Top Data Engineer Jobs in Germany

As a Data Engineer, build and manage data pipelines, ensure data quality, and support analytics for trading. Collaborate with teams to define data needs and best practices for infrastructure and applications.

As a Data Operations Engineer, you will ensure data infrastructure reliability, optimize data pipelines, and automate operations using cloud technologies, primarily in Python and SQL.

As a Data Engineer, you will design data pipelines, implement storage solutions, refine data warehouse systems, and analyze infrastructure performance.

As a Data Engineer, you will work on designing and maintaining ETL pipelines, support data scientists, ensure data quality, and collaborate closely with teams to enhance data processing workflows.

Collaborate with teams to design and build data products, manage data models, ensure data quality, and deliver complex data engineering projects.

Join FREENOW as a Senior Data Engineer, working on a Data Mesh architecture, collaborating with cross-functional teams and developing scalable data solutions.

As a Data Engineer, you will develop and maintain data pipelines using DBT on Snowflake, ensuring high-quality data processing for analytics and reporting.

Develop and maintain AWS-based data processing pipelines, create data models for analytics, and collaborate with data teams and stakeholders to enhance features and ensure data quality.

Develop cloud-based data solutions, design data pipelines, and create data models for analytics and AI use cases, working with diverse teams.

Develop and implement core algorithms and back-end data pipelines, optimize system performance, and ensure data quality for cargo tracking in the maritime sector.

As a Trading Data Engineer, you will develop models for power demand and pricing, build data pipelines, and collaborate with trading teams.

Design and build data pipelines and systems that support AI-driven insights and analytics, collaborating with cross-functional teams.

As a Data Engineer, you will design, build, and support data warehouse components, conduct data analysis, and collaborate on projects involving ETL processes and performance optimization.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

The AI Tooling & Data Engineer will build and maintain tools for AI workflows, ensuring data quality, automating processes, and collaborating with AI teams.

As a Data Engineer, you'll design and maintain FINN's data platform and collaborate with teams to provide insights from data.

The Image Quality Data Engineer operates and optimizes satellite camera systems, manages image data quality, collaborates across teams, and develops metrics.

As a Data Engineer, you'll maintain and configure the Snowflake data platform, design integration pipelines, and innovate with new tools. Your role supports data security and performance while collaborating across teams.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

The role involves designing and maintaining data pipelines, ensuring data quality and governance, and collaborating on technical solutions in Azure environments.

As a Data Engineer, you will preprocess user data, manage data labeling workflows, and build moderation datasets for AI model training.

As an ML Engineer, design and deploy machine learning solutions, collaborate across teams, and ensure effective integration and scalability of AI systems.

As a Data Engineer at Nansen, you will build and optimize systems for their customer-facing analytics product, collaborating closely with crypto researchers and engineers to tackle large-scale data challenges and ensure data quality and reliability.

The Data Engineer will build and maintain data infrastructure, manage ETL platforms, ensure data quality, and mentor DevOps teams while collaborating cross-functionally.

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.