About Dataiku Dataiku provides a unified platform for building, deploying, and managing AI and analytics across the enterprise. The platform connects teams and tools, supporting transparency, collaboration, and centralized governance. Organizations use Dataiku to run analytics, machine learning, and AI projects across multiple vendors and cloud environments. Many leading global companies rely on Dataiku to operationalize AI and drive measurable business value. Learn more through the Dataiku blog, LinkedIn, X, and YouTube. Role Overview: Data Engineer I (Remote) The Enterprise Data and Analytics (EDA) team at Dataiku is hiring a Data Engineer I. This internal, non-client facing position supports the data platform that enables analytics, embedded analytics teams, Generative AI engineering, and self-service users across the company. The role is fully remote and open to candidates based in Germany, Netherlands, Spain, or the United Kingdom. What You Will Do Deliver and maintain data pipelines that power analytics and insights for teams throughout Dataiku. Split time equally between Data Operations (support, troubleshooting) and new development. Work daily with the data platform, primarily using Snowflake, Dataiku, and GitHub. Develop solutions using Python and SQL. Contribute to DataOps processes within GitHub Actions and Dataiku. Support data platform processes within Snowflake and Dataiku. What We Look For Technical skills in Python, SQL, and data platform tools (Snowflake, Dataiku, GitHub). Strong analytical thinking and problem-solving abilities. Excellent verbal and written communication skills. Curiosity and a commitment to continuous learning. Ability to work collaboratively with engineers from different teams. Positive attitude and focus on shared goals. Additional Notes This is an internal and non-client facing role.

Veeva Systems is a mission-driven pioneer in the industry cloud space, dedicated to accelerating the delivery of therapies to patients. As one of the fastest-growing SaaS companies globally, we achieved over $2B in revenue last fiscal year, with significant growth potential on the horizon.At Veeva, our core values - Do the Right Thing, Customer Success, Employee Success, and Speed - guide our operations. We made history in 2021 by becoming a public benefit corporation (PBC), committed to balancing the interests of our customers, employees, society, and investors.As a Work Anywhere organization, we provide the flexibility to work from home or in the office, allowing you to thrive in your preferred environment.Join us in transforming the life sciences industry, as we strive to make a positive impact on our customers, employees, and the communities we serve.The RoleVeeva OpenData Commercial enhances the industry by delivering reference data across the healthcare ecosystem, facilitating commercial sales execution, compliance, and business analytics.We consistently drive value for our customers through ongoing innovation, leveraging cloud-based solutions and cutting-edge technologies to achieve product excellence and ensure customer success.As an Analytics Engineer, you will be responsible for creating maintenance jobs to transform, clean, and validate data from diverse sources. This data will be processed on our data platform using Python.Your role will significantly impact customer success by ensuring the freshness, availability, and quality of data for our clients. Beyond data acquisition and modeling, you will engage in classic analytical tasks such as ad-hoc reporting and visual reporting.

Join EXARING AGAt EXARING AG, we are at the forefront of innovation, developing and operating the TV platform waipu.tv. As the market leader in independent IPTV in Germany, waipu.tv serves over six million users and boasts the highest customer satisfaction ratings in the industry. Our platform not only provides traditional television but also offers access to over 30,000 movies and series on demand, allowing users to enjoy their entertainment flexibly over Wi-Fi on any device, with features like recording, pause, and restart functionality, freeing them from fixed broadcast times.Are you eager to develop your skills and have fun doing what you love?Become part of our innovative team and help us shape the future growth of waipu.tv!Your RoleAs a Senior Analytics Engineer (f|m|d), you will be an integral part of our Data Team, bridging the gap between our Data Platform and data-driven business management. This role comprises approximately 40% Data Engineering and 60% Advanced Analytics.Data Engineering ResponsibilitiesLead the development, enhancement, and stability of our data pipelines (Airflow, BigQuery, DBT).Design and take ownership of key data models in the Data Warehouse, providing a foundation for reporting, self-service analytics, and advanced analytics.Ensure data quality through testing, monitoring, and robust transformation logic.Optimize performance and costs in the Data Warehouse.Integrate new data sources in close collaboration with Product, Marketing, and Tech teams.Data Analytics ResponsibilitiesTranslate complex business questions into structured, reproducible analyses.Conduct independent analyses of user behavior, churn drivers, and performance metrics.Provide clear actionable recommendations with direct impacts on product and business decisions.Design and implement data-driven workflows and oversee their execution.

