Data Engineering Lead - Global

Join Intermate x SAMY – Leading the Future of Social EngagementBecome a part of SAMY, a global leader in transforming brand communication. From humble beginnings with just three employees, we have expanded to nearly 1,000 team members across over 20 international locations, engaging in more than 55 markets. Our mission is to blend creativity, technology, and culture to elevate brands in the social landscape for esteemed clients such as The North Face, Microsoft, Diageo, and Samsung.Intermate, our DACH power center with over 250 dedicated professionals in Berlin, Hamburg, and Cologne, epitomizes the social-first strategies that SAMY champions worldwide. We excel in crafting original content, collaborating closely with creators, and executing data-driven campaigns supported by our proprietary technology. Please note: Our application process incorporates an AI-driven assistant to facilitate the initial interview stage. Further details will be provided as your application progresses.Key ResponsibilitiesAs the Data Engineering Lead, you serve as the technical backbone of our global data infrastructure. You will build and manage the foundational systems that underpin our entire data strategy, encompassing everything from data pipelines to warehouses. You will lead a dynamic team of data engineers and collaborate closely with the Global Analytics Lead and the Data Product Manager.Design, develop, and maintain our global data warehouse and ETL/ELT pipelines, establishing benchmarks for agency-wide data capabilities.Guide and mentor your team of data engineers in best practices surrounding code quality, documentation, and system reliability, fostering a culture of continuous growth.Act as the technical partner to the Global Analytics Lead, converting analytical visions into scalable, automated production models.Collaborate with the Data Product Manager to ensure our internal data products are driven by efficient, high-performance, and cost-effective data streams.

As a Lead Data Platform Engineer at YAZIO, you will spearhead the development and optimization of our data platform, ensuring that it meets the growing needs of our users. You will work closely with cross-functional teams to create efficient data pipelines, improve data architecture, and lead initiatives that enhance data accessibility and usability.

scalablegmbh is seeking a Technical Team Lead for the Data Platform team based in Berlin. This position centers on guiding a skilled group of data professionals and shaping the company’s data capabilities. Role overview The Technical Team Lead will oversee the development and execution of data strategies. The goal is to enable the organization to make informed, data-driven decisions. This includes responsibility for the design and implementation of scalable and efficient data architecture, as well as maintaining high standards for data quality and accessibility. What you will do Lead and mentor a team focused on data platform initiatives Supervise the creation and improvement of data solutions and architecture Ensure data quality and accessibility across projects Work closely with cross-functional teams to support business decisions with data insights Requirements Experience leading data-focused teams Strong background in building and maintaining data architecture Ability to collaborate with teams across different functions

Tieto Tech Consulting, part of TietoEVRY, is hiring a Lead Data Engineer in Berlin. This role centers on guiding the development of data infrastructure and analytics, ensuring data systems meet both analytical and operational goals across several projects. Role overview The Lead Data Engineer will take charge of designing and building reliable data pipelines and architectures. Collaboration is key, as the position works closely with data scientists, analysts, and other stakeholders to deliver accurate, high-quality data. Mentoring team members and supporting their technical growth is also a core part of this role. What you will do Design and implement robust data pipelines and system architectures Collaborate with cross-functional teams to deliver data solutions Mentor and support the technical development of team members Promote and establish best practices in data engineering Requirements Proven experience leading data engineering projects Strong background in building and maintaining data solutions Ability to work well with colleagues from different disciplines Interest in developing others and setting technical standards This position is based in Berlin with TietoEVRY.

Join moia as a Tech Lead in our Data and Analytics Engineering team, where your leadership will drive innovative fleet analytics solutions. You will lead a talented team, architecting robust systems that harness data to enhance fleet performance and efficiency.Your role will involve collaborating with cross-functional teams to define and execute data strategies, ensuring that our analytics capabilities provide valuable insights. If you are passionate about leveraging technology to optimize fleet operations and are excited about shaping the future of mobility, we want to hear from you!

