hours spent, there is no need for overtime.  On-call duty is not part of the job, but can be additionally agreed upon should you and your manager both wish it. We believe in happy environments create happy employees. 
• We trust in our employees and encourage an autonomous environment that provides several opportunities for employees to contribute, develop and take ownership of their work in a way that works for them.
• To be part of an international company, with over 1,200+ colleagues across 17 countries that are on the same important mission.
• An informal environment, working alongside a tech team of over 90 passionate people, we celebrate our differences and our successes and have a strong values-driven team culture.

How to apply

• We take recruitment very seriously, so please carefully read everything we have written above. Please also check our website and international media in order to get a good overview of Too Good To Go.
• Submit your CV in English.
• Please note that we only accept applications coming through our platform. No CV will be accepted by email or LinkedIn direct messaging.

Job Ref: #LI-TC1

#LI-Hybrid

We are looking for a Senior Quantum Field Engineer. As a Senior Quantum Field Engineer, you’ll be part of a team whose mission is to lead IonQ on its journey to build the world’s best quantum solutions and solve the world’s most complex problems.  Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have impact.

Join a nimble team of scientists, engineers, salespeople, marketers, business developers, and product managers to drive an entirely new quantum computing business. We’re seeking versatile engineers and architects skilled in technical sales, technical demos and customer interactions who feel energized to deliver IonQ’s quantum computing products and quantum applications. 

Responsibilities:

• Inspire prospective clients by explaining IonQ’s strategy, portfolio and answering technical questions about quantum portfolio (compute, network, security, sensing and space) and quantum applications.
• Lead and shepherd client discussions, inspiring them to see how quantum applications can be implemented in their business domain.
• This includes working through business needs and mapping Quantum Algorithms (financial services, bioscience, chemistry and materials, optimization, generative AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ Application team.
• Share insights from clients with the IonQ Product Management and Engineering teams such that client feedback is incorporated into our products.
• Navigate competitive objection handling
• Translate business needs expressed by our clients into technical work projects in collaboration with other team members.
• Create assets to explain features of our quantum applications and other IonQ quantum products.
• Move dialogs from initial ideation to focused exploration domain through to proof-of-concept and ultimately into production workflows.
• Lead client discovery sessions for business-oriented use cases that uncover potential overlap with development of useful quantum algorithms together with the IonQ Application team
• Partner with marketing, developer relations and business development to grow awareness of IonQ in the world at large.
• Attend industry conferences, as needed, to talk to client and support our booth activities.
• Some travel expected in the US (20%) but opportunities for global travel are available as well for client meeting and IonQ conference activities.
• This is a technical customer-facing role with the appropriate balance of compensation acceleration for success and a base salary to ensure that credibility and technical correctness always come first.

You’d be a good fit with:

• 5 years of experience in technical customer-facing roles or equivalent capacity.  The ability to communicate (at the various context-appropriate levels of depth) and persuade clearly, have strong EQ, and other customer facings skills are critical.
• Bachelor’s degree or above in Computer Science, Machine Learning, Data Science, or other STEM field, such as Chemistry, Physics or Engineering
• Motivated learner with a strong interest in quantum computing.

You’d be a great fit with: 

• Masters or PhD in a STEM field, perhaps adjacent to quantum computing.
• Time on the customer side in various verticals included leadership roles - this provides customer empathy
• Hands-on experience with Qiskit, Cirq or other quantum computing SDK.
• Proficient in Python and Jupyter Notebooks.
• Expert architecture skills across various technologies (“full stack skills”)
• Experience leading technical events.

Location: This position requires candidates to be based in the Nordics (Denmark, Finland, Iceland, Norway or Sweden).
Travel: 20% travel domestically and globally
Job ID: 1375

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

The Role

As a Senior Software Engineer you will provide technical leadership to the group responsible for architecting, developing, and owning Addressability part of the Zeta Marketing Platform. You will collaborate with Engineers, Product Managers and Executives across the organization to develop a roadmap and subsequent projects to build the next generation comprehensive, multichannel marketing solution that unifies and unlocks data across digital touch points, driving return on marketing investment. 

This position will be responsible for the design and development of realtime systems of The Zeta Marketing Platform and LiveIntent, working on technology that enables access to core of Identity Solutions. You will mentor an organization of developers through your knowledge sharing sessions that will guide and strengthen their knowledge.
You should have a deep knowledge of distributed systems and cloud architecture. You will need extensive design and development experience and passion about working with large amounts of data and designing reliable low-latency data processing systems. 

This is a hybrid role based out of our London, UK office

Essential Responsibilities:

As a Senior Software Engineer, your responsibilities will include:

• Building, refining, tuning, and maintaining our real-time infrastructure
• Designing, developing and maintaining services responsible for data collection and real-time data processing
• Working with Product Managers to design and build data products
• Working with our DevOps team to scale and optimize our infrastructure
• Participate in architecture discussions, influence the road map, take ownership and responsibility over new projects
• Participating in on-call rotation (be available by phone or email in case something goes wrong)

Desired Characteristics:

• Minimum 4 years of software engineering experience.
• An undergraduate degree in Computer Science (or a related field) from a university where the primary language of instruction is English is strongly desired.
• 2+ Years of Experience/Fluency in Scala/Java
• Proficient with both relational and NoSQL databases
• Experience working with container-based solutions is a plus.
• Experience in adequate usage of libraries such as ZIO, Akka, Play Framework is a plus
• Experience in adequate usage of cloud services (AWS) at scale
• Experience in adequate usage of Terraform
• Proven long term experience and enthusiasm for distributed data processing at scale, eagerness to learn new things.
• Expertise in designing and architecting distributed low latency and scalable solutions in cloud.
• Exposure to the whole software development lifecycle from inception to production and monitoring.
• Experience in Advertising Attribution domain is a plus
• Experience in agile software development processes
• Excellent interpersonal and communication skills

BENEFITS & PERKS

• Excellent medical, dental, and vision coverage

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

#LI-NP1

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

The Role

As a Senior Software Engineer you will provide technical leadership to the group responsible for architecting, developing, and owning Addressability part of the Zeta Marketing Platform. You will collaborate with Engineers, Product Managers and Executives across the organization to develop a roadmap and subsequent projects to build the next generation comprehensive, multichannel marketing solution that unifies and unlocks data across digital touch points, driving return on marketing investment. 

This position will be responsible for the design and development of realtime systems of The Zeta Marketing Platform and LiveIntent, working on technology that enables access to core of Identity Solutions. You will mentor an organization of developers through your knowledge sharing sessions that will guide and strengthen their knowledge.
You should have a deep knowledge of distributed systems and cloud architecture. You will need extensive design and development experience and passion about working with large amounts of data and designing reliable low-latency data processing systems. 

This is a hybrid role based out of our Prague, Czech Republic office

Essential Responsibilities:

As a Senior Software Engineer, your responsibilities will include:

• Building, refining, tuning, and maintaining our real-time infrastructure
• Designing, developing and maintaining services responsible for data collection and real-time data processing
• Working with Product Managers to design and build data products
• Working with our DevOps team to scale and optimize our infrastructure
• Participate in architecture discussions, influence the road map, take ownership and responsibility over new projects
• Participating in on-call rotation (be available by phone or email in case something goes wrong)

Desired Characteristics:

• Minimum 4 years of software engineering experience.
• An undergraduate degree in Computer Science (or a related field) from a university where the primary language of instruction is English is strongly desired.
• 2+ Years of Experience/Fluency in Scala/Java
• Proficient with both relational and NoSQL databases
• Experience working with container-based solutions is a plus.
• Experience in adequate usage of libraries such as ZIO, Akka, Play Framework is a plus
• Experience in adequate usage of cloud services (AWS) at scale
• Experience in adequate usage of Terraform
• Proven long term experience and enthusiasm for distributed data processing at scale, eagerness to learn new things.
• Expertise in designing and architecting distributed low latency and scalable solutions in cloud.
• Exposure to the whole software development lifecycle from inception to production and monitoring.
• Experience in Advertising Attribution domain is a plus
• Experience in agile software development processes
• Excellent interpersonal and communication skills

BENEFITS & PERKS

• Excellent medical, dental, and vision coverage

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

#LI-NP1

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

The Role

As a Senior Software Engineer you will provide technical leadership to the group responsible for architecting, developing, and owning Addressability part of the Zeta Marketing Platform. You will collaborate with Engineers, Product Managers and Executives across the organization to develop a roadmap and subsequent projects to build the next generation comprehensive, multichannel marketing solution that unifies and unlocks data across digital touch points, driving return on marketing investment. 

