Top Data Engineer Jobs in Germany

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

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

This role involves data collection for model training, operating cloud infrastructure, and collaborating with AI teams to enhance data quality and throughput.

Responsible for data collection to support model training operations, enhancing data ingestion pipelines, and collaborating on dataset roadmaps.

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.

The role involves defining and designing the Flight Control System architecture, managing requirements, and collaborating with suppliers and internal teams.

The Data Centre Engineer is responsible for day-to-day operations, project management, equipment installation, and vendor coordination in a fast-paced data center environment.

The GIS Data & Software Engineer develops GIS data management workflows, integrates tools for database generation, and automates the visual database process while ensuring data quality and documentation.

Join Zencore as a Senior Data Engineer, leveraging Google Cloud expertise and technology strategies to assist clients with data and application modernization.

The Senior Data Science Engineer will develop and deploy machine learning solutions focused on demand forecasting and optimization for a fleet management platform, ensuring reliability and impact, while working with various stakeholders.

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

As a Senior Data Engineer, you will build and integrate data products, design data flows, and ensure data accessibility for analysis. You will utilize cloud technologies and collaborate across teams to enhance dealer products.

Design, build, and maintain a trusted semantic layer and reusable data models (dimensions, facts, metrics). Translate business logic into clear data specs, improve model reliability with testing and lineage, drive adoption across teams, standardize modelling conventions, and enable self-serve analytics for product, GTM, and finance stakeholders.

Design and implement core YTsaurus functionality in C++, build and evolve platform-level capabilities, improve APIs and UX for internal users, own production quality including incident response/on-call, and collaborate with stakeholders to prioritize and deliver scalable data platform features.

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 Software Engineer, you will build and maintain high-performance data integrations for ClickHouse, focusing on JVM-based frameworks and collaborating with the community on data ecosystem solutions.

The Senior AI Engineer will design scalable AI systems, focusing on LLM-powered agents and automation, optimizing delivery operations globally.

The Staff/Lead Fullstack Engineer will enhance the Mimica Webapp by architecting scalable UI components, managing large datasets, and optimizing performance while collaborating with cross-functional teams.

The Data Engineer will develop statistical models, analyze complex data, identify insights for performance optimization, and support machine learning model development.

The Senior Data Engineer will own and architect the telemetry ecosystem, ensuring data quality and collaborating with product teams to drive insights.

Lead end-to-end data engineering for supply-side products: build reliable pipelines, data models and observability; partner with Supply, Product and Data; improve production systems; mentor engineers and shape best practices for scalability, quality, performance, and cost-efficiency.

As a Staff Data Engineer at Qonto, you'll design scalable data architecture, ensure data quality, and bridge ML teams with platform engineering to support AI product development.

As a Data Platform Engineer, you will architect and build high-performance data platforms focusing on distributed computing, ETL processes, and metadata modeling, collaborating closely with the CTO and product team.

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