Senior Data Engineer (Python) - Join Our Innovative Team

forvismazars is looking for a Werkstudent in Data Analytics & Python to join the team in Berlin. This role is designed for students interested in data analysis and programming, offering a chance to apply academic knowledge in a professional setting. What you will do Support the data analytics team on ongoing projects Work with Python and data analysis tools Gain practical experience in real business scenarios Who we’re looking for Currently enrolled as a student Interest in data analytics and programming Eager to develop technical skills and learn from experienced colleagues This position offers hands-on involvement in data projects and the chance to build technical expertise while working alongside professionals in the field.

Join justplay GmbH as an Analytics Engineer and be at the forefront of driving data-driven decision-making within our organization. In this hybrid role based in Berlin, you'll collaborate with cross-functional teams to develop robust analytics solutions that empower our business to thrive in a competitive landscape.

Distribusion Technologies connects travelers with ground transportation options worldwide. Our B2B technology platform links bus, rail, and ferry operators in over 70 countries to major online retailers, including Google Maps and Booking.com. With recent Series C funding of $80 million and support from investors like TQ Ventures, Creandum, Northzone, and Lightrock, we continue to grow rapidly in the travel sector. Role Overview The Analytics Engineer will join the Data team in Berlin, playing a key part in shaping data-driven growth. This position focuses on building analytical reports, developing and improving data pipelines, and delivering insights that drive decisions for both internal and external stakeholders. The work impacts millions of users, often within days or hours of release. What You Will Do Build new Looker dashboards from scratch, often under tight deadlines. Develop a deep understanding of the data lake, including data sources, locations, and processing flows. Recommend and advocate for improvements in reporting to make reports clearer and faster to generate. Quickly grasp project goals and identify any missing information needed to move forward. Validate outputs thoroughly, maintaining high attention to detail and data accuracy. Consider long-term impacts of decisions to anticipate future data challenges. Work independently, using resources like Google and AI tools (such as Gemini or ChatGPT) to solve problems and experiment before seeking help. Work Environment This position is primarily based in Germany, with a preference for working onsite at our headquarters in Berlin.

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!

Location: Berlin, Germany (hybrid work model, Chausseestraße office) Team: Strategic Operations Role overview getolo is expanding its Strategic Operations team and hiring a Senior Data Analyst in Operations (all genders) for a full-time position based in Berlin. This role combines hands-on data analysis with collaboration across multiple teams. The focus is on supporting informed decisions and driving ongoing improvements in how the business operates. Operations data management Maintain accuracy, consistency, and usability of operational data, reports, and analyses. Analyze data from sources such as claims, customer service, and operational performance to identify trends, risks, and opportunities for improvement. Build and update dashboards and reports to track key performance indicators, including loss ratios, service quality, and customer satisfaction. Present clear, actionable findings to non-technical stakeholders and support ad-hoc analysis for operations and management. Improving the operations data model Identify anomalies, inefficiencies, and areas for improvement through detailed data analysis. Translate business needs into specific data requirements and contribute to shaping the data roadmap for operations. Work closely with the Data Platform Team to ensure data integrity, scalability, and alignment with business objectives. Strategic data projects Deliver data-driven insights to management on topics such as customer segmentation, CSAT analysis, and performance optimization. Act as a trusted partner for management, supporting strategic decisions with data. Lead cross-functional analysis projects, including integrating new markets into reporting and conducting pricing or product studies for new insurance offerings.

Join our innovative team at ABOUT YOU GmbH as a Senior Data Analyst specializing in Recommendation Systems. In this role, you will leverage your analytical skills to enhance our recommendation algorithms, driving personalization for our users. Your expertise will help us in analyzing user behavior and improving customer engagement through data-driven insights.

Role overview getolo is looking for a Senior Data Analyst with a focus on Finance to join the team in Berlin. This position centers on applying data analysis to guide and support key financial decisions throughout the company. What you will do Collaborate with teams across departments to strengthen financial performance and refine reporting processes. Examine financial data to identify trends and patterns that influence business planning. Present clear, actionable recommendations based on analysis to help shape financial strategies. Location This role is based in Berlin, Berlin, Germany.