This position will be responsible for the design and development of realtime systems of The Zeta Marketing Platform and LiveIntent, working on technology that enables access to core of Identity Solutions. You will mentor an organization of developers through your knowledge sharing sessions that will guide and strengthen their knowledge.
You should have a deep knowledge of distributed systems and cloud architecture. You will need extensive design and development experience and passion about working with large amounts of data and designing reliable low-latency data processing systems. 

This is a hybrid role based out of our Berlin, Germany office

Essential Responsibilities:

As a Senior Software Engineer, your responsibilities will include:

• Building, refining, tuning, and maintaining our real-time infrastructure
• Designing, developing and maintaining services responsible for data collection and real-time data processing
• Working with Product Managers to design and build data products
• Working with our DevOps team to scale and optimize our infrastructure
• Participate in architecture discussions, influence the road map, take ownership and responsibility over new projects
• Participating in on-call rotation (be available by phone or email in case something goes wrong)

Desired Characteristics:

• Minimum 4 years of software engineering experience.
• An undergraduate degree in Computer Science (or a related field) from a university where the primary language of instruction is English is strongly desired.
• 2+ Years of Experience/Fluency in Scala/Java
• Proficient with both relational and NoSQL databases
• Experience working with container-based solutions is a plus.
• Experience in adequate usage of libraries such as ZIO, Akka, Play Framework is a plus
• Experience in adequate usage of cloud services (AWS) at scale
• Experience in adequate usage of Terraform
• Proven long term experience and enthusiasm for distributed data processing at scale, eagerness to learn new things.
• Expertise in designing and architecting distributed low latency and scalable solutions in cloud.
• Exposure to the whole software development lifecycle from inception to production and monitoring.
• Experience in Advertising Attribution domain is a plus
• Experience in agile software development processes
• Excellent interpersonal and communication skills

BENEFITS & PERKS

• Excellent medical, dental, and vision coverage

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

#LI-NP1

Who we are

In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need to have a passion for technology. We believe in the joy of serving others, and that's why we created Otter – to help restaurateurs succeed in online food delivery. Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry’s, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches.

What you’ll do

As a Backend Engineer, you’ll design, implement, and optimize systems that power mission-critical applications. Your role will adapt to your strengths and interests, with opportunities to focus on:

• Infrastructure: Build and maintain scalable, secure, and high-performance systems to ensure operational reliability.
• Platform: Develop robust APIs and developer tools to improve team efficiency and scalability.
• Product: Engineer backend services that support customer-facing applications and deliver seamless user experiences.

Core Responsibilities:

• Architect and implement scalable backend systems and APIs.
• Ensure high system performance, reliability, and security.
• Collaborate with product managers, designers, and other engineers to deliver end-to-end solutions.
• Participate in code reviews, testing, and documentation to maintain high-quality standards.
• Mentor junior engineers or take on leadership roles, depending on your seniority.

What we’re looking for

We value diversity of experience and are looking for individuals passionate about solving complex problems. 

Basic Qualifications:

• Proficiency in backend programming languages like Java or Go.
• Familiarity with relational and/or NoSQL databases (e.g., PostgreSQL, MongoDB, Redis).
• Experience with cloud platforms like AWS, Google Cloud, or Azure.
• Understanding of RESTful APIs, microservices, and distributed systems.
• Strong debugging and problem-solving skills.

Preferred Qualifications (for Senior Levels):

• Experience with containerization technologies like Docker and Kubernetes.
• Knowledge of CI/CD pipelines and DevOps practices.
• Exposure to large-scale data processing or event-driven architectures.
• Leadership experience in team projects or mentoring roles.

Why join us

• Demand for online food delivery is growing really fast! In the last 5 years, just in the US, the overall market has expanded 10X from $10B to $100B, and could expand to $500bn- $1T by 2030.
• Changing the restaurant industry: You’ll be part of a team that helps restaurants succeed in online food delivery. 
• Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you’ll work closely with other teams to ensure our customer’s success.

What else you need to know

This role is based in our Aarhus office location. As a company driven by innovation and continuous change, close collaboration is essential. We’re constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That’s why all of our office-based teams work onsite, five days a week.

As an Enterprise Sales Engineer, you will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POVs). Sales Engineers help qualify and close opportunities with customers and partners and have a voice with the product team to help prioritize features based on input from customers, competitors, and partners.

What You’ll Do:

• Partner with the Sales team to articulate the overall Datadog value proposition, vision and strategy to customers
• Own technical engagement with customers during the trial phase. Communicate Datadog’s value based on activities and work with customers on any identified issues or concerns to successful conclusion
• Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility
• Deliver product and technical briefings / presentations to potential clients
• Maintain accurate notes and feedback in CRM regarding customer input both wins and losses
• Proactively engage and communicate with customers and Datadog business/technical teams regarding product feedback and competitive landscape

 Who You Are:

• Passionate about educating customers on observability risks that are meaningful to their business, and able to build and execute an evaluation plan with a customer
• Someone with strong written and oral communication skills. This role requires an ability to understand and articulate both the business benefits (value proposition) and technical advantages of our offering
• Hungry to learn new technologies and tools
• Someone with a minimum of 3+ years in a Sales Engineering or DevOps Engineering role
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 45% of the time

Bonus points if you have:

Experience with LinuxExperience with Python developmentKnowledge of Kubernetes & kubectlExperience with AWS, GCP and/or Azure

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.

#LI-Hybrid

About the Role

Veeam is seeking an experienced Technical Account Manager (TAM) in Denmark to serve as a trusted advisor and dedicated technical liaison for our enterprise customers. In this high-impact role, you will drive customer success by ensuring Veeam’s solutions are optimally implemented, aligned with the customer’s business continuity and data management objectives, and delivering maximum value. As a TAM, you sit at the intersection of technology and business – partnering closely with customers to accelerate their time-to-value with Veeam, proactively preventing issues through best-practice guidance, and acting as the customer’s advocate inside Veeam. This position is strategically important to Veeam’s vision of enabling data resilience: TAMs manage some of Veeam’s most significant customers, helping to maximize adoption, retention, and expansion of Veeam products by making our solutions indispensable to their operations. If you are passionate about customer success, have deep technical expertise in IT infrastructure, and excel at building relationships, this role offers the opportunity to make a real impact for Veeam’s customers and contribute to our continued market leadership in data protection. 

Location: Based in Sweden (Work from Home combined with face-to-face customer visits)

What You'll Do

As a Technical Account Manager at Veeam, your responsibilities will include: 

• Customer Onboarding & Engagement Planning: Lead the onboarding of new business customers in Denmark, including kickoff meetings and initial solution architecture planning. Ensure a smooth deployment of Veeam solutions by coordinating stakeholder introductions, gathering requirements, and setting up success criteria and engagement plans from day one. 

• Proactive Account Management: Manage a portfolio of strategic customer accounts with a proactive, consultative approach. Conduct regular health checks, risk assessments, and environment reviews to gauge the customer’s data protection status and identify improvement areas. Develop tailored recommendations and best practice guidance to optimize customers Veeam environments for performance, security, and reliability. 

• Technical Guidance & Project Coordination: Oversee all aspects of Veeam’s professional services engagements for your accounts, from planning and design to coordination of implementation efforts. Provide input into the creation of proposals and Statements of Work (SOW) for new services or projects. Ensure projects are effectively managed – including developing project plans, timelines, communication cadence, and resource coordination – so that deployments and initiatives stay on track. While the TAM role is advisory (one day per week per customer) rather than hands-on implementation, you will closely guide and mentor the customer (and partner or internal teams) through the successful execution of Veeam solution rollouts. 

• Issue Escalation & Advocacy: Act as the primary point of contact for your customers’ technical needs and ensure their issues are addressed with urgency. Quarterback support escalations by working directly with Veeam Support and Product  

• Quarterly Business Reviews & Executive Reporting: Prepare and deliver regular Quarterly Business Review (QBR) meetings for each of your customers. In these executive-level reviews, you will highlight achievements from the last quarter, review key metrics and support cases, and demonstrate the ROI and business value realized from Veeam’s solutions.  

