Top Data Engineer Jobs in Germany

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.

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.

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.

Design, build, and maintain backend services and automation for data pipelines and internal tooling. Integrate AI/ML features, own CI/CD and observability, lead code reviews, and collaborate with cross-functional teams to ensure scalable, reliable production systems.

The Software Engineer will focus on maintenance and enhancement of Earth Observation Data Processing systems using C++. Responsibilities include SW integration, validation, testing, packaging, installation, and coding to refine existing systems based on mission needs.

Develop and maintain scalable data streaming products, contribute to backend services and SDKs, mentor team members, and improve tech-debt in an agile environment.

As a Senior Data Engineer, you will architect and scale data platforms with Databricks, manage data pipelines, ensure data quality, and collaborate with teams on data-driven solutions.

The role involves developing AI platforms, mentoring engineers, optimizing solutions, and contributing to the overall product strategy for Snowflake's AI tools.

The role involves market analysis, concept development for signal transfer systems, customer requirement validation, document creation, and technology development in data and signal transfer.

As a Senior Staff Data Engineer, you will lead data engineering practices, establish best practices, mentor teams, and design secure data solutions. Collaboration with various teams is essential to align on goals and ensure compliance with data regulations.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

As a Senior Data Engineer, you'll build scalable solutions for the Data Platform, develop ETL processes, ensure data quality, conduct data modeling, and guide junior engineers.

Design and develop a platform to enhance simulation and stellarator design processes, manage cloud infrastructure, and improve DevOps practices.

As a Software Engineer, you will develop and optimize real-time data pipelines for athlete tracking, ensuring high-performance software solutions for sports analytics.