Senior Engineer (m/w/d) in Electrical Engineering with Data Center Planning Experience

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.

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.

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 GALVANY, we are dedicated to transforming climate-neutral living into a reality for all. Our core focus lies in implementing effective solutions such as heat pumps, battery storage, and smart metering, making them accessible, reliable, and affordable. GALVANY-Tech is pioneering the energy transition through innovative software solutions. We are developing an AI-driven Operating System that facilitates the sales, planning, installation, and operation of heat pumps and integrated energy systems, catering to everything from single-family homes to multi-unit buildings, and operating within our Energy Community as a Virtual Power Plant.As a successful green-tech startup, we believe that sustainable impact and long-term growth can only be achieved through a robust business model. We prioritize customer value, transparency, and accountability, standing firmly for top-quality heating solutions and fostering an environment where individuals take charge and create lasting changes.The RoleAs a Senior Data Engineer at GALVANY, you will design and maintain the data infrastructure that supports our AI-based Operating System. You will process real-time energy data from heat pumps and integrated systems, construct data pipelines that empower AI models and analytics, and guarantee the integrity of data across our entire ecosystem—from individual residences to our Virtual Power Plant.

Team OverviewThe Card Not Present (CNP) Protect team is a dynamic, cross-functional unit within SumUp's Risk & Compliance tribe. We are dedicated to safeguarding millions of merchants by mitigating fraud in our card-not-present offerings. Our team excels in developing robust machine learning systems and data pipelines that facilitate real-time automated decision-making. We are currently enhancing our infrastructure to incorporate foundation model embeddings. This role offers significant ownership and impact, directly influencing the efficacy of our fraud detection mechanisms.Key ResponsibilitiesDesign, implement, and sustain high-quality Python-based data pipelines that support machine learning workflows, featuring real-time and near-real-time data processing.Assume complete responsibility for data quality and reliability, executing validations, automated testing, monitoring, and alerting with established SLAs.Enhance our data foundation by meticulously documenting architecture, data lineage, dataset definitions, and managing dependencies.Lead the governance of our Feature Store, refining usability and standardizing setup to enable data scientists to operate with speed and confidence.Collaborate closely with the Risk Platform, ML Data Platform, data scientists, software engineers, and analysts to ensure safe deployment of changes to production.

Are you ready to take your career to the next level? Join dev2 as a Senior Data Engineer specializing in Python and play a pivotal role in our data-driven projects. You will work closely with cross-functional teams to design and implement scalable data solutions that drive innovation and efficiency.In this role, you will:Design, develop, and maintain data pipelines and ETL processesCollaborate with data scientists and analysts to optimize data storage and retrievalEnsure data quality and integrity through rigorous testing and validationContribute to architectural discussions and guide best practices

scalablegmbh is seeking a (Senior) Data Engineer to join the team in Berlin. This role centers on designing and building data architectures that support the company's data-driven goals. The work directly shapes how teams access and use information for important decisions. Role overview The (Senior) Data Engineer will focus on creating reliable systems for collecting, storing, and processing data. Collaboration with other teams ensures that data is accessible and useful for a variety of business needs. What you will do Design and implement data architectures tailored to business requirements Support teams by enabling effective data use for decision-making Location This position is based in Berlin.

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.

Delivery Hero is looking for a Senior Python AI Engineer to focus on logistics, data, and machine learning projects in Berlin. This position centers on developing AI-powered tools that support and improve delivery operations. Role overview This role involves designing and building applications using Python, with a strong emphasis on artificial intelligence and data science. The main goal is to create solutions that make logistics processes more efficient and help raise customer satisfaction. What you will do Develop and maintain AI-driven applications tailored for logistics challenges Apply machine learning techniques to optimize delivery workflows Work closely with teams to identify and solve data-related problems Requirements Extensive experience with Python Background in artificial intelligence, data science, and machine learning Ability to build solutions that improve operational efficiency

