Top Data Engineer Jobs in Germany

Develop, train, test, deploy, and maintain machine learning models and data solutions. Define direction for mission-critical ML systems, collaborate with engineers, and support senior military customers at AFRICOM.

The Software Engineer will focus on data collection and integration for model training at Speechify, improving data quality and pipeline infrastructure.

This role involves data collection for model training, operating cloud infrastructure on GCP, and collaborating on data strategies for AI products.

Own and evolve Enode's data platform and pipelines to support the Flex product: build reliable datasets, ensure data quality and monitoring, enable self-serve analytics, and partner with data science on feature pipelines and model readiness. Drive pragmatic platform improvements, documentation, and tooling to scale data reliability and trust across delivery, billing, and reporting.

Build, operate, and maintain scalable data infrastructure on AWS and Kubernetes. Develop streaming and data platform components (Kafka, Snowflake), implement IaC (Terraform) and CI/CD (GitLab), add monitoring/alerting (Datadog), support stakeholders, participate in on-call rotations, and own features end-to-end to ensure reliable data availability for analytics and operations.

Lead delivery of end-to-end data and analytics solutions: build dimensional models, develop Power BI dashboards, perform exploratory analysis, design Azure-based data pipelines, capture client requirements, run scenario modelling, test and assure solutions, prepare client communications and lead project teams.

Lead data and analytics projects: design dimensional models, build Power BI dashboards, run exploratory analysis, capture client requirements, develop end-to-end data pipelines on Azure, test and assure solutions, support client decision-making, and contribute to business generation and people development.

Design and maintain scalable data pipelines and platforms, lead migration from Snowflake to client service, propose improvements, drive initiatives, and collaborate with senior engineers, product/project managers, and data analysts.

Design, build, and maintain cloud-native geospatial data platform services using Spark and C#. Implement RESTful OpenAPI APIs, automate workflows with Python, manage SQL/NoSQL databases, and develop CI/CD and containerized deployments. Ensure scalability, performance, and reliability while collaborating across frontend, DevOps, and data teams and contributing to architecture and testing.

As a Senior Data & AI Engineer, you'll advise clients on data and AI solutions, analyze requirements, design tailored data solutions, and collaborate with project teams to deliver results.

Join the AI & Biometrics team to develop a resilient data platform for machine learning, focusing on data ingestion, transformation, and secure API development.

Build and operate a centralized Data Lakehouse: design and maintain end-to-end ELT/CDC pipelines with Databricks DLT, ensure data quality and governance via Unity Catalog, collaborate across teams, translate business needs into performant Lakehouse data products (Gold layer), and document best practices.

As a Senior Data Engineer, you will design scalable data pipelines, implement new technologies, collaborate with Data Scientists, and lead technical aspects while maintaining documentation on data processes.

As a Senior Data Engineer, you'll design, implement, and optimize scalable data pipelines and Data Lake architecture, collaborate cross-functionally, and ensure data reliability and quality in a rapidly growing AI-driven environment.

Lead technical solution architecture and application engineering for data center automation using robotics and partner technologies. Support presales, shape proposals, drive system integration, and ensure smooth transition from concept to execution. Capture feedback to improve standardized solutions and contribute to next-generation, AI-enabled automation concepts.

Design and maintain data warehouse systems, develop ETL pipelines, manage datasets for analytics, and implement real-time data solutions.

Architect and build a greenfield data warehouse, develop resilient ETL/ELT pipelines, ensure data integrity, and lead junior engineers. Work on modern data infrastructure with a focus on AI integration.

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

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

The role involves analyzing market requirements for data and signal transfer, developing concepts, validating signal transfer channels, and collaborating on electrical communication systems.

Lead mechanical design for data centre projects, manage teams, engage clients, mentor junior engineers, and incorporate industry advancements.

The Associate Director will lead mechanical design for data centres, manage project delivery, engage with clients, mentor junior engineers, and stay updated on industry trends.

The Associate Director will lead mechanical engineering design for data centre projects, manage project delivery, and mentor junior engineers while ensuring client satisfaction and incorporating innovative solutions.