Top Data Engineer Jobs in Germany

Design and build data processing pipelines for Zeta's AdTech platform focusing on performance, reliability, and real-time data delivery while collaborating across teams.

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

As a Data Engineer at GALVANY, you'll architect data infrastructure, process real-time energy data, build scalable data pipelines, and ensure data quality for an AI-based Operating System.

The Data Engineer will design and implement scalable data solutions, optimize ETL processes, and ensure data quality and compliance for a logistics network.

Develop and maintain scalable data infrastructure and ETL pipelines, support machine learning applications, ensure data quality, and collaborate on data models.

The Data Engineer will design and maintain data pipelines and backend services, utilizing Python and cloud platforms to enhance data processing and performance.

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.

The job is for a Senior Data Engineer position, focusing on data handling and engineering tasks. It requires expertise in data technologies and offers opportunities for professional development.

As a Senior Data Engineer, you'll design and maintain complex data applications, build ETL workflows, and lead teams to derive insights from large datasets.

As a Senior Data Engineer, you'll design and maintain data applications, develop data pipelines, and lead a multi-disciplinary team in an agile environment. Your expertise in structured and unstructured data will drive insights for critical global missions, requiring TS/SCI clearance and significant experience in application development and data engineering.

As a Data Engineer, you will design and maintain Power BI dashboards, integrate data from various sources, and support operational decisions across EMEA.

The Data Engineer will design, build, and maintain scalable data platforms, collaborate with stakeholders, and optimize data workflows.

As a Data Engineer, you will design and maintain data platforms, collaborate with teams, and optimize workflows while leveraging modern data technologies.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

Build and maintain scalable ETL/data pipelines and orchestration for content publishing, optimize and monitor data infrastructure, automate processes, and collaborate with data and content teams.

The Data Engineer is responsible for data collection, analysis, and visualization to optimize manufacturing processes and ensure compliance, while communicating insights to stakeholders.

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 building and maintaining data pipelines using various technologies, collaborating with stakeholders, monitoring data health, and promoting team knowledge sharing.

As a Senior Clinical Data Science Programmer, you will design and implement data pipelines, ensuring data integrity and collaboration with various users in a fully remote environment.

The (Senior) Data Engineer designs and maintains data pipelines, collaborates with clients on data needs, and develops dashboards for insights.

The Data Engineer will develop statistical models and algorithms, analyze complex data for insights, and enhance performance models using machine learning.

The Data Processing Engineer will conduct vehicle safety tests, parameterize and troubleshoot control devices, and analyze generated test data, supporting the testing process.

As a Data Engineer, you will design and implement data pipelines, improve ETL processes, and ensure high performance of data infrastructure, while collaborating with clients to meet their goals.

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.

As a Data Engineer, you will build and maintain data pipelines, collaborate with product and data teams, and ensure data quality. You will leverage your expertise in SQL and Python to create reliable datasets that support business decisions, while participating in team planning and fostering a collaborative environment.