Join praxipal, where we are pioneering an AI-driven administrative workforce for healthcare aimed at alleviating the global shortage of medical personnel.Our medical assistants are crucial and deserve to focus on patient care rather than administrative tasks like managing callbacks, scheduling, and handling invoicing. This is why we developed Luna.Luna, our AI receptionist, efficiently manages and automates phone communications, earning the trust of over 100 medical practices. We are now expanding Luna's capabilities from voice interactions to comprehensive patient communication across all channels. Our vision is to evolve Luna into a fully-fledged AI solution that automates all administrative functions within medical practices, seamlessly integrated into existing systems.With backing from one of Europe’s premier investors, we are among the fastest-growing healthtech startups in Germany. Our diverse team includes alumni from Palantir, Amazon, SAP, the University of Cambridge, and the Hasso Plattner Institute.We are seeking a Senior Software Engineer focused on data integration to establish the technical foundation that will allow Luna to streamline workflows across numerous medical practices.

Team Overview The AI AML Engineering Squad at SumUp works at the intersection of machine learning and financial crime prevention. The team builds data products and machine learning systems that help keep SumUp's transaction monitoring effective and compliant in 37 countries. Senior Data Scientists here oversee the models, pipelines, and risk scoring that flag and escalate suspicious activities, always with a focus on regulatory standards. What You Will Do Develop, maintain, and improve machine learning models and batch training pipelines for anti-money laundering (AML) transaction monitoring, focusing on detection accuracy, operational efficiency, and regulatory compliance. Design and engineer features for the Feature Store, using AML typologies and suspicious behavior patterns. Work closely with AML investigators to turn domain knowledge into alerting logic and set thresholds. Run sensitivity analyses on synthetic datasets. Prepare governance materials like model cards and ensure documentation meets audit standards. Own the AML Risk Score: analyze what drives it, monitor changes, conduct back-testing, and suggest improvements to features, logic, and thresholds. Work with AML Operations, Product, and Engineering teams to turn stakeholder needs into practical, scalable data science solutions. Track and improve detection performance metrics, adjust solutions for regional compliance, and contribute to system design documentation. What We Look For Advanced Python skills, including hands-on data engineering experience and a background in building production-ready machine learning workflows. Expertise in feature engineering and unsupervised machine learning. Ability to translate domain knowledge into model behaviors and alerting logic. Experience deploying machine learning applications and managing end-to-end pipelines (monitoring, versioning, rollback), especially in regulated settings. Location This position is based in Berlin, Germany.

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.

Lead the design, development, and management of large-scale, distributed data systems that power our media and advertising solutions.Take complete ownership of our systems throughout their lifecycle, encompassing architecture, implementation, testing, deployment, operations, and ongoing evolution.Collaborate with cross-functional teams to establish robust data models, pipelines, and APIs that guarantee consistent and high-quality data delivery.Work closely with engineers, data scientists, and product teams to foster improvements, introduce innovative ideas, and uphold technical excellence.Drive continuous optimization and performance enhancements across our platforms.Exhibit curiosity and proactivity—explore emerging technologies, propose groundbreaking solutions, and elevate engineering standards.

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.

