Top Data Engineer Jobs in Munich

As a Senior Data Engineer, you design, implement, and maintain data pipelines and architecture, collaborating with clients to tailor solutions and drive insights.

As a Senior Data Engineer, you'll develop a cloud-based data platform, build data pipelines, and enable data-driven decision-making at Scalable Capital by integrating data from internal and third-party services.

Responsible for deploying and maintaining data center infrastructure, troubleshooting hardware and network issues, managing inventory, and setting up data centers.

The Data Engineer will develop scalable data processing solutions, facilitate data ingestion, and ensure data quality while mentoring junior engineers.

Join the Battery Science and Data team to design advanced battery diagnostics, develop algorithms for state estimation, and validate performance in lab and product pipelines.

The Data Engineer will architect and build data platforms, manage datawarehouses, support production systems, and collaborate with portfolio managers and developers to meet business needs.

As a Senior Software Data Engineer, you will enhance and create data processing pipelines, monitor performance metrics, and enforce security practices within the Roads team at Mapbox.

Design and maintain data pipelines while optimizing data warehouses, collaborating with analysts and scientists, and ensuring data integrity through quality measures.

The Specialist Solution Architect will provide technical expertise to enterprise customers, leading technical sales and presentations while owning the sales process.

The Junior Data Engineer will develop data processing pipelines, enhance data quality, manage ETL processes, and collaborate in an agile team environment to support data-driven decisions.

The Data Engineer will design and maintain scalable data pipelines, optimize data infrastructure, monitor data quality, and enable analytics capabilities, ensuring alignment with business goals.

The role involves analyzing data for insights, creating dashboards, and collaborating with teams to optimize product performance using SQL, Python, and visualization tools.

The Data Engineer will enhance data retrieval pipelines, expand market coverage, develop features, improve monitoring tools, support API performance, and work with cross-functional teams in a dynamic environment.

Design, build, and maintain scalable data transformation pipelines on Snowflake using DBT. Integrate diverse data sources (databases, files, HDFS, APIs), optimize DBT models, automate workflows, and support BI/reporting through monitoring and troubleshooting to ensure reliable data delivery.

Join the AI & Biometrics team to develop a resilient data platform for machine learning, focusing on data ingestion, transformation, and secure API development.

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

Architect and build a greenfield data warehouse, develop resilient ETL/ELT pipelines, ensure data integrity, and lead junior engineers. Work on modern data infrastructure with a focus on AI integration.

Own and scale the ingestion pipeline and backend abstractions for high-throughput AI tracing data. Optimize ClickHouse schemas and queries, operate Langfuse Cloud and self-hosted deployments, and build infrastructure-heavy features that enable product engineers to ship data-heavy capabilities.

Develop and integrate software for data processing and visualization to support engineering teams. Guide junior engineers, create web applications, and improve performance.

Develop and maintain healthcare data management systems, focusing on data APIs, microservices, and infrastructure while adhering to healthcare standards.

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.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

The role involves data collection to support AI model training, managing cloud infrastructure on GCP, and improving data ingestion processes.

The Lead Data Engineer will design and build scalable data pipelines on Databricks, develop ETL/ELT pipelines with PySpark, and mentor engineering teams for data transformation and analytics.