• Knowledge Transfer & Best Practices: Serve as a Veeam subject-matter expert, providing ongoing guidance and knowledge transfer to customers. This includes delivering hands-on workshops or training sessions (onsite or remote) to increase the customer’s proficiency with Veeam’s products. You will develop custom best-practice documentation, white papers, architectural diagrams or runbooks as needed to support the customer’s environment.  

• Monitoring & Reporting: Continuously document customer environments and activities. Maintain up-to-date records of the customer’s Veeam deployment (configurations, changes, health check results, etc.) and of all engagements/deliverables provided. Provide regular status updates and reports to customers and internal stakeholders (sales, customer success) on ongoing projects, support tickets, and value delivered.  

• Cross-Functional Collaboration: Collaborate closely with other Veeam teams to ensure holistic support for the customer. You will work with Customer Success Managers to share insights and support overall account health and renewal readiness. Partner with Sales and Account Managers to identify up-sell or cross-sell opportunities, and assist in demonstrating the value of TAM services to new prospects or renewals. Coordinate with Veeam’s Professional Services consultants or VASP partners if projects require deeper technical implementation work, ensuring a seamless experience for the customer. 

• Continuous Improvement: Provide feedback and insights to improve Veeam’s processes, services, and products. You’ll leverage your frontline experience to suggest enhancements to TAM methodologies, contribute to the development of best practice templates, and help evolve our service offerings. Internally, you may mentor new TAMs or share knowledge across the team, fostering a culture of excellence and continuous learning within Veeam’s Technical Account Management practice. 

What You'll Bring: 

• Technical Expertise: Strong hands-on experience with Veeam’s core products and a broad background in enterprise IT infrastructure. You should have significant knowledge of data center technologies, including virtualization (VMware vSphere and Microsoft Hyper-V), operating systems (Windows and Linux), networking (Ethernet, Fibre Channel), and storage/backup systems (experience with technologies from vendors like EMC, NetApp, IBM, HP, etc. is a plus). Familiarity with cloud platforms and services (IaaS/PaaS) and their integration with backup and DR strategies is expected. 

• Problem Solving & Project Management: Proven experience in IT consulting, systems engineering, or technical project management, preferably in a customer-facing capacity. You have a track record of successfully managing multiple projects or accounts simultaneously, coordinating cross-functional teams and meeting deliverables.  

• Communication & Customer Engagement: Excellent communication and interpersonal skills. You excel at building relationships with customers and can confidently engage at various levels of seniority – from technical engineers to CIOs.  

• Education & Certifications: Degree in a relevant technology field (or equivalent combination of education and experience). Industry certifications are highly regarded  

• Domain Knowledge: Solid understanding of data management, data protection, backup/DR, and business continuity practices.  

• Language: Fluency in Swedish and English (written and spoken) is required. 

Bonus skills:

• Veeam Expertise: Previous experience in a Technical Account Manager, Customer Success Manager, or Consulting Systems Engineer role for a software or IT services company. Direct experience supporting data backup, disaster recovery, or cloud data management solutions in enterprise environments is a strong plus. 

• Additional Certifications: Veeam Certified Architect (VMCA) certification, or vendor-specific certifications related to storage, cloud, or security (e.g. AWS/Azure Solutions Architect, Cisco networking, CISSP) would be an asset, demonstrating a well-rounded technical skill set. 

• Soft Skills: Demonstrated ability in strategic planning, seeing the “big picture” for customers. Experience in handling challenging customer situations or critical escalations with calmness and professionalism. A proactive mindset with a passion for continuous learning and staying updated on industry trends. 

What You'll Get:

• 30 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private health insurance with priority access to treatment
• Life insurance with enhanced coverage and child benefit
• Disability insurance after 90 days of illness
• Accident insurance covering work and commute
• Supplemental pension with employer contribution
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

*The role is based in Sweden with the ability to work remotely/from home, combined with travel for on-site customer visits as needed. 

Please note: If an applicant is permanently located outside of the Sweden, Veeam reserves the right to decline the application for this position.

#LI-Remote

#LI-AG2 

About the Role

Veeam is seeking an experienced Technical Account Manager (TAM) in Denmark to serve as a trusted advisor and dedicated technical liaison for our enterprise customers. In this high-impact role, you will drive customer success by ensuring Veeam’s solutions are optimally implemented, aligned with the customer’s business continuity and data management objectives, and delivering maximum value. As a TAM, you sit at the intersection of technology and business – partnering closely with customers to accelerate their time-to-value with Veeam, proactively preventing issues through best-practice guidance, and acting as the customer’s advocate inside Veeam. This position is strategically important to Veeam’s vision of enabling data resilience: TAMs manage some of Veeam’s most significant customers, helping to maximize adoption, retention, and expansion of Veeam products by making our solutions indispensable to their operations. If you are passionate about customer success, have deep technical expertise in IT infrastructure, and excel at building relationships, this role offers the opportunity to make a real impact for Veeam’s customers and contribute to our continued market leadership in data protection. 

Location: Based in Denmark (Work from Home combined with face-to-face customer visits)

What You'll Do

As a Technical Account Manager at Veeam, your responsibilities will include: 

• Customer Onboarding & Engagement Planning: Lead the onboarding of new business customers in Denmark, including kickoff meetings and initial solution architecture planning. Ensure a smooth deployment of Veeam solutions by coordinating stakeholder introductions, gathering requirements, and setting up success criteria and engagement plans from day one. 

• Proactive Account Management: Manage a portfolio of strategic customer accounts with a proactive, consultative approach. Conduct regular health checks, risk assessments, and environment reviews to gauge the customer’s data protection status and identify improvement areas. Develop tailored recommendations and best practice guidance to optimize customers Veeam environments for performance, security, and reliability. 

• Technical Guidance & Project Coordination: Oversee all aspects of Veeam’s professional services engagements for your accounts, from planning and design to coordination of implementation efforts. Provide input into the creation of proposals and Statements of Work (SOW) for new services or projects. Ensure projects are effectively managed – including developing project plans, timelines, communication cadence, and resource coordination – so that deployments and initiatives stay on track. While the TAM role is advisory (one day per week per customer) rather than hands-on implementation, you will closely guide and mentor the customer (and partner or internal teams) through the successful execution of Veeam solution rollouts. 

• Issue Escalation & Advocacy: Act as the primary point of contact for your customers’ technical needs and ensure their issues are addressed with urgency. Quarterback support escalations by working directly with Veeam Support and Product  

• Quarterly Business Reviews & Executive Reporting: Prepare and deliver regular Quarterly Business Review (QBR) meetings for each of your customers. In these executive-level reviews, you will highlight achievements from the last quarter, review key metrics and support cases, and demonstrate the ROI and business value realized from Veeam’s solutions.  

• Knowledge Transfer & Best Practices: Serve as a Veeam subject-matter expert, providing ongoing guidance and knowledge transfer to customers. This includes delivering hands-on workshops or training sessions (onsite or remote) to increase the customer’s proficiency with Veeam’s products. You will develop custom best-practice documentation, white papers, architectural diagrams or runbooks as needed to support the customer’s environment.  

• Monitoring & Reporting: Continuously document customer environments and activities. Maintain up-to-date records of the customer’s Veeam deployment (configurations, changes, health check results, etc.) and of all engagements/deliverables provided. Provide regular status updates and reports to customers and internal stakeholders (sales, customer success) on ongoing projects, support tickets, and value delivered.  

• Cross-Functional Collaboration: Collaborate closely with other Veeam teams to ensure holistic support for the customer. You will work with Customer Success Managers to share insights and support overall account health and renewal readiness. Partner with Sales and Account Managers to identify up-sell or cross-sell opportunities, and assist in demonstrating the value of TAM services to new prospects or renewals. Coordinate with Veeam’s Professional Services consultants or VASP partners if projects require deeper technical implementation work, ensuring a seamless experience for the customer. 

• Continuous Improvement: Provide feedback and insights to improve Veeam’s processes, services, and products. You’ll leverage your frontline experience to suggest enhancements to TAM methodologies, contribute to the development of best practice templates, and help evolve our service offerings. Internally, you may mentor new TAMs or share knowledge across the team, fostering a culture of excellence and continuous learning within Veeam’s Technical Account Management practice. 

What You'll Bring: 

• Technical Expertise: Strong hands-on experience with Veeam’s core products and a broad background in enterprise IT infrastructure. You should have significant knowledge of data center technologies, including virtualization (VMware vSphere and Microsoft Hyper-V), operating systems (Windows and Linux), networking (Ethernet, Fibre Channel), and storage/backup systems (experience with technologies from vendors like EMC, NetApp, IBM, HP, etc. is a plus). Familiarity with cloud platforms and services (IaaS/PaaS) and their integration with backup and DR strategies is expected. 