At Enpal, we are more than just a company; we are a movement aiming to transform the energy landscape. As a distinguished greentech unicorn and one of the fastest-growing energy firms in Europe, we are committed to making solar energy accessible and effortless for homeowners across the continent. Our innovative approach to solar panels, heat pumps, home energy storage systems, and EV charging stations is revolutionizing the residential energy market. With our mission to empower homeowners to adopt clean energy, we are paving the way for a sustainable and decentralized energy future.As a frontrunner in the residential solar energy sector, Enpal is expanding rapidly with a clear vision: to lead Europe’s transition towards sustainable and decentralized energy generation.Job OverviewIn the Energy Platform, we manage the integration and digital operation of Enpal’s products installed in customer homes. Whether it’s controlling heat pumps, enhancing the functionality of wallboxes, or trading energy on your behalf, we provide the platform for all Enpal’s energy solutions. Our responsibilities span from the embedded engineering of our own IoT hardware to managing cloud infrastructure that processes and optimizes our fleet and crafting exceptional user experiences.As a Senior Software Engineer (f/m/x) on our team, you will play a crucial role in building and shaping a cutting-edge Data Platform at the heart of our entire solar system fleet, empowering our other teams to deliver exceptional customer experiences.We offer a dynamic work environment with speed, agility, and significant career growth potential. Our vision to make sustainable energy accessible to all can only be realized through a customer and product-centered approach, and close collaboration among software development, product management, and lean, experiment-driven business development.Join us in developing your professional skills, participating in the energy revolution, and taking ownership of the sustainable changes we wish to see in the world together! We eagerly await your application.Your Role at Enpal:Software Development. We are focused on delivering incremental value with each iteration, celebrating improvements that enhance user experiences while contributing to our climate goals.Enhancing Developer Experience. We strive to minimize late-night deployments and repetitive manual testing. Our goal is to improve stability and automate as much as possible, including load tests and vulnerability assessments.Professional Growth. We foster an environment that encourages continuous learning and development.

LivePerson is hiring a Senior Manager of Data Services in Berlin, Germany. This leadership role centers on guiding a team dedicated to building and maintaining data solutions that support business goals and improve customer engagement. Role overview The Senior Manager of Data Services sets direction for data strategy and oversees its execution. The position ensures data services meet organizational objectives and support clients in making informed decisions. Collaboration with stakeholders and team members is key to aligning data initiatives with business needs. Key responsibilities Lead and mentor a team delivering data solutions Shape data architecture and analytics capabilities Drive strategy to align data services with business priorities Support customer engagement through effective data use Requirements Experience managing data-focused teams Strong background in data architecture and analytics Ability to align data initiatives with business objectives

Intercom is a pioneering AI Customer Service company dedicated to empowering businesses to deliver exceptional customer experiences.Our advanced AI agent, Fin, stands as the premier customer service AI solution available, enabling businesses to provide round-the-clock, flawless customer support while significantly enhancing overall customer satisfaction. When integrated with our Helpdesk, it forms a comprehensive solution known as the Intercom Customer Service Suite, which offers AI-driven assistance for more intricate or high-touch inquiries requiring human interaction.Founded in 2011 and trusted by nearly 30,000 businesses worldwide, Intercom is redefining the benchmarks for customer service. By adhering to our core values, we continuously challenge conventions, build with agility and urgency, and consistently deliver exceptional value to our clients.What is the opportunity?The AI Group at Intercom is tasked with defining innovative machine learning features, researching suitable algorithms and technologies, and quickly deploying prototypes for our customers.We are highly product-oriented. Our team, consisting of over 50 ML scientists, engineers, designers, and researchers, collaborates closely with various departments across the organization. We prioritize rapid production cycles, often transitioning to beta testing within weeks following successful offline evaluations.We continually conduct experiments and measure the effectiveness of our AI features, employing both frequentist and Bayesian methodologies, creating dashboards for result tracking, and delving deeply into user interactions to understand success metrics amidst the complexities of stochastic AI products.We are seeking a passionate Analytics Engineer to join our AI Group and contribute to our ongoing efforts.What will I be doing?Data Platform Development: Design, develop, and oversee scalable data pipelines and ETL processes to establish a robust, analytics-ready data infrastructure.Cross-functional Collaboration: Collaborate with AI analysts, ML scientists, engineers, and business teams to comprehend data requirements and ensure the delivery of accurate, reliable, and user-friendly data solutions.Data Strategy & Governance: Drive initiatives in data modeling, ownership of data quality, management of warehouses, and production support for key operational workflows.Advanced Analytics & Insights: Perform data analysis and develop custom models to inform strategic business decisions and measure performance.Automation & Optimization: Enhance the efficiency of data collection and reporting processes.