Veeva Systems Inc. supports life sciences companies as they bring therapies to patients. With more than $3 billion in revenue last fiscal year, Veeva continues to grow as a leader in industry cloud solutions for this sector. Veeva operates under four core values: Do the Right Thing, Customer Success, Employee Success, and Speed. Since 2021, Veeva has also been a public benefit corporation (PBC), balancing the interests of customers, employees, society, and investors. As a Work Anywhere company, Veeva offers flexibility to work from home or the office. The team is committed to making a positive impact in the life sciences industry, supporting customers, employees, and communities. Learn more about the mission here. Role Overview The OpenData Europe team aims to become the global leader in reference data for life sciences. Major pharmaceutical and biotech companies depend on Veeva’s data products as a foundation for their commercial and medical activities. The work directly supports faster delivery of treatments to patients. This Data Lead role is fully remote and open to candidates based in Germany (Berlin), the UK, or Spain. Some travel (up to 10%) is expected. What You Will Do Develop and manage data pipelines for OpenData Europe products Shape product strategy and influence the roadmap Spot emerging market opportunities for data products Lead cross-functional execution from concept through delivery Who We’re Looking For Experienced data professional with a strong technical background in data analytics or engineering Interest in moving beyond routine data requests to influence product direction Comfortable working with autonomy and ownership in a remote setting Based in Germany (Berlin), UK, or Spain and able to travel up to 10%

Transform the Travel ExperienceEmbark on an exciting journey with GetYourGuide, where we strive to connect travelers with unforgettable experiences worldwide. With millions relying on us for unique and trustworthy activities, we are dedicated to making every journey remarkable - including yours.Are you ready to unleash your potential within a community of fellow adventurers? Discover your next opportunity at our headquarters in Berlin or in one of our local offices across the globe, from New York to Bangkok. Visit getyourguide.careers to get started.Team MissionAs part of the Traveler Data Engineering team within the strategic Flywheel Data Engineering group, our mission is to establish robust data foundations and self-service capabilities for the traveler side of our marketplace. We ingest, integrate, and structure crucial internal and external datasets into reliable tables, metrics, and data products that enhance the customer experience throughout their journey. Collaboration with Product and Data teams is key to enabling faster and more confident decision-making.Your ResponsibilitiesIndependently Build End-to-End Data Solutions: Create reliable, high-quality datasets and pipelines that support traveler-related decision-making, including acquisition, conversion, engagement, and retention.Act as a Trusted Thought Partner: Collaborate closely with Product and Data teams to translate business needs into actionable outcomes and promote the adoption of self-serve data capabilities.Deliver High Technical Craft: Implement best practices in code quality, data modeling, testing, and monitoring. Contribute to the operational support of your delivered solutions and enhance their reliability over time.Enhance Existing Production Systems: Proactively refactor and simplify existing pipelines/models, address data quality issues at their source, and implement targeted performance and cost improvements.Contribute to Team Outcomes: Engage in planning, roadmapping, code reviews, and knowledge sharing to boost team effectiveness.Maintain a Strong Operational Mindset: Balance operational duties with the development of new solutions, using team SLOs as guidance.