• Problem Solving & Project Management: Proven experience in IT consulting, systems engineering, or technical project management, preferably in a customer-facing capacity. You have a track record of successfully managing multiple projects or accounts simultaneously, coordinating cross-functional teams and meeting deliverables.  

• Communication & Customer Engagement: Excellent communication and interpersonal skills. You excel at building relationships with customers and can confidently engage at various levels of seniority – from technical engineers to CIOs.  

• Education & Certifications: Degree in a relevant technology field (or equivalent combination of education and experience). Industry certifications are highly regarded  

• Domain Knowledge: Solid understanding of data management, data protection, backup/DR, and business continuity practices.  

• Language: Fluency in Danish and English (written and spoken) is required. 

Bonus skills:

• Veeam Expertise: Previous experience in a Technical Account Manager, Customer Success Manager, or Consulting Systems Engineer role for a software or IT services company. Direct experience supporting data backup, disaster recovery, or cloud data management solutions in enterprise environments is a strong plus. 

• Additional Certifications: Veeam Certified Architect (VMCA) certification, or vendor-specific certifications related to storage, cloud, or security (e.g. AWS/Azure Solutions Architect, Cisco networking, CISSP) would be an asset, demonstrating a well-rounded technical skill set. 

• Soft Skills: Demonstrated ability in strategic planning, seeing the “big picture” for customers. Experience in handling challenging customer situations or critical escalations with calmness and professionalism. A proactive mindset with a passion for continuous learning and staying updated on industry trends. 

What You'll Get:

• 30 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Monthly employer-paid allowance for private healthcare
• Monthly private pension allowance based on base salary
• Mandatory workers’ compensation and injury insurance
• Employer contributions to Danish social security schemes (including ATP, AUB, AES, AFU, maternity leave fund, and more)
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

*The role is based in Denmark with the ability to work remotely/from home, combined with travel for on-site customer visits as needed. 

Please note: If an applicant is permanently located outside of the Denmark, Veeam reserves the right to decline the application for this position.

#LI-Remote #LI-AG2 

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

At Too Good To Go, we have an ambitious goal: to inspire and empower everyone to fight food waste together.

40% of all food produced in the world is wasted. And that has a huge impact on the health of our planet, with 10% of greenhouse gas emissions coming from food waste. 

We’re more than an app: we are a certified B Corporation with a mission to empower everyone to take action against food waste, so alongside our marketplace app, we create educational tools, explore new business solutions - such as our Retail Technologies offering, and influence legislation to help reduce food waste.

We’re growing fast: Our community of 133 million registered users and 261,000 active partners across 21 countries, have together already prevented 517+ million meals from going to waste - avoiding over 1.397.000 tonnes of CO2e!

The Role

Too Good To Go is looking for a Senior Data Engineer (we would also consider mid-levels) to further enhance our existing data platform. You will be a part of our data platform team and will be based from our HQ in Copenhagen.

You get to bring your own opinions and experience when it comes to the technology stack. We’ve kept the legacy systems to a minimum, so there is room to adapt and optimize.

Tech Stack

Our data stack consists of Airflow, Python, dlt, AWS Redshift, lambda, Kinesis, S3, glue, dbt, metaflow and we use Terraform to manage our infrastructure using GitOps principle. We have access to a number of AI tools to boost development productivity.

Responsibilities 

• Design, build, and maintain a data platform and data pipelines from end-to-end, ensuring data accuracy, availability, and quality for the Tech, Product and Analytics teams
• Collaborate closely with software engineers and analytics engineers to understand data requirements, develop data models, and optimize data pipelines for advanced analytics and machine learning use cases
• Develop and maintain scalable, efficient, and reliable ETL processes, using best practices for data ingestion, storage, and processing
• Work with stakeholders to identify and prioritize analytics requirements
• Proactively monitor data pipelines, troubleshoot, and resolve data-related issues
• Contribute to the continuous improvement of data engineering practices, including documentation, code reviews, and knowledge sharing

Desired Experience

• Proven experience in a similar role, working in full autonomy but also collaboratively.
• Experience with infrastructure-as-code, with Terraform.
• A background in building scalable and data-intensive applications on cloud infrastructure.
• Fluent in Python & SQL and you understand the internals of modern data warehouses 
• Experience with CI/CD tools, github actions, Docker (ideally on Kubernetes).
• You have worked with Airflow or similar orchestration tools.
• Experience applying DevOps principles to data systems (DataOps).
• Exposure to ML platforms.
• Event stream processing.
• Significant knowledge of AWS services (or other cloud providers), particularly those related to data storage, processing, and analytics (e.g.,S3, Kinesis, Lambda, Redshift, OpenSearch, RDS, Glue).
• Some experience to modern data architecture

Our values

• We win together: Food waste is a big beast to fight. We believe in a #oneteam.
• We raise the bar: We always push for more. We work smart, smash barriers and elevate one another.
• We keep it simple: Our ambitions are bold but our solutions are simple.
• We build a legacy: We’re proud of the change we’re driving. 
• We care: We always look out for each other. Caring is also about the way we do business. We do the right thing.

What We Have To Offer

• An opportunity to work in a global social-impact company and certified B Corporation! where you can see a real and tangible impact in your role.
• To be an integral member of our defined product teams. We are eager for you to make an impact and contribute to the product scope and development; Your insights are valuable, and we are here to listen.
• Work-life balance is important to us! Focus on the job to be done, not the hours spent, there is no need for overtime. On-call duty is not part of the job, but can be additionally agreed upon should you and your manager both wish it. We believe that happy environments create happy employees. 
• We trust in our employees and encourage an autonomous environment that provides several opportunities for employees to contribute, develop and take ownership of their work in a way that works for them.
• To be part of an international company, with over 1,300+ colleagues across 21 countries that are on the same important mission.
• An informal environment, working alongside 180+ passionate people within Tech & Product
• We celebrate our differences and our successes and have a strong values-driven team culture.
• We work in a hybrid set-up and value in office work weekly.
• We may be able to support you with a working visa in Copenhagen, please be prepared to discuss this topic further as your first stage interview.

 How to apply

• We take recruitment very seriously, so please carefully read everything we have written above.
• Please also check our website and international media in order to get a good overview of Too Good To Go.
• Please submit your CV and Cover letter in English.
• Please note that we only accept applications coming through our platform. No CV or Cover Letter will be accepted by email or LinkedIn direct messaging.

Job Ref: #LI-CT1

RDQ326R15

The Incident Response team's mission is to respond to security threats, incidents and investigations to protect our customers, employees and enterprise data in a fast, efficient and standardised manner. We're a tight-knit team of security incident responders and incident handlers doing "Security for Databricks on Databricks", using our own platform to create near-real-time log analytics, alerting and forensics.

You will be an individual contributor on the security Incident Response (IR) team at Databricks, reporting to the regional IR manager. You will be responsible for conducting security analysis and forensics, responding to high-priority alerts and contributing to automations and agentic capabilities. You will be a security multiplier and help the team scale security incident response at Databricks.

The impact you will have:

• You will respond to incidents as part of a distributed 24x7 operations and on-call schedule.
• You will triage and respond to security events and alerts, ensuring quick and effective containment.
• You will contribute to security investigations, conducting analysis and forensics across a range of data sources to determine the timeline and impact of security events.
• You will build automations, including leveraging AI and agentic platforms, to deliver autonomous capabilities, expedite your work and scale the impact of the team.
• You will communicate technical decisions through design docs and tech talks, and mentor junior security responders via security guidance, design reviews and code reviews.

What we look for:

• Bachelor's Degree AND 4+ years experience in Incident Response work OR Master's Degree AND 2+ years experience.
• Strong cloud security background in at least 1 of AWS, GCP or Azure, and working knowledge of the others.
• Knowledge of AI/LLM and agentic capabilities, including effective prompting and use of MCP, agents and agent skills. Prefer experience with building and operating agentic systems in a security setting.
• Broad security subject matter expertise.
• Expertise in few core IR skills (DFIR , Reverse Engineering, Traditional Network Security, Storage and access security, Sandboxing, Compute security, etc.).
• Experience with Enterprise Security and SaaS applications.
• Working knowledge of a SIEM and SOAR.
• Experience building Incident Response Tooling and scripting language skills.

