Top Data Engineer Jobs in Germany

As a Data Engineer at Superhuman, you'll design and implement data systems, ensuring scalability and security for handling billions of daily events, while collaborating across teams and mentoring engineers.

The Data Engineer will develop and optimize ETLs/ELTs, manage data workflows, collaborate with teams, and ensure data quality and security.

As a Data Engineer, you'll design, develop, and maintain complex data applications and ETL workflows, utilizing diverse data sources for analytical insights.

As a Data Engineer at Veeva Link, you will design and maintain data pipelines for healthcare data, ensuring data integrity and optimizing AI-assisted development processes.

Develop, deploy and improve cloud-based data pipelines for high-power laser systems. Collaborate with R&D, production and service teams to build condition monitoring and predictive maintenance solutions, transform analytics into scalable cloud applications handling large machine and signal data, and maintain cloud data infrastructure with architects, IT teams, customers and suppliers.

Build and maintain scalable data pipelines, transformations, and analytics-ready models using dbt, SQL, Python, and Snowflake. Implement ingestion, CDC, API integrations, testing, monitoring, and observability. Collaborate with analysts and stakeholders to define metrics, ensure data governance and compliance, and optimize data platform reliability.

Design, build, and operationalize scalable AI/ML applications and data pipelines. Retrieve, parse, and process structured and unstructured data to support model training and deployment. Code in Python or TypeScript, collaborate with cross-functional teams, and maintain enterprise-scale ML systems. Support monitoring, scaling, and operation of AI/ML platforms while working on mission-driven projects requiring a Top Secret clearance.

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.

Build and own Python ML data pipelines, feature store design, and model serving infrastructure. Implement data quality and drift detection, establish reusable pipeline patterns, and operate production data systems to support ML training and inference.

Design, build, and improve scalable cloud-native data pipelines and architectures using Azure/Databricks and big-data tools. Collaborate with teams to deliver reliable, high-performance ETL, enforce data quality, and adopt CI/CD practices for data deployments.

Design, build, and optimize scalable cloud-native data pipelines and architectures using Azure and Databricks. Develop DBT models, ensure data quality, apply CI/CD practices, collaborate with stakeholders, and support Data & AI initiatives across finance, e-commerce, pharma, and supply chain domains.

The Data Engineer will design and maintain scalable data pipelines, optimize data infrastructure, monitor data quality, and enable analytics capabilities, ensuring alignment with business goals.

Design, build, and operate enterprise reporting and analytics platforms. Create scalable ELT/ETL pipelines, master data foundations, and lakehouse/warehouse semantic models. Deliver Power BI datasets and dashboards, implement data quality, governance, DevOps practices, and cost-management data solutions. Partner with finance and stakeholders and provide technical leadership across architecture, deployment, and run-state support.

Design, build, and maintain scalable data pipelines and storage for fraud detection. Support fraud analytics, feature engineering, model integration and serving, pipeline monitoring, and documentation. Collaborate with data, product, and engineering teams to enable detection, reporting, and operationalisation of fraud models.

Responsible for deploying and maintaining data center infrastructure, troubleshooting hardware and network issues, managing inventory, and setting up data centers.

The Data Engineer will build data pipelines for materials science, ensuring data quality and collaborating with ML researchers while managing large datasets.

As a Software Engineer on the Data Operations team, you'll shape data architecture, develop scalable systems, and guide engineering practices across products. You'll collaborate with cross-functional teams and mentor other engineers, overseeing data operations and engineering initiatives.

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.

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

As a Data Analyst at Air Apps, you'll analyze user behavior and product performance, create reports and dashboards, and provide actionable insights using data visualization tools and programming languages.

As a Data Engineer, you will manage laboratory and clinical data projects, building machine learning models and supporting data analytics in the life sciences domain.

Design and build agentic systems and production infrastructure for an AI-driven financial intelligence platform. Integrate LLMs, manage prompts and tool-calling, develop RAG and retrieval systems, build MCP servers and observability, run LLM evaluation pipelines, optimize performance and cost, and mentor junior engineers.

Design, develop, and maintain ETL mappings, workflows, and transformations using Informatica PowerCenter and PowerExchange. Integrate data across Oracle, DB2, Snowflake, Linux, and mainframe systems, optimize performance, automate ETL operations with shell scripts, and support production operations and incident management. Translate business requirements into scalable data integration solutions and collaborate on data warehousing and reporting needs.

Develop, deploy and maintain ETL pipelines to gather, validate and transform data from APIs and web sources. Work with the data engineering team to run and improve pipelines on a Dagster/BigQuery platform, ensure best coding practices, document workflows, and help maintain high data quality for clean energy datasets.

The Data Engineer will design and maintain data pipelines and backend services, utilizing Python and cloud platforms to enhance data processing and performance.