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.

Join our dynamic team at haufegroup as a Senior Data Analytics Engineer (d/m/w). In this pivotal role, you will leverage your extensive experience to design and implement data analytics solutions that drive business insights and enhance decision-making processes. Collaborate with cross-functional teams to analyze data requirements, develop analytical models, and translate complex data into actionable strategies that align with our business goals.

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.

About the Role Statista is looking for an Engineering Manager to guide the Data & Analytics Engineering team in Hamburg or Berlin. This role centers on leading projects, supporting team growth, and working closely with other groups to deliver strong data solutions for the company. What You Will Do Oversee and coordinate projects within the Data & Analytics Engineering team Mentor and support team members in their professional development Work with cross-functional teams to build and improve analytical tools and data-driven solutions Help strengthen Statista’s analytical capabilities to support informed decision-making Location This position is based in Hamburg or Berlin.

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.

Jobgether’s partner company is seeking an Engineer, Index Business Intelligence (Data Programming & Analytics) based in Germany. This position sits at the intersection of data engineering, business intelligence, and market analytics. The main focus is to generate insights that guide strategic and commercial decisions. Key Responsibilities Transform large and complex datasets into structured, automated, and reusable reporting tools. Develop scalable data pipelines to enable consistent analytics and reporting. Break down complex or ambiguous business questions into clear data models and actionable insights. Work closely with colleagues across Sales, Product, Finance, Research, and Legal teams. Enhance reporting efficiency and encourage data-driven decision-making across the organization. Help ensure the consistency and quality of index-related intelligence used in global markets. Requirements Strong programming abilities, especially in building automated data solutions. Comfortable handling ambiguous business problems and translating them into reliable analytics. Experience collaborating in cross-functional teams. Hands-on experience developing and maintaining scalable data infrastructure.

Join almedia as an Analytics Engineer and become a vital part of our innovative team in Berlin. We are seeking a passionate individual who thrives on data-driven insights and is eager to leverage analytics to enhance our business strategies. In this role, you will analyze data from various sources, develop reports, and provide actionable insights to drive business performance.

Join N26, a leading fintech company, as a Product Manager specializing in Data Governance and Analytics Engineering. In this role, you will be at the forefront of shaping data strategies that enhance our product offerings and drive business intelligence. You’ll collaborate with cross-functional teams to ensure data integrity, compliance, and analytics efficiency. Your expertise will be pivotal in guiding our data initiatives, optimizing processes, and delivering actionable insights that empower our stakeholders.

haufegroup seeks a Senior Data Engineer in Freiburg im Breisgau to help shape and maintain the company’s data infrastructure. This role centers on building solutions with Snowflake and AWS, making it easier for teams to access and use data for business analytics. What you will do Design and implement data architectures using Snowflake and AWS tools Collaborate with colleagues across departments to improve data workflows Strengthen and support analytics capabilities throughout the organization Key technologies Snowflake AWS Business analytics platforms

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.

Role overview WPP Media seeks a Lead Data Analytics Expert to join the team in Dusseldorf, Frankfurt, or Munich. The position centers on advanced data analysis and strategic insight to drive business growth and enhance client services. What you will do Collaborate with cross-functional teams to identify trends within data sets. Present findings as clear, actionable recommendations for clients and colleagues. Contribute to decisions that strengthen company operations and client value. Location options Dusseldorf, Germany Frankfurt, Germany Munich, Germany

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!

Grafana Labs is hiring a People Analytics Analyst to work remotely from anywhere in Germany. This role centers on using workforce data to inform HR strategies and support decision-making throughout the company. Key responsibilities Analyze HR and workforce data to identify trends and patterns Work with teams across different functions to provide actionable insights Contribute to improving employee experience and organizational results through data-based recommendations Remote in Germany This position is fully remote and open to candidates based in Germany.