Title: Data Platform Engineer   

Level: Mid-Level Engineer, Data & Technology Solutions  

Location: Copenhagen

Reporting to: Lead Engineer 

About Open Intelligence

We are the Activation arm of WPP Open Intelligence. Our team builds the foundational data infrastructure and high-performance edge services that power WPP’s position in the market. With approximately one-third of all global media spend flowing through WPP, our platform operates at the core of this massive network—deeply integrated and adopted by the largest supply-side partners in the AdTech industry. 
Operating at our scale presents unique engineering challenges. Our edge services currently handle over 60,000 classification requests per second, while our contextual classification pipelines process 10,000 requests per second. With operations spanning the US, UK, and ongoing expansion into EMEA and APAC, our infrastructure continuously interacts with up to 98% of the population in our active markets. We are an engineering-led team focused on building robust, scalable, and highly reliable systems. 

WHO WE ARE LOOKING FOR 

We are seeking a skilled Data Platform Engineer to design, build, evolve, and optimize our cloud infrastructure, CI/CD pipelines, and deployment processes for our global data and AI platform. You will collaborate closely with data scientists, data engineers, QA, and IT teams to streamline development workflows, improve system reliability, and ensure secure, scalable infrastructure. This is a hands-on technical role for someone who is comfortable delivering reliable data solutions and is eager to leverage new development and testing technologies. You will collaborate closely with team members and product stakeholders to ensure our data infrastructure meets evolving business needs.  

WHAT YOU WILL DO: 

• Design scalable cloud-native systems on platforms such as Amazon Web Services or Google Cloud Platform that support Spark data analytics and AI workloads 

• Implement Infrastructure as Code using HashiCorp Terraform 

• Build secure multi-account / cross-cloud environments 

• Optimize cost efficiency for high-scale data workloads and low latency microservices 

• Enable visibility on performance and cost metrics per environment and workload 

• Deploy and manage clusters with Kubernetes with containerized data workloads and microservices 

• Implement blue/green and canary deployment strategies 

• Build robust automations using tools such as GitHub Actions, GitLab CI/CD, or Argo Workflows 

• Automate testing, security scans, and compliance checks 

• Assist other team members in architectural choice of cloud services 

• Enforce a small, coherent and flexible configuration surface to reduce deployment time and improve release confidence, in collaboration with other team members 

• Champion DRY and DevOps principles across the team through code reviews, documentation, and shared tooling 

WHAT YOU WILL NEED 

5+ years of experience in Data Platform Engineering, Cloud Engineering, DataOps or Site Reliability Engineering (SRE) within enterprise-scale environments 

Strong hands-on experience with cloud platforms such as Amazon Web Services or Google Cloud Platform 

Proven expertise in Infrastructure as Code using HashiCorp (or equivalent IaC tooling) 

Deep experience containerizing and orchestrating applications using Docker and Kubernetes 

• Strong experience building and maintaining CI/CD pipelines 

• Solid scripting skills (Bash, Python, or similar) with a strong automation-first mindset 

• Golang knowledge is a plus 

• Experience implementing observability and monitoring solutions such as Datadog, Prometheus, or the Elastic stack 

• Strong understanding of networking concepts (VPCs, load balancing, DNS, IAM, security groups) 

• Experience working with data-intensive, AI/ML, or marketing technology platforms at scale 

• Knowledge of security principles, security best practices, and compliance standards (e.g., GDPR) 

• Experience supporting multi-region, globally distributed systems 

• Strong collaboration and communication skills, with the ability to partner across engineering, product, and data teams 
• A proactive, ownership-driven mindset with a focus on reliability, scalability, and continuous improvement 

If you are ready to be at the forefront of the AdTech industry, shaping its future, and driving success for both our clients, we encourage you to apply and join our team. 

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. 

About us

We believe data, creativity and technology work best when they work together. Our mission is to shape the next era of media — one that’s smarter, more connected, and powered by insight. We’re part of a global network that values openness, collaboration and bold ideas. Here, you’ll have the chance to make an impact and grow your career and skill set with some of the best minds in the industry.

The Role

We’re looking for a Team Leader for a team of Data Engineers to accelerate our Open Intelligence data initiative, taking our data capabilities to the next level. You’ll play a central role in designing, building and maintaining the data connectors that feed data to Open Intelligence. It is a role that requires good communication skills and understanding of brand, adtech and marketing data and the benefits of well-engineered data pipelines. You will create systems that keep our global media ecosystem running ensuring that data is reliable, scalable, and reflects the needs of the business.

This is a hands-on technical role for someone who’s already comfortable delivering reliable data solutions, but who is also interested in leveraging new development- and testing technologies. It is also a leading role, where you will be expected to mentor the more junior members of the team, and have an overview of the activities on the team. Finally, it is a role that requires an individual who can communicate effortlessly with both stakeholders in the Product organization, and engineers on other teams.

The role is in our lovely Copenhagen offices at Nørrebro, where you will join a larger team of roughly 50 people working on Open Intelligence.

What You’ll Do

• Build, manage and maintain data extraction pipelines with the help of AI coding assistants.
• Pre-aggregate data in clean rooms using SQL-dialects when client or partner concerns demands it.
• Fetch data through REST APIs using Python or Node.js when needed.
• Communicate with our Product organization about addition of new data sources or changes to existing ones, and manifest those conversations as maintainable code.
• Proactively identify and address technical debt and inefficiencies within our data platform.
• Guide our regional teams in following your best practices for adding their local datasets to Open Intelligence, and act as a global knowledge center for data onboarding.
• Collaborate closely with analysts and data scientists who leverage Open Intelligence, to make sure that data connectors work as expected.
• Design and build strong data governance and quality frameworks to make sure connectors produced are accurate and work consistently throughout their lifetime.
• Stay curious, explore new tools techniques and technologies that can help us move faster and smarter.

What You’ll Bring

• Excellent communication skills — you can translate technical concepts into language anyone can understand.
• 4+ years of experience in data engineering.
• Experience with adtech- and/or martech data and terminology.
• Interest in leveraging AI coding assistants and prompt engineering to enhance productivity.
• Deep experience with data wrangling in a language such as SQL, Python or Scala.
• Interest in applying or learning the Scala language for data processing.
• Substantial experience with strongly typed computer languages and compilers. You understand why it is essential to find data processing errors as close to the point in time they are made as possible.
• Proficiency in one or more modern data ecosystems — e.g. Databricks, Snowflake, BigQuery, InfoSum or Redshift.
• Experience working with CI/CD, version control and testing best practices.
• Experience with cloud-based platforms like GCP, AWS, or Azure, and deployment abstractions like Docker, Kubernetes or Terraform.
• A passion for data, technology and computer languages.
• A proactive approach to solving problems and improving systems.
• Team lead experience or project management experience is a plus. So is experience writing Scala code.

What We Offer

We believe great work starts with great people. At WPP Media, you’ll find:

• A supportive, inclusive culture built on trust, ambition and collaboration.
• Access to world class learning and development opportunities across the WPP network.
• Competitive salary, benefits and a focus on wellbeing.
• The chance to make a real impact shaping how data powers the next generation of media.

Data Engineer

Location: Copenhagen

Reporting to: Lead Engineer

About Open Intelligence:

We are the Activation arm of WPP Open Intelligence. Our team builds the foundational data infrastructure and high-performance edge services that power WPP’s position in the market. With approximately one-third of all global media spend flowing through WPP, our platform operates at the core of this massive network—deeply integrated and adopted by the largest supply-side partners in the AdTech industry.
Operating at our scale presents unique engineering challenges. Our edge services currently handle over 60,000 classification requests per second, while our contextual classification pipelines process 10,000 requests per second. With operations spanning the US, UK, and ongoing expansion into EMEA and APAC, our infrastructure continuously interacts with up to 98% of the population in our active markets. We are an engineering-led team focused on building robust, scalable, and highly reliable systems.

WHO WE ARE LOOKING FOR

We are looking for a Data Engineer who is passionate about solving complex data processing challenges in a high-scale environment. You prioritize strong software engineering fundamentals, algorithm design, and scalable data architecture over strict adherence to any specific framework.
You are comfortable designing, building, and maintaining systems that manage immense volumes of data. While your foundation in data processing is most important, you are likely highly proficient in languages like Python, Go, or Scala, and familiar with large-scale distributed processing engines (like Spark) and containerized deployment (like Kubernetes). You value modern operational practices—from infrastructure as code (Terraform) and robust CI/CD, to leveraging AI coding assistants to enhance your daily productivity.
Beyond your technical capabilities, you are a strong communicator who can distill complex technical concepts for various stakeholders. You take ownership of the reliability of your pipelines and are motivated by the challenge of operating and evolving a global scale infrastructure.