Transform the future of travel Join GetYourGuide on an exciting journey to connect travelers with unforgettable experiences worldwide. Our platform is trusted by millions seeking unique activities, and we are dedicated to making every journey extraordinary - including yours! Are you ready to unlock your potential with a community of fellow explorers? Explore opportunities at our Berlin headquarters or in one of our local offices worldwide, from New York to Bangkok. Visit getyourguide.careers to embark on your next adventure. Team Mission Within the Growth Data Engineering team, part of the strategic Flywheel Data Engineering group, our mission is to establish trusted data foundations and self-service capabilities for customer growth in our marketplace. We ingest, integrate, and structure essential internal and external datasets into dependable tables, metrics, and data products, empowering GetYourGuide to acquire and retain customers efficiently. Our close collaboration with Growth Analytics, Product, and Data teams enables accelerated and confident decision-making. Your Mission Create end-to-end data solutions independently: Provide reliable, high-quality datasets and pipelines that support traveler-facing decisions (e.g., acquisition, conversion, engagement, retention). Act as a trusted thought partner: Collaborate with Product and Data teams to translate business needs into actionable outcomes and promote the adoption of self-service data capabilities. Exhibit technical excellence: Implement best practices in code quality, data modeling, testing, and monitoring; contribute to operational support to enhance reliability over time. Enhance existing production systems: Pragmatically refactor and simplify current pipelines/models, address data quality issues at their source, and execute targeted performance and cost optimizations within your scope. Contribute to team success: Engage in planning, roadmaps, code reviews, and knowledge sharing to elevate team effectiveness. Maintain an operational mindset: Balance operational responsibilities with new solution development, prioritizing improvements based on team service-level objectives.

Transform the Travel Experience Become a pivotal part of GetYourGuide, where we connect travelers with extraordinary experiences across the globe. Our commitment to delivering unique activities people can trust empowers millions to embark on unforgettable journeys. Are you ready to make your mark? If you're eager to explore your potential within a community of innovators, consider joining us at our Berlin headquarters or any of our offices worldwide, from New York to Bangkok. Take your first step by visiting getyourguide.careers. Team Mission As part of the Supply Data Engineering team within the strategic Flywheel Data Engineering group, our goal is to establish robust data foundations and self-service capabilities for the supply side of our marketplace. We aggregate, integrate, and structure vital internal and external datasets into trustworthy tables, metrics, and data products, facilitating supplier onboarding, enhancing their success, and optimizing supply operations—all through close collaboration with Supply, Product, and Data teams. Your Mission Own the Data Pipeline: Provide reliable, high-quality data solutions that empower supply decision-making. Act as a Trusted Advisor: Collaborate with Supply, Product, and Data teams to translate business needs into tangible outcomes and promote the utilization of self-service data capabilities. Champion Technical Excellence: Actively manage and enhance the team’s data ecosystem with a long-term focus on architecture, testing, monitoring, performance, and cost efficiency. Enhance Existing Systems: Lead the design of new capabilities and continuously refine deployed systems through strategic refactoring, reliability enhancements, and simplification. Elevate Team Performance: Raise engineering standards through comprehensive code reviews, design contributions, and hands-on support—removing obstacles for fellow engineers and sharing knowledge to enhance team capability. Define Best Practices: Influence technical standards and decisions with an emphasis on simplicity, reusability, and maintainability.

Join our dynamic Platform tribe at SumUp, where your expertise will help us create an innovative self-service, AI-Ready Data Platform. Our Data Platform team plays a crucial role in supporting our ambitious ventures into Data, AI, and real-time analytics. We are committed to building robust and scalable infrastructure that empowers our global data community.Your ResponsibilitiesDesign and sustain an exceptional data infrastructure that underpins vital processes.Enhance platform self-service capabilities by developing features for ETL and orchestration.Streamline processes to maximize compute resource efficiency and minimize costs.Implement automation solutions to ensure our infrastructure's availability around the clock.Participate in the design and rollout of new services within our platform ecosystem.

We are seeking a highly skilled Senior Data Engineer to join our dynamic team at repriskag in Berlin. In this pivotal role, you will be responsible for designing, building, and maintaining scalable data pipelines that support our data-driven decision-making processes. You will work closely with data scientists, analysts, and other stakeholders to ensure data quality and accessibility.

At Veeva Systems, our mission-driven approach is transforming the life sciences landscape by accelerating the journey of innovative therapies to patients. As a trailblazer in the industry cloud sector and one of the fastest-growing SaaS companies, we achieved over $3 billion in revenue last fiscal year, with promising growth on the horizon. Our core values drive us: Do the Right Thing, Customer Success, Employee Success, and Speed. We proudly established ourselves as a public benefit corporation in 2021, ensuring a commitment to balancing the interests of our customers, employees, society, and investors. Embracing a flexible work culture, we offer our team the freedom to choose between working from home or in the office, empowering you to thrive in your most productive environment. Join us in our commitment to revolutionizing the life sciences industry, making a positive impact for our customers, employees, and the communities we serve.

