Driver and Data Collector in Berlin, Germany

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 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.

smava GmbH is Germany’s leading online credit comparison platform. The company focuses on making loans more transparent, fair, and affordable for consumers. With over 300,000 customers, smava continues to influence the digital landscape of consumer lending. Role overview The Data Engineer (f/m/d) will join the Data Platform team in Berlin. This group is responsible for providing the data infrastructure and services that power the entire organization. Their work enables teams across smava to make informed decisions, with a strong emphasis on speed, safety, and security. What you will do Maintain, improve, and update the data platform to meet evolving business requirements. Design and implement data models, including those using Data Vault methodologies. Develop scalable batch and streaming data pipelines for efficient data processing. Collaborate with Business Analysts, Analytics Engineers, Data Scientists, and fellow Data Engineers on important data projects. Uphold high standards for data reliability, quality, and performance throughout the systems. Promote improvements in infrastructure by applying best practices and automation. Technology stack AWS: Redshift, S3, Kinesis, Glue, Aurora, DMS, EC2, ECS, Fargate, and more Data Engineering: Python, dbt, Dagster, Matillion Infrastructure: Terraform, Docker, CI/CD Other Tools: Segment, Linux, Tableau Further details about the team's work can be found in these articles on AWS and Dagster. This role is based in Berlin.

Role Overview airapps is looking for a Data Engineer to help shape and maintain the data infrastructure that supports our products and teams. This position is based in the Berlin Metropolitan Area. What You Will Do Design, build, and improve data pipelines to move and transform data efficiently Work with data scientists and analysts to deliver reliable, accessible data for analysis and reporting Optimize existing systems to ensure scalability and reliability as data volumes grow Support the team’s efforts to turn raw data into meaningful insights for business decisions About airapps airapps focuses on building data-driven solutions and values collaboration across technical and analytical teams. The company’s mission centers on turning data into actionable insights.

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.

The AML AI Engineering Squad, a dynamic cross-functional team within the Risk & Compliance tribe, is at the forefront of developing state-of-the-art data products and machine learning solutions. Our mission is to enhance Transaction Monitoring and safeguard our merchant base against Money Laundering and Financial Crime. We leverage automation, AI, and engineering excellence to create innovative products that empower Risk and AML teams to operate more intelligently and efficiently.As a Senior Data Engineer, you will play a pivotal role in establishing a robust, high-quality data foundation that enhances efficiency, drives AI-driven automation, and facilitates data-informed decisions for our Risk and AML teams. Your expertise will be crucial in building and maintaining data pipelines within our system, ensuring that analysts, product managers, and AI systems have access to reliable and trusted data.Join us in shaping the future of financial safety and making a significant impact!

Join Vestiaire Collective, the premier global platform for coveted pre-owned fashion, as we redefine the future of fashion consumption. Our mission is clear: to normalize circular fashion. By leveraging technology, expertise, and an actively engaged global community, we empower millions to buy and sell fashion sustainably. Established in Paris in 2009, Vestiaire Collective has evolved into a worldwide marketplace with offices in Paris, London, Berlin, New York, Singapore, and Ho Chi Minh City, along with logistics hubs across Europe, Asia, and the United States. Currently, our diverse team of approximately 600 individuals from over 50 nationalities is driven by a collective ambition to instigate significant change within the fashion industry. Our values—Activism, Transparency, Dedication, Greatness, and Collective—guide our daily interactions and growth.About the RoleYou will be part of the Data Platform team at Vestiaire Collective as a Data Engineering Manager, leading a dedicated group of 2 to 3 Senior Data Engineers.Our compact and collaborative team is responsible for the ingestion, transformation, and machine learning infrastructure that drives the entire organization.We focus our strategy on three key pillars: Governance Excellence, Platform Enablement, and AI Innovation. With a solid self-service foundation established, we are now embarking on an exciting phase—scaling our platform, enhancing efficiency, and equipping our infrastructure for the AI-driven future.In this role, you will blend leadership, technical guidance, and project ownership. You will foster your team's development while ensuring the creation of a robust, scalable, and future-proof data platform.

