Top Data Engineer Jobs in Germany

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.

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

N-iX seeks a Data Engineer with MLOps experience to create scalable ML pipelines, deploy models, and contribute to best practices in data engineering and coding.

Join our 2026 Tech Grad Program as a Data Engineer l, contributing to tech solutions and learning from experienced engineers in a collaborative environment.

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

As a Data Engineer, you will design, build, and maintain scalable data pipelines and ETL processes using SQL and Python, manage data infrastructure components, optimize data systems for performance, and ensure data quality and compliance standards.

The Data Engineer will develop and evolve the Microsoft Azure platform for big data, build cloud solutions, analyze medical device data, collaborate with teams, and improve skills with the latest technologies.

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

Design, build, and optimize scalable data platforms using Azure and Databricks. Responsible for developing ETL/ELT pipelines, maintaining data quality, and collaborating with analytics 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.

Design and maintain data platforms, optimize workflows, and collaborate with stakeholders to meet data requirements using modern technologies.

The Senior Data Engineer will design and implement scalable data pipelines and optimize data architecture for Data & AI initiatives, ensuring high performance and security.

As a Data Engineer, you'll design and maintain ETL pipelines, write TypeScript code, and collaborate with stakeholders to ensure data quality and performance.

Join GetYourGuide as a Data Engineer, designing and evolving the core data platform, optimizing data pipelines, and ensuring performance and reliability of the data ecosystem.

The role involves building and scaling data pipelines, ensuring efficient data flow for ML model training and evaluation, and collaborating on data needs.

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 Data Engineer will design and build data features, maintain data pipelines, ensure data quality, and collaborate with product engineers on data workflows.

As a Senior Data Engineer, you'll own the data stack, build data pipelines, and collaborate in a data-driven culture to support decision-making.

The Senior Data Engineer will develop scalable cloud-based data solutions, build data pipelines, ensure data quality, and collaborate within data and product teams.

Design, build, and maintain scalable data pipelines using Azure technologies. Optimize data integrity and performance for BI and AI use cases while collaborating in workshops to deliver tailored solutions.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

The Data Engineer is responsible for designing and building APIs, developing data pipelines, ensuring system reliability, and collaborating on technical solutions for business outcomes.

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

The Senior Data Engineer will design and build high-performance data pipelines, ensuring data quality for AI applications, and promote best practices in data products optimized for machine learning.