We encourage you to submit your CV in English and to indicate your proficiency level in the language.Mindrift connects skilled professionals with project-based AI opportunities for leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. This is a project-based role, not a permanent position.Key Responsibilities:Design innovative computational data science problems that replicate real-world analytical processes across various sectors including telecom, finance, government, e-commerce, and healthcare.Create programming challenges requiring Python to solve, utilizing libraries such as Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn.Ensure challenges are computationally demanding, requiring significant processing time (days/weeks) that cannot be accomplished manually.Develop complex problems that necessitate advanced reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.Formulate deterministic problems yielding reproducible answers, steering clear of stochastic elements unless fixed random seeds are used for precise reproducibility.Base challenges on actual business scenarios, such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.Design comprehensive problems that encompass the full data science pipeline, from data ingestion through cleaning, exploratory data analysis (EDA), modeling, validation, to deployment considerations.Integrate big data processing scenarios requiring scalable computational methods.Validate solutions using Python with standard data science libraries and statistical techniques.Document problem statements clearly, providing realistic business contexts and verified correct answers.Qualifications:This role is ideal for Data Science specialists proficient in Python, seeking part-time, non-permanent projects. The ideal candidate will possess:5+ years of practical data science experience demonstrating significant business impact.A portfolio of completed projects and publications that showcase real-world problem-solving capabilities.Expertise in Python programming for data science, including libraries such as Pandas, Numpy, Scipy, and Scikit-learn.Strong capabilities in statistical analysis and machine learning, with a deep understanding of algorithms, methods, and their practical applications.Proficiency in SQL and database operations for data manipulation and analysis.Experience with GenAI technologies, including LLMs, RAG, prompt engineering, and vector databases.Familiarity with MLOps practices and model deployment workflows.Knowledge of modern frameworks such as TensorFlow, PyTorch, and LangChain.Excellent written English skills (C1+ level).Application Process:Apply → Pass qualification(s) → Join a project → Complete tasks → Get compensated.

Join our dynamic team at Pergolux as a Senior Analytics Engineer, where you will play a pivotal role in shaping the analytics landscape of our Finance & Operations sector. In this position, you will leverage your extensive analytical skills to drive data-driven decisions, optimizing our processes and enhancing operational efficiency.Your expertise will be critical in collaborating with cross-functional teams to develop robust analytics solutions, ensuring the seamless integration of data insights into our business strategies. If you are passionate about data and analytics and are ready to take on challenges in a global environment, we invite you to apply!

UNLOCK YOUR CAREER POTENTIAL As Europe's largest savings platform, Trade Republic is on a mission to revolutionize financial access across 17 countries, proudly serving over 8 million customers and managing assets exceeding €100 billion. We are driven by the desire to empower individuals to accumulate wealth through seamless, secure, and cost-free access to financial services. Join us in shaping a positive financial future for millions, and take your career to new heights by collaborating with a team of exceptional talents and cutting-edge technology. YOUR ROLE AND RESPONSIBILITIES As an Analytics Engineer, you will play a crucial role within our product delivery team, focusing on data ingestion, modeling, and dissemination to drive business growth. Your key responsibilities will include: Collaborating with product and business stakeholders to define impactful product metrics. Creating analytical products such as data models, dashboards, and reports to facilitate self-service reporting and analysis. Enhancing our evolving cloud-based architecture to prioritize cost efficiency and performance, while implementing best practices in software engineering. Owning projects from initial scoping through to delivery and adoption, working independently. WHAT WE SEEK IN YOU A minimum of 5 years of engineering experience with a strong analytical mindset. Comprehensive understanding of architectural design principles and engineering best practices. Experience with all stages of the data lifecycle: ingestion, transformation, and mart creation. Familiarity with our technology stack is a plus: S3, Snowflake, Airflow, Python, DBT. WHY JOIN US NOW We foster a culture of ownership, excellence, and energy. Our commitment to outcomes and accountability drives us to tackle one of Europe’s biggest challenges: closing the pension gap and democratizing wealth. If this mission resonates with you, we encourage you to reach out!