Top Data Engineer Jobs in Germany

As a Senior Software Engineer at ClickHouse, you'll enhance the Python data ecosystem by creating tools and integrations for data practitioners, focusing on performance and reliability while collaborating with various teams.

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.

The Data Storage and Recovery Administration Engineer oversees enterprise SAN/NAS systems using NetApp and Cisco MDS, ensuring data availability and disaster recovery, including backup strategy and performance optimization.

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

The role involves scaling the Feature Store, ensuring data quality, optimizing pipelines, and bridging data science with backend engineering in a mobile ad tech environment.

The (Senior) Data & AI Engineer designs and maintains scalable data platforms, builds data pipelines, and advises customers on data solutions while collaborating with stakeholders and optimizing data workflows.

As a (Senior) Data & AI Engineer, you will design, build, and maintain data solutions, optimize data pipelines, and collaborate with stakeholders.

As a Senior Data Engineer, you'll build and manage data pipelines, ensure data quality, and collaborate across teams, contributing to the Data Platform's growth.

The Data Handling Architect will oversee the end-to-end development of spacecraft Data Handling Systems, focusing on Mass Memory Formatting Units, ensuring optimal system design, interface coordination, and validation processes for satellite missions.

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.

The Technical Privacy Expert will implement privacy-by-design principles, ensure compliance with regulations, mentor teams, and develop technical frameworks for privacy in technologies.

As a Lead Data Engineer, you'll design and implement data solutions, guide project teams, ensure high-quality delivery, and collaborate with stakeholders to meet business needs.

As a Lead Data Engineer, you will design and implement data solutions, guide teams, and optimize data workflows, aligning them with business goals.

The Staff Engineer will define architecture, lead data pipeline design, ensure platform reliability, and mentor engineers, driving data initiatives and technical standards.

The Data Engineer will design and maintain data pipelines, optimize ETL processes, ensure data quality, and collaborate in an agile environment.

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

Design and implement search retrieval and ranking systems, build data pipelines, and evaluate performance metrics. Collaborate with teams to enhance system relevance.

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

The Senior Data Engineer will build and maintain data pipelines and knowledge systems for AI automation, ensuring data quality, integration, and collaboration with engineering teams.

As a Senior AI Engineer, you will design and maintain data pipelines, curate datasets, ensure data quality, and run experiments to improve model outcomes, particularly for German-language data.

The Founding Engineer will own the end-to-end intelligence pipeline, build AI workflows, manage data architecture, and solve technical challenges in a startup environment focused on pharma solutions.

Join Cellbyte as an AI Engineer to build AI and data systems, solve complex problems, and turn pharma workflows into AI-native systems.

As a Full-Stack ML Engineer, you will develop backend services, data pipelines, and customer-facing UIs while leveraging ML. You'll manage the software lifecycle and write code in Python and Typescript.

As an Infrastructure Engineer, you'll manage data infrastructure, enhance automation, ensure platform reliability and collaborate with internal teams for data needs.

The role involves maintaining EUMETSAT Copernicus software, correcting anomalies, optimizing performance, and documenting the code while working collaboratively in a team.