WHY ARE WE HIRING

We are at a critical inflection point in our growth and need to scale our engineering team to tackle an expanding set of complex challenges. As the digital ecosystem evolves, we are actively developing and releasing a new catalog of privacy-preserving data products. These solutions are designed to scale advanced targeting capabilities while remaining uncompromising on our promise to protect user privacy.

To support this product evolution, our infrastructure is undergoing massive global expansion. By the end of this year, we will be fully operational across the rest of the EMEA and APAC regions. Concurrently, we are deepening our integrations to support even more of the largest supply-side partners in the AdTech industry. We are hiring because we need strong engineering talent to help us architect for this next order of magnitude in scale—ensuring our systems remain resilient, performant, and compliant as our global footprint and feature set rapidly expand.

WHAT YOU WILL DO:

• Discuss & propose technical solutions, develop & review code following best practices and patterns.
• Collaborate with both our Product organization and analysts and data scientists in Open Intelligence to add new features or changes to existing ones and translate those requirements into reliable, production-level components.
• Contribute to designing and building strong data governance and quality frameworks to ensure data production is accurate and work consistently throughout its lifetime.
• Contribute to identifying and addressing technical debt and inefficiencies within our data platform.
• Stay curious and proactive, explore new tools, techniques, and technologies that can help us move faster and smarter.
• Be happy to share knowledge in dedicated sessions and stand-ups.

WHAT YOU WILL NEED

• Strong communication skills, you can effectively explain technical concepts to various audiences.
• 2+ years of experience in data engineering.
• Solid experience with data wrangling in a language such as Python, Go, or Scala.
• Proficiency in large scale processing engines and related ecosystems (Spark)
• Experience working with CI/CD, version control, and testing best practices.
• Experience with cloud-based platforms like GCP, AWS, or Azure.
• Experience working with infrastructure as code tools like Terraform.
• Experience with containerization management tools like Kubernetes.
• A passion for data, technology, and computer languages.
• Interest in leveraging AI coding assistants and prompt engineering to enhance productivity.

NICE TO HAVE

• Familiarity with AdTech- and/or MarTech data and terminology.
• Experience with monorepo codebase.
• Experience with data privacy engineering technologies and best practices in handling sensitive data.

If you are ready to be at the forefront of the AdTech industry, shaping its future, and driving success for both our clients, we encourage you to apply and join our team.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong

and has the same opportunities to progress in their careers.

The Role

We’re looking for a Senior Graph Engineer to accelerate our Open Intelligence initiative, specifically in the realm of graph data and knowledge representation, taking our data capabilities to the next level. You’ll play a central role in designing, building, and maintaining the graph models and data pipelines that power Open Intelligence.

This role is for someone who can not only deliver robust technical solutions but also possesses a rare ability to understand our complex marketing, adtech, and brand domains, and then translate this understanding into effective graph structures that deliver real business value. You will create systems that keep our global media ecosystem running, ensuring that interconnected data is reliable, scalable, and truly reflects the needs of the business.

This is a hands-on technical role for someone who’s already comfortable delivering reliable data solutions, with a particular passion for graph databases and their practical applications. It is also a mentoring role, which for the right person can include leading the more junior members of the team, fostering a graph-thinking mindset. Finally, it requires an individual who can communicate effortlessly with both stakeholders in the Product organization, explaining complex graph concepts, and engineers on other teams that use or supply the data.

The role is in our lovely Copenhagen offices at Nørrebro, where you will join a larger team of roughly 50 people working on Open Intelligence.

What You’ll Do

• Design and implement sophisticated graph schemas and data models that accurately represent the intricate relationships within our marketing and adtech ecosystem.
• Design and maintain temporal and event-driven graph models that capture how relationships evolve over time.
• Build exploratory data ingestion pipelines in the tool of your choice, and help build, manage, and maintain production grade data ingestion pipelines in Scala/Spark.
• Contribute to scalable (and possibly real-time) graph ingestion patterns, including incremental updates and streaming data integration.
• Communicate with our Product organization about the addition of new kinds of data or new sources of data to the graphs. Help translating business needs into evolutions of our graph models and manifesting those conversations as maintainable code.
• Communicate bugs and inefficiencies related to graph data processing and storage to our technical platform team.
• Help guide our regional teams in following your best practices for adding their local datasets to Open Intelligence, particularly in terms of graph data onboarding and consistency, and act as a global knowledge center.
• Collaborate closely with analysts and data scientists who leverage Open Intelligence, ensuring that graph data and connectors work as expected and provide the relational insights they need.
• Design and build strong graph data governance and quality frameworks to make sure graph data is accurate and consistent across markets and time.
• Stay curious, explore new tools, techniques, and technologies in the graph database space that can help us move faster and smarter.

What You’ll Bring

• Exceptional communication skills — you can translate complex technical graph concepts and their business value into language anyone can understand.
• 6+ years of experience in data engineering with a strong focus on graph databases and graph-based solutions.
• Solid experience with graphs (not just theoretical), including advanced graph modeling, querying (e.g., Cypher, GQL, Gremlin), and analysis techniques. We currently use Graphwise GraphDB and Neo4J, and expertise in either would be a plus.
• Experience optimizing graph performance at scale (i.e., query tuning, indexing strategies), and working with large and highly interconnected datasets.
• Proven ability to think in terms of entire systems and their interdependencies, applying a holistic view to data architecture and understanding when and how graph databases should be used to create real value.
• A deep understanding of adtech- and/or martech data and terminology, with a demonstrated ability to effectively model this complex domain as a graph.
• Experience with entity resolution and identity graph design (e.g., deduplication, canonicalization), and ability to model real-world entities from different data sources.
• Deep experience with data wrangling and transformation in a language such as SQL, Python, or Scala, specifically for preparing data for graph ingestion or querying graph results.
• Familiarity with modern data ecosystems — e.g. Databricks, Snowflake, BigQuery, Redshift – and cloud-based platforms like GCP or AWS, and how graph databases integrate within them.
• Experience working with CI/CD, version control, and testing best practices, particularly for graph data pipelines and models.
• A passion for data, technology, and the power of connected information.
• A proactive approach to solving problems and improving systems.
• Familiarity with RDF, triplestores, or semantic web technologies is a plus.
• Team lead experience or project management experience is a plus.

What We Offer

We believe great work starts with great people. At WPP Media, you’ll find:

• A supportive, inclusive culture built on trust, ambition and collaboration.
• Access to world class learning and development opportunities across the WPP network.
• Competitive salary, benefits and a focus on wellbeing.
• The chance to make a real impact shaping how data powers the next generation of media.

About Us

We believe data, creativity and technology work best when they work together. Our mission is to shape the next era of media — one that’s smarter, more connected, and powered by insight. We’re part of a global network that values openness, collaboration and bold ideas. Here, you’ll have the chance to make an impact and grow your career and skill set with some of the best minds in the industry.

The Role

We’re looking for a Data Engineer to contribute to our Open Intelligence data initiative, helping to build and maintain our core data capabilities. You’ll play a key role in building and maintaining the data connectors that feed data to Open Intelligence. This role requires good communication skills and an understanding of brand, adtech, and marketing data, as well as the benefits of well-engineered data pipelines. You will contribute to creating systems that keep our global media ecosystem running, ensuring that data is reliable, scalable, and reflects the needs of the business.

This is a hands-on technical role for someone who is comfortable delivering reliable data solutions and is eager to leverage new development and testing technologies. You will collaborate closely with team members and product stakeholders to ensure our data infrastructure meets evolving business needs.

The role is in our lovely Copenhagen offices at Nørrebro, where you will join a larger team of roughly 50 people working on Open Intelligence.