At Mapbox, we are at the forefront of real-time location technology, empowering a new wave of businesses that are location-aware. Our platform is uniquely designed to provide organizations with a comprehensive suite of tools that enable the seamless navigation of people, packages, and vehicles across the globe. With over 4 million developers relying on Mapbox for its flexibility, security, and privacy compliance, our applications, data, SDKs, and APIs allow for the creation of tailored and immersive experiences that captivate users.Our MissionData is the cornerstone of Mapbox; it drives every product we develop, from maps to navigation solutions and search functionalities. The Roads team is pivotal in building extensive global road networks that enhance both visual and navigational capabilities.Your RoleAs a Senior Software Development Engineer, you will significantly contribute to the development of high-quality road features, navigation systems, and high-definition maps. You will leverage your expertise within a dynamic, cross-functional team that is passionate about technology and self-organization.In this position, you will:Own, enhance, scale, and iterate on our existing data processing pipelines.Design and implement new data processing architectures.Gather and analyze performance metrics for continuous improvement.Participate in discussions and implement best practices for security protocols.

Join Almedia, a pioneering force in reshaping the marketing landscape. We are on a mission to become Germany’s second bootstrapped unicorn, already recognized as Europe’s third fastest-growing company in 2025 (FT1000).At Almedia, we empower our community of over 60 million users by rewarding them for engaging with our advertisers’ products. Our innovative approach is transforming user acquisition strategies for some of the largest companies worldwide.Data EngineerAs a Data Engineer at Almedia, you will play a pivotal role in designing, implementing, scaling, and maintaining the code that drives our production environment. Enjoy the freedom to innovate as you develop the next generation of our data and backend platforms—building robust APIs, pipelines, and leveraging both self-managed and cloud infrastructure to deliver reliable, high-impact systems.A strong technical mindset and a passion for continual improvement are essential.

About SkillersZone LLC:SkillersZone LLC stands at the forefront of affiliate marketing and recruitment software solutions, dedicated to empowering businesses with state-of-the-art, user-centric technology that streamlines marketing and recruitment processes. We are on the lookout for a skilled Data Engineer to join our dynamic team, tasked with constructing a robust infrastructure that facilitates the collection, storage, and processing of extensive data sets, ensuring reliable access to critical data that drives strategic decision-making and fosters innovation.Position Overview:The Data Engineer will play a pivotal role in designing, building, and maintaining efficient data pipelines, enabling seamless data flow across diverse systems. Collaboration with data scientists, analysts, and various stakeholders will be essential to guarantee that our data is accessible, accurate, and dependable for effective business analysis and informed decision-making.

Join Delivery Hero as a Legal Data Engineer and contribute to our innovative team in Berlin. As a part of our legal department, you will leverage data engineering skills to enhance legal processes, ensuring compliance and efficiency. You will be responsible for designing and implementing data solutions that support our legal operations, making a significant impact on our business.

About the Position: We are experiencing rapid growth at Bluefish AI, and our Engineering team is set to expand significantly in the next three months. We are seeking an Engineering Manager to join our esteemed engineering leadership team. This is not merely a leadership position; it presents a unique opportunity to influence the foundational aspects of a dynamic, product-oriented startup during a pivotal growth phase. In this role, you will oversee our Data Engineering team, tasked with maintaining the pipelines and infrastructure that drive our AI-powered commerce intelligence platform. Our systems handle and process hundreds of millions of synthetic prompts and signals, with expectations for substantial scaling as our traffic surges in the forthcoming months. A key focus of this position will be to guide the evolution of our data platform towards a scalable data lake architecture while ensuring reliability for the critical production pipelines utilized by our enterprise customers. You will spearhead efforts in execution, quality assurance, and cultivating a positive team culture. Your leadership will be essential in transforming early-stage velocity into mature, high-performing teams, all while preserving the agility and pace that define exceptional startups.