Wir suchen einen engagierten Werkstudenten (m/w/d) im Bereich Recruiting, der unser dynamisches Team in Berlin verstärkt. In dieser Rolle haben Sie die Möglichkeit, praktische Erfahrungen im Personalwesen zu sammeln und aktiv am Rekrutierungsprozess teilzunehmen. Sie unterstützen bei der Identifizierung und Ansprache von Talenten, der Durchführung von Vorstellungsgesprächen und der Pflege unserer Bewerberdatenbank.

Transform the Way the World Travels Embark on the GetYourGuide adventure, where we connect people with unforgettable travel experiences across the globe. Millions trust us for unique activities, all driven by our dedication to making every journey extraordinary—including yours. Are you ready to unleash your potential within a community of fellow explorers? Discover your next opportunity at our Berlin headquarters or at one of our global offices, from New York to Bangkok. Visit getyourguide.careers to embark on your journey. Team Mission The mission of our Analytics department is to empower the Marketing organization to make informed decisions based on data. We tackle a diverse array of challenges and datasets as integral members of cross-functional mission teams. We take ownership of the entire analytics funnel—from exploration and recommendations to impact measurement—and take great pride in the insights we generate. This particular role is situated within our Marketing Analytics team, which aims to optimize our marketing investments towards attracting the most loyal and incremental customers. This is a strategic position focused on resolving cross-channel challenges to accelerate our growth, such as determining effective strategies for enhancing our display and mid-funnel spending while analyzing the behaviors of our repeat audiences. Your Mission Conduct quantitative analyses and develop statistical models to inform marketing strategies. Formulate and advocate for strategic recommendations to our senior marketing leaders. Design and evaluate marketing experiments to inform strategic decision-making. Analyze extensive datasets, derive insights, identify opportunities and issues, and communicate findings to stakeholders. Enhance and manage our marketing measurement tools, including Attribution and Customer Lifetime Value frameworks. Act as a bridge between marketing teams and data engineering teams. Mentor team members on essential skills for this role. Your Toolkit 8+ years of relevant experience in analytics, data science, or business intelligence. Proficient in SQL and Python for data analysis (e.g., pandas, scikit-learn, pyspark). Strong understanding of user behavior and the ability to translate data into actionable insights for business stakeholders. Experience in digital and performance marketing analytics.

About the Role moia is looking for a Product Owner (All Genders) focused on Data Processing. This position is based in Berlin or Hamburg. Main Responsibilities Guide the development and improvement of data processing approaches. Work closely with teams across the company to shape product vision and direction. Prioritize and manage product backlogs for data-driven features and enhancements. Support the delivery of products that address customer needs through effective use of data. Location Berlin, Germany or Hamburg, Germany

Join our dynamic team as a Senior Data Scientist specializing in Search Engine technologies. This role is pivotal in enhancing our search capabilities, using advanced analytics and machine learning to drive user engagement and optimize search results.You will collaborate with cross-functional teams to design and implement innovative solutions that enhance our product offerings. Your expertise will be crucial in analyzing large datasets and deriving actionable insights to improve overall performance.

Join Our Vision at andercoreandercore is an innovative AI-powered trade platform revolutionizing the industrial supply chain across vital sectors such as infrastructure, energy, and construction materials. Our platform seamlessly connects trusted suppliers from Asia, Europe, and the GCC region to local markets through a unified, integrated system.Utilizing our proprietary AI infrastructure, we automate and digitize the entire lifecycle of materials trade—from procurement and pricing to inventory management, logistics, and embedded financing. This transformation replaces traditional manual processes with real-time orchestration, enhancing efficiency and reliability.Our buyers benefit from instantaneous quotes, guaranteed product availability, and predictable delivery timelines, while suppliers gain insights into accurate demand forecasting and streamlined management of cross-border fulfillment networks. We collaborate with industry-leading brands to facilitate both dropship and cross-dock fulfillment strategies, transforming complex global supply chains into systematic, software-driven workflows.Having achieved triple-digit million GMV and operating in six international markets, we are on an accelerated path toward profitability. Our dynamic team of over 80 professionals, headquartered in Berlin with an expanding presence in Asia, is committed to developing the world’s first industrial-grade AI operating system for materials, redefining global trade in one of the most critical industries worldwide.Backed by prominent investors and global institutional banking partners, including a recent successful $40 million Series B round from Atomico, Project A, and Invent Capital, with support from Commerzbank and KfW, we are poised for significant growth.