What You’ll Do

• Build, manage and maintain data extraction pipelines with the help of AI coding assistants.
• Pre-aggregate data in clean rooms using SQL-dialects when client or partner concerns demand it.
• Fetch data through REST APIs using Python or Node.js when needed.
• Collaborate with our Product organization regarding the addition of new data sources or changes to existing ones, and translate those requirements into maintainable code.
• Contribute to identifying and addressing technical debt and inefficiencies within our data platform.
• Support our regional teams in following best practices for adding their local datasets to Open Intelligence.
• Collaborate closely with analysts and data scientists who leverage Open Intelligence, to make sure that data connectors work as expected.
• Contribute to designing and building strong data governance and quality frameworks to ensure connectors produced are accurate and work consistently throughout their lifetime.
• Stay curious, explore new tools, techniques, and technologies that can help us move faster and smarter.

What You’ll Bring

• Strong communication skills — you can effectively explain technical concepts to various audiences.
• 2-4 years of experience in data engineering.
• Familiarity with adtech- and/or martech data and terminology.
• Interest in leveraging AI coding assistants and prompt engineering to enhance productivity.
• Solid experience with data wrangling in a language such as SQL, Python, or Scala.
• Interest in applying or learning the Scala language for data processing.
• Understanding of strongly typed computer languages and compilers, and an appreciation for finding data processing errors early.
• Proficiency in one or more modern data ecosystems — e.g., Databricks, Snowflake, BigQuery, InfoSum, or Redshift.
• Experience working with CI/CD, version control, and testing best practices.
• Experience with cloud-based platforms like GCP, AWS, or Azure, and deployment abstractions like Docker or Terraform.
• A passion for data, technology, and computer languages.
• A proactive approach to solving problems and improving systems.

What We Offer

We believe great work starts with great people. At WPP Media, you’ll find:

• A supportive, inclusive culture built on trust, ambition and collaboration.
• Access to world class learning and development opportunities across the WPP network.
• Competitive salary, benefits and a focus on wellbeing.
• The chance to make a real impact shaping how data powers the next generation of media.

Are you a Senior Data Engineer with a passion to build, support & maintain digital marketing solutions that offers real value? Are you interested in working with the largest global brands and complex challenges in the media analytics space? Then you might be the Senior Data Engineer we’re looking for!

What will your day look like?

As our new Senior Data Engineer, you will become part of our growing Data Insights and Science team. Here, you will employ new technologies across multiple cloud platforms to help successful brands reach their next level in 1:1 retargeting, communication, and CRM. More specifically, your tasks include:

• Identify, collect, and integrate data from various sources by building high-quality data pipelines and data models for analytics and business intelligence (BI) purposes.
• Develop and optimize code to enable pipelines at minimum cost and ease of maintenance.
• Build monitoring procedures & tools to ensure solid ETL flows and data quality.
• Design processes and tools to correct ETL incidents.
• Collaborate with CRM developers, data scientists, data analysts, and product owners to ensure the supplied data supports the business initiatives.
• Consult our data analytics teams to ensure best practices on the technical use of data are followed.
• Design data architectures and collaborate in data migrations in cloud environments. 

Who are you going to work with?

You will join a team of highly skilled Architects, Data Scientists, and Consultants who are passionate about unlocking insights from data through analytics. You will also get to work closely with experts from other Technology, Creative, and Client Teams.

What do you bring to the table?

As a person, you have a team player mindset and an open-minded attitude. You can communicate ideas and technical topics honestly and clearly – also to non-experts – while respecting the views of others on the team. You are eager to understand and find solutions, allowing you to quickly adapt to changing situations and come up with new ideas.

At the same time, you solve problems in an analytical and pragmatic manner.

Moreover, you have:

• Experience in data engineering, big data, business intelligence, or data science. 
• Experience in Spark, Python, Scala, or similar.
• Excellent SQL skills enabling large-scale data transformation and analysis.
• A comprehensive understanding of cloud data warehousing, data pipelines and data transformation (extract, transform, and load) processes and supporting technologies such as Google Dataflow, Looker, DBT, EMR, CI/CD Pipelines, Airflow DAGs, and other analytics tools.
• Experience with cloud-based data infrastructures (Ideally GCP, but AWS or Azure would also suffice)
• Programming experience in Javascript, Python, or similar.
• Expertise in managing databases, including performance tuning, backup, and recovery.
• Solid knowledge of data quality management best practices, including data profiling, data cleansing, and data validation
• Knowledge of strengths and limitations of visualization tools (e.g. PowerBI, Tableau, Looker, etc.) in terms of data modeling in the visualization tools.
• Understanding of versioning control tools like GitHub to changes related to dbt models and transformations, ensuring that changes are tracked, documented, and reviewed by the appropriate stakeholders.
• Knowledge of applying data governance principles, policies, and practices that ensure data accuracy, consistency, and security
• Knowledge of Kubernetes would be an advantage

Personal skills:

• Strong desire to contribute towards keeping data tidy and well-organized
• Ability to think critically, identify issues autonomously, and propose corrective actions.
• Build great relationships with your team and stakeholders

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. 

#LI-EMEA

SLSQ327R219

Want to help solve the world's toughest problems with data and AI? This is what we do every day at Databricks.

Databricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today's ultra-competitive landscape.

We are looking for a creative, delivery-oriented Enterprise Account Executive to join the team in Denmark to maximise the phenomenal market opportunity that exists for Databricks. As an Account Executive, you know how to sell innovation and value to existing customers, identify new use cases and grow consumption and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to customers and partners. 

You will report to the Sales Director for Denmark and Norway. 

The impact you will have: 

• You will co-develop a business plan, with your team and ecosystem partners, that accelerates customer success to exceed quarterly/annual consumption and booking goals
• You will lead your team, customers and partners to identify impactful data and AI use cases whilst proving out their value on the Databricks Data Intelligence platform
• You will implement the data and AI transformation goals of your customer through a combination of strategic partnerships, well scoped professional services, training and targeted Executive engagement
• You will develop an understanding of technical product details and roadmap to build trust with executives and technical champions

What we look for:

• Exstensive experience selling complex solutions to Enterprise Customers
• Experience working in Data, Cloud industries with some technical sales experience
• Proof of exceeding sales quotas in high-growth Enterprise software companies 
• Experience driving consumption and commit-based engagement models and strategies working with professional services and training teams
• Experience co-selling and scaling your business with Cloud Vendors (AWS, Azure and Google Cloud teams) and Global Solution Integrators (GSI)
• Experience of building effective champions, collaborative teams and partnerships to support execution of your account / territory plan
• Understanding of how to identify all key uses cases and buying centres in an opportunity to increase the impact of Databricks in an organisation
• Experience of following robust sales methodologies and process (e.g. account planning, MEDDPICC, Value Selling and accurate forecasting)
• Bachelor's Degree or relevant work experience
• Fluency in English is required, fluency in Danish is preferred

The Opportunity

Postman is the world’s leading API platform, helping organizations across every industry collaboratively design, build, test, document, share, and manage their APIs.

Our rocket continues to reach new heights, which is why we are looking for an experienced Solutions Engineer to support our rapidly growing enterprise customer base in the Nordics region.

As a Solutions Engineer at Postman, you will partner closely with the Sales, Product, and Customer Success teams to deliver technical expertise throughout the sales cycle. You will be a trusted advisor to our customers, helping them understand how Postman’s platform can streamline their API lifecycle, improve collaboration, and drive innovation. You will play a critical role in shaping customers’ API strategies, influencing product adoption, and ensuring technical success.

If you are passionate about APIs, software development, and solving complex customer challenges, we would love to have you on the team!

What You’ll Do

Account Strategy

• Lead technical discovery sessions to uncover customer challenges, understand pain points, and determine where Postman can provide the most value.
• Build and nurture strong relationships with technical leaders and decision-makers. Provide guidance on best practices for leveraging Postman effectively throughout the entire API lifecycle.
• Collaborate with customers to set clear success criteria, design and deliver tailored proofs of concept, and bring those goals to life through engaging demos, workshops, and hands-on sessions that highlight Postman’s strengths.
• Work closely with Sales, Product, and Customer Success teams to ensure alignment across plans and execution, driving outcomes that support customer goals.

Customer and Industry Insights

• Maintain a deep understanding of Postman’s capabilities, the API ecosystem, and industry trends (e.g., AI in API design, DevOps, and API security).
• Collect and share customer insights with Product and Engineering teams to influence roadmap decisions and enhance overall customer experience.

Marketing and Evangelism

• Represent Postman at industry events, conferences, and webinars. Create and share technical content (blogs, demos, tutorials) that highlight real-world use cases and best practices, showcasing Postman’s impact in the world of APIs and beyond.