At Pipedrive, we believe that exceptional people drive the creation of outstanding products. Our team embodies our core values, and we prioritize hiring individuals who align with them. Since our inception in 2010, we have been dedicated to providing sales and marketing teams with intuitive, robust tools designed to streamline daily tasks. Today, our cloud-based software is the choice of over 100,000 companies across 179 countries. From our humble beginnings as a five-person start-up, we have evolved into a multinational organization with more than 850 employees representing over 50 nationalities, with offices in Europe and the United States. In 2020, we proudly became the fifth unicorn from Estonia after receiving significant investment from Vista Equity Partners, a leading global investment firm focusing on enterprise software and technology-enabled businesses.We are currently seeking a Paid Social Lead to oversee and expand our paid social channels on a global scale. In this pivotal role, you will transition from basic execution to strategic oversight, technical integration, and creative testing of Pipedrive's social media presence.This position places you at the crossroads of our Creative, Data Science, and MarTech teams. If you are a performance marketer who thrives on merging data with creativity and fostering collaboration, we would love to connect with you!

Join Securitas as a Lead Technician in our state-of-the-art data center operations in Berlin. In this pivotal role, you will oversee technical projects, ensuring optimal performance and reliability of our infrastructure. You will be responsible for troubleshooting and resolving issues, collaborating with cross-functional teams, and implementing innovative solutions to enhance our data center efficiency.

About Our ClientFounded in Canada in 2015, our client has rapidly expanded to encompass a global portfolio of over 118 companies. They specialize in acquiring and developing vertical market software firms, empowering each business to deliver top-notch mission-critical solutions tailored to their industry's needs. A cornerstone of our client's philosophy is to invest in well-established enterprises while cultivating an entrepreneurial atmosphere that transforms these companies into industry leaders. Their strategic approach focuses on building long-term partnerships with existing management to create and enhance value.About the RoleAs the AI Engineering Lead, you will assume a pivotal leadership role in defining and executing the company's AI strategy. You will be responsible for the practical integration of AI across our client's engineering framework, enhancing internal development and testing processes to improve efficiency and quality. Additionally, you will oversee the development of AI-driven product features that provide tangible benefits to users. In this position, you will ensure alignment between engineering, product management, and data science teams, translating innovative ideas into actionable solutions and guiding teams to unlock their full potential through effective AI integration.Key Responsibilities AI Strategy & Vision: Develop a comprehensive AI roadmap that aligns with business objectives; identify opportunities for AI/ML applications in internal workflows (e.g., code generation, automated testing, monitoring); collaborate with product leadership to design and implement AI-enhanced product features. AI Integration into Engineering Practice: Spearhead the deployment of AI tools within the Software Development Life Cycle (SDLC) (e.g., GitHub Copilot, CodeWhisperer, Tabnine); automate unit testing, static code analysis, and regression testing leveraging AI; guide the application of AI in CI/CD pipelines for improved monitoring, alerting, and predictive operations. AI Product Development: Design and oversee the creation of AI/ML models and AI-enhanced product features; ensure adherence to best practices in AI/ML, including model training, data governance, validation, and ethics; select and manage the necessary infrastructure (e.g., cloud GPU/TPU, model operations platforms like MLflow or Vertex AI). Team Leadership & Cross-Function Collaboration: Lead a team of AI engineers, data scientists, and MLOps personnel; collaborate with product, design, and stakeholders to ensure AI features align with user value; mentor engineering teams on responsible AI usage, prompt engineering, and model comprehension. Governance & Compliance: Establish standards for responsible and explainable AI; ensure compliance with regulatory and ethical guidelines (e.g., GDPR, fairness, transparency); monitor model performance to prevent drift or unintended behaviors.