Superhuman Platform Inc seeks a Data Engineer for its Berlin hub. This role centers on building and refining data solutions that help drive ongoing projects. The position involves close collaboration with multiple teams to keep data processes efficient, while upholding strong standards for data quality and accessibility. What you will do Design and implement data pipelines and systems to meet project requirements Collaborate with colleagues across departments to improve and streamline data workflows Monitor data integrity and maintain reliable data availability across various platforms Location This position is based in Berlin and operates within a hub model, encouraging in-person collaboration.

scalablegmbh is looking for a Senior Analytics Engineer to join the team in Berlin. This position centers on building and refining data models that help unlock valuable insights for the business. Role overview The Senior Analytics Engineer works closely with colleagues from different departments to shape data-driven solutions. The job involves developing scalable data models, improving query performance, and ensuring that analytics efforts support key business goals. What you will do Collaborate with cross-functional teams to understand data needs Design and maintain scalable data models Optimize queries for efficiency and reliability Translate data into clear, actionable insights for decision-making Location This role 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.

About dltHubdltHub is at the forefront of innovation, leveraging the dlt library, the leading open-source Python library for data loading, boasting ~6 million downloads monthly. Our mission is to develop cutting-edge AI-native data tools built on a robust open-source foundation.Our team thrives on speed and adaptability, driven by a commitment to experimentation, automation, and user-focused AI workflows. We are a highly dynamic group of seasoned data and machine learning engineers, with our roots in Berlin and a burgeoning presence in the United States.Supported by prominent investors like Bessemer Venture Partners, Foundation Capital, and Dig Ventures, our team comprises technical founders from renowned companies such as Hugging Face and Instana. Our core values drive us: we communicate boldly, create impactful solutions, automate tirelessly, bring enthusiasm to our work, fulfill our commitments, and celebrate our collective achievements. About the RoleWe are seeking a passionate Solutions Engineer to assist our customers in integrating our products seamlessly into their systems, while also supporting our sales team in acquiring new clients. If you excel in a fast-paced environment and are eager to play a critical role in shaping the future of an early-stage startup, this position is perfect for you. Key ResponsibilitiesAs a vital member of our solutions engineering team, you will engage in both post-sales support and pre-sales initiatives. Your responsibilities will include:Facilitating the implementation and deployment of dlt OSS within client systemsGuiding customers through onboarding and providing ongoing support

Distribusion connects travelers with ground transportation options worldwide. Our B2B platform brings together bus, rail, and ferry operators from more than 70 countries, making their services available through major online retailers such as Google Maps and Booking.com. Backed by TQ Ventures, Creandum, Northzone, and Lightrock, Distribusion recently secured $80 million in Series C funding. After a year of 10x growth, we are expanding our reach as one of the fastest-growing startups in travel technology. Role Overview We are hiring an Analytics Engineer to join our Data team in Berlin. This role focuses on solving complex data challenges and delivering solutions that quickly impact millions of users. The work spans the full analytics lifecycle, from building data pipelines to creating reports and dashboards that drive decisions for both internal and external stakeholders. What You Will Do Build new Looker dashboards from scratch, often within tight deadlines such as a single day. Develop deep knowledge of our data lake, including where data resides, its sources, and how it is processed. Recommend improvements to the Data Platform’s reporting to streamline and speed up report creation. Quickly understand project requirements, spot what matters, and identify missing information to keep work on track. Validate outputs thoroughly, maintaining high accuracy and attention to detail. Think ahead to anticipate challenges and consider the long-term effects of decisions. Work independently, using resources like Google and AI tools (such as Gemini and ChatGPT) to troubleshoot and test before seeking help. Location This position is based in Germany, with a preference for candidates who can work from our Berlin headquarters.

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.

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 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.

Join Our Dynamic AI Team:At SumUp, a leader in the fintech space, we are dedicated to providing an unparalleled customer experience. Our Global Operations team seeks a talented and enthusiastic Data Scientist to enhance our AI initiatives. You will play a pivotal role in developing models that directly impact customer interactions and the overall efficacy of our AI products.In this position, you will engage in the design, testing, and implementation of advanced machine learning and AI models. Your efforts will bolster our customer support framework by pinpointing areas for improvement and customizing experiences to meet merchant requirements.Your collaboration with diverse teams—including analysts, ML engineers, and product managers—will be essential in translating business objectives into actionable, measurable ML solutions. Your work will shape the future of our customer support, enabling SumUp to remain a customer-centric organization.

Join zenjob as a Senior Data Analyst in Berlin and play a pivotal role in shaping our data-driven strategy. You will be responsible for analyzing complex datasets, generating insights, and presenting actionable recommendations to stakeholders. Your expertise will guide our business decisions and enhance operational efficiency.