About You

• 5+ years of experience in technical consulting, pre-sales engineering, or related roles.
• 5+ years of experience in software engineering.
• Expertise in one or more of the following:
• REST and GraphQL APIs
• API lifecycle management tools (e.g., Postman, Swagger/OpenAPI, Kong, Apigee)
• CI/CD and automation
• Cloud platforms (AWS, Azure, GCP)
• Modern software development practices
• Excellent communication skills in English, with comfort in customer-facing presentations. Communication skills in Danish or Swedish are a plus.
• Ability to travel up to 25% across the EMEA region, with occasional global travel for company events.

FEQ327R156

Mission 

As a Sr Specialist Solutions Architect (SSA) - ML & AI Engineer, you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying cutting edge technologies in GenAI, MLOps, and ML more broadly, expanding your impact through mentorship, and establishing yourself as an AI thought leader.

The impact you will have:

• Architect production level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc.  
• Serve as trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems
• Build, scale, and optimize customer AI workloads and apply best in class MLOps to productionize these workloads across a variety of domains
• Provide advanced technical support to Solution Architects during the technical sale ranging from feature engineering, training, tracking, serving to model monitoring all within a single platform, as well as participating in the larger ML SME community in Databricks
• Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities and influence the product roadmap, helping with the adoption of Databricks’ AI offerings

What we look for:

• 7+ years of hands-on industry ML experience in at least one of the following:
• ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring.
• AI Engineer: Experience with the latest techniques in LLMs & agentic systems including vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI
• Experience with data engineering, or a good understanding of the concept of data engineering
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
• Passion for collaboration, life-long learning, and driving business value through ML & AI
• [Preferred] 5+ years customer-facing experience in a pre-sales or post-sales role
• Can meet expectations for technical training and role-specific outcomes within 3 months of hire
• This role can be remote, but we prefer that you be located in the job listing area and can travel up to 30% when needed

RDQ127R264

This role is open to remote candidates within the Europe, with a preference for those based in London, Netherlands, Germarny or Denmark.

Databricks is seeking an exceptional and strategic  Sr. Staff Security Engineer, Incident Response to join our Incident Response team. This pivotal role will provide decisions that have a direct impact on the long-term success of Databricks' security posture, creating solutions that enable potential future opportunities without a known path. You will play a key role in developing multi-year technology strategy for complete and critical areas of the business, encompassing multiple systems and teams, consistently delivering large-scale projects that meet company goals.

The Incident Response team's mission is to rapidly, efficiently, and standardly respond to security threats, incidents, and investigations to protect our customers, employees, and enterprise data. We leverage Databricks' own platform for near-real-time log analytics, alerting, and forensics, embracing a "Security for Databricks on Databricks" philosophy. As an Sr. Staff Security Engineer, you will tackle the most technical SIRTs, drive complex, open-ended problems with no obvious path to success, act as a multiplier by enabling systems, authoring tools, or introducing policies that elevate the entire organization's productivity.

The impact you will have:

• Strategic Impact & Technical Vision: Drive or influence the organization’s direction and roadmap, leading internal conversations about major technology areas and inspiring adoption. Provide decisions with direct, long-term impact on Databricks' success.
• Incident Leadership & Crisis Management: Lead complex investigations and impact analysis, performing crisis management using the Incident Management System (IMS). Engage with various stakeholders and communicate findings to executive leadership, ensuring successful navigation of major security incidents with minimal business impact.
• Advanced Threat Management: Exhibit expert knowledge in all cloud vendors used by Databricks (AWS, Azure, GCP), deeply understanding the entire architecture of major business components and articulating their security and risk limits. Drive the establishment of a cutting-edge threat detection and response program, significantly reducing Mean Time to Detect (MTTD) and Mean Time to Respond (MTTR) to security incidents.
• Technical Innovation & Automation: Architect scalable and organized frameworks for security automation and orchestration, including pre-investigation analysis and triage of alerts. Understand trends and directions of the security industry within your domain and architect large-scale designs consistent with organizational and company goals.
• Problem Solving: Demonstrate the ability to fix difficult and company-impactful problems wherever they lie, even if outside your comfort zone. Possess a full understanding of what malicious activity looks like in each cloud layer (network, storage, compute), understanding existing logs and correlating from multiple sources during an investigation.
• Cross-Functional Collaboration & Mentorship: Serve as a role model and mentor to every technical member of the team. Identify areas where Databricks can share effectively with the outside world, guiding content creation and communication via presentations and blogs. Work across departments, integrating security practices into various aspects of the organization and product development lifecycle.

What we look for:

• Experience: Typically 12+ years of experience in security, with a strong focus on incident response, detection, and/or threat intelligence, or an advanced degree with 8+ years of experience. This includes deep expertise in Incident Management and Incident Response tool development.
• Cloud Security Expertise: Demonstrates knowledge of Azure and AWS cloud concepts, showing expertise in analyzing logs, correlating available log sources to conclude an attack scenario, and identifying logging gaps to suggest best configurations for IR needs. You can function as an architect of cloud deployment and map cloud environment fundamentals to other major providers.
• Digital Forensics: Highly skilled in multiple areas of digital forensics (e.g., Network, Application/Log Analysis, Host/Disk, Memory Forensics/Malware Analysis, Cloud Forensics, Endpoint Forensics), able to speak confidently on advanced concepts like virtualized networking, advanced network anomalies, and container forensics.
• Enterprise Security: Has a detailed understanding of enterprise security incidents and in-depth knowledge of malware on endpoints. Possesses expert understanding of MacOS security posture and architecture.
• Technical Depth: Proficient with SIEM and SOAR platforms, EDR solutions, and forensic analysis tools. Skilled in leveraging AI and automation technologies to enhance security operations and threat detection capabilities.
• Leadership & Communication: Exceptional ability to engage in difficult conversations, handle them appropriately, and exhibit empathy and emotional intelligence. Proven capability to build, mentor, and lead high-performing cybersecurity teams, fostering a culture of excellence and continuous improvement. Strong communication of technical decisions through design docs and tech talks.
• Bias for Action & Collaboration: A history of proactively identifying and solving issues that impact the team and company. Demonstrates a strong desire to help peers and collaborate effectively.
• Customer/Stakeholder Obsessed: Able to push back or say no to unreasonable stakeholder requests in a professional and constructive manner.

P-1343

As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale.

The impact you'll have:

Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and machine learning infrastructure. For example, you might work on challenges such as:

• Supporting Databricks' growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers.
• Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services.
• Develop tools and processes that drive engineering efficiency at Databricks. We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks. Our current focus is on optimizing the Rust development experience across the organization.

What we look for:

• 5+ years of professional software development experience.
• Bachelor’s degree or higher in Computer Science, a related field, or equivalent experience. 
• Proficiency in one or more backend languages such as Java, Scala, or Go.
• Hands-on experience in developing and operating large-scale, critical distributed backend systems.
• Demonstrated leadership throughout all project phases, from inception and design to implementation and operations.
• Self-driven and passionate with a strong focus on delivering impact through team collaboration.
• Strong communication skills, both written and verbal, with the ability to produce clear technical documentation that drives alignment and decision-making.
• Experience with infrastructure systems, security, and sensitive data, as well as familiarity with Kubernetes or cloud platforms like AWS, Azure, or GCP.

P-1344

As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale.

The impact you'll have:

Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and machine learning infrastructure. For example, you might work on challenges such as:

• Supporting Databricks' growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers.
• Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services.
• Develop tools and processes that drive engineering efficiency at Databricks. We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks. Our current focus is on optimizing the Rust development experience across the organization.

What we look for:

• 8+ years of professional software development experience.
• Bachelor’s degree or higher in Computer Science, a related field, or equivalent experience.
• Proficiency in one or more backend languages such as Java, Scala, or Go.
• Hands-on experience in developing and operating large-scale, critical distributed backend systems.
• Demonstrated leadership throughout all project phases, from inception and design to implementation and operations, with a strong ability to drive architectural decisions and guide teams through complex challenges.
• Experience mentoring engineers, influencing best practices, and fostering a collaborative engineering environment.
• Self-driven and passionate with a strong focus on delivering impact through team collaboration.
• Strong written and verbal communication skills to drive alignment across teams, and contribute to both technical documentation and strategic decisions.
• Experience with infrastructure systems, security, and sensitive data, as well as familiarity with Kubernetes or cloud platforms like AWS, Azure, or GCP.