Sie sind auf der Suche nach einer spannenden Werkstudentenstelle in der Autovermietung? Bei Sixt, einem der führenden Mobilitätsdienstleister, haben Sie die Möglichkeit, in einem dynamischen und internationalen Umfeld zu lernen und zu wachsen. Unterstützen Sie unser Team in Berlin bei der Verwaltung und Optimierung unserer Mietwagenflotte und bieten Sie unseren Kunden erstklassigen Service.

CHECK24 is looking for a Werkstudent (m/w/d) to join the Business Intelligence team focused on the Home & Living E-Commerce sector in Berlin. This student role centers on supporting data analysis and reporting tasks that help guide business decisions. What you will do Assist with analyzing market trends and patterns relevant to Home & Living E-Commerce Help develop reports that inform business strategies Contribute to data-driven decision-making within the team Who this role suits Students interested in business intelligence and data analysis Those eager to apply analytical skills in a practical, real-world setting This position offers hands-on experience in a team that values clear insights and supports ongoing learning.

SumUp is looking for a Senior Analytics Engineer to join the Risk Analytics Team in Berlin. This team sits within the Risk & Compliance Tribe and focuses on regulatory reporting, fraud detection, chargeback management, and compliance analytics across European jurisdictions. The Risk Analytics Team works at the intersection of data, regulation, and business operations. Team members collaborate with Data Scientists, Data Engineers, and backend engineers to deliver accurate and scalable data solutions that support SumUp’s regulatory and business needs. In this role, the Senior Analytics Engineer will help shape the technical direction of the team. The position involves building and maintaining data frameworks that support regulatory compliance, automating data pipelines, and ensuring the delivery of high-quality data products for decision-making within the Risk & Compliance Tribe. What you will do Design and maintain complex data models to track merchant activities and support timely, accurate regulatory reporting. Enhance and manage data pipelines for regulatory report submissions across European entities, focusing on compliance, reliability, and reducing manual work. Develop and implement data validation strategies required by regulators to ensure high-quality reporting. Apply dbt best practices, maintain the dbt project, and enforce coding guidelines and style validations. Work closely with Data Engineers, Data Scientists, Software Engineers, and backend engineers to integrate their work into robust data pipelines. Monitor and manage computing costs, identifying ways to improve cost-efficiency in the domain. Extract pipeline metrics and build dashboards for clear team-wide monitoring. Support a strong data infrastructure using tools such as Git, Argo Workflows, dbt, and Snowflake, enabling self-service analytics for Data Analysts and stakeholders.

About the CompanyThe leading AI-driven trade platform revolutionizing the industrial supply chain in infrastructure, energy, and construction materials. We connect verified suppliers across Asia, Europe, and the GCC region with local demand through a seamless integrated platform.Our proprietary AI technology digitizes and automates the entire lifecycle of materials trade—from procurement and pricing to inventory management, logistics, and embedded financing—transforming manual, relationship-driven processes into real-time orchestrated workflows.Buyers benefit from instant quotes, reliable availability, and predictable delivery through a unified operating system, while suppliers enjoy precise forecasting, disciplined demand management, and smooth integration into cross-border fulfillment networks. Our partnerships with leading brands enable us to manage both dropship and cross-dock fulfillment for large-scale transactions, effectively transforming global supply chains into predictable and repeatable workflows akin to software operations.With strong backing from top-tier investors and institutional financing partners, we have achieved triple-digit-million GMV, operate in six international markets, and are rapidly progressing towards profitability. Our team of over 80 professionals, based in our Berlin headquarters and across Asia, is dedicated to building the world's first industrial-grade AI operating system for materials, thereby redefining the mechanics of global trade in one of the most critical sectors.

Pipedrive is looking for a Director of Product Analytics based in Berlin, Germany. This leadership role centers on guiding a team that transforms data into actionable insights for the company. Key responsibilities Shape and evolve the analytics strategy to support product development goals Lead initiatives that help teams make informed, data-based decisions Collaborate with product teams to enhance offerings using analytics findings Team focus The Director of Product Analytics will work with cross-functional groups, ensuring that data insights are accessible and practical for business needs. The position requires a mix of strategic vision and hands-on leadership to drive continuous improvement.

Join Scout24 as a Werkstudent in Product Marketing and become an integral part of our dynamic team in Berlin. In this role, you will assist in developing innovative marketing strategies, conducting market research, and supporting product launches. Your contributions will help shape our marketing efforts and enhance customer engagement.

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.