Data Engineer Jobs in Baden-Wurttemberg, Germany

Data Engineering team at Booz Allen Hamilton builds advanced data pipelines and platforms to transform structured and unstructured data for mission‑critical projects such as fraud detection, cancer research, and national intelligence. The Data Engineer designs, develops, operationalizes, and maintains scalable ETL/ELT workflows, collaborates with analysts, developers, and data consumers, and ensures data platforms are robust and performant.

Booz Allen Data Engineering team builds advanced data pipelines and platforms to turn diverse data into actionable insights for mission‑critical projects. The Data Engineer designs, develops, and maintains scalable ETL/ELT workflows, guides multidisciplinary analysts and engineers, and creates scripts to convert and monitor data streams.

Data Engineering team at DYMATRIX builds scalable cloud data pipelines and warehouses to enable business intelligence across the enterprise. The Senior Cloud Data Engineer designs, implements, and optimizes data ingestion, transformation, and storage solutions on AWS and GCP, working closely with analysts and data scientists.

Data Engineering team at DYMATRIX GmbH builds scalable data pipelines and AI-ready data platforms for enterprise analytics. The Senior AI Data Engineer designs, implements, and optimizes data ingestion, transformation, and storage solutions, collaborating with data scientists to enable advanced AI models.

Data Engineering team at DYMATRIX GmbH focuses on building robust data pipelines and business intelligence solutions for clients. The consultant designs, implements, and optimizes data ingestion, transformation, and analytics workflows, collaborating with stakeholders to ensure data quality and performance.

Data Engineering team at DYMATRIX builds scalable cloud data pipelines and BI solutions to enable data‑driven decision making. The Junior Cloud Data Engineer will develop, test, and maintain ETL workflows on cloud platforms, collaborate with senior engineers to optimize data models, and support reporting needs.

Booz Allen Hamilton - TEAMS business builds AI-driven solutions for defense customers. As a Data Engineer you will train, test, deploy and maintain machine learning models, own mission‑critical solution direction and guide clients on ML algorithms and frameworks.

Booz Allen Hamilton's Data Engineering team builds intelligent data pipelines and AI/ML solutions for mission-critical projects. The role designs, develops, and operationalizes scalable data and machine learning applications, collaborating with analysts, engineers, and developers in an agile environment.

Data Analytics & AI – Data Management and Governance team at Agile Defense builds scalable AI-enabled data solutions for DoD missions. The Data Engineer designs, develops, and deploys data pipelines, feature engineering, and ML services in secure, containerized environments, collaborating with product managers, developers, and mission stakeholders.

Data Engineer at Booz Allen Hamilton Germany builds advanced data pipelines for mission‑critical projects such as fraud detection, cancer research, and national intelligence. The role designs, deploys, and maintains scalable ETL/ELT workflows, guiding a multidisciplinary team of analysts, developers, and data consumers in an agile environment.

Data Engineer at Booz Allen Hamilton Germany, building advanced data pipelines for mission‑critical projects such as fraud detection and national intelligence. The role designs, deploys, and maintains scalable ETL/ELT workflows, guiding a cross‑functional team of analysts, developers, and data consumers in an agile environment.

Senior Data Engineer to build and maintain scalable data pipelines and platforms for mission‑critical projects in fraud detection, cancer research, and national intelligence. Requires 5+ years in data engineering or data science, 3+ years in Python, SQL, or TypeScript, and 3+ years building ETL/ELT workflows.

Data Engineer, Senior at Booz Allen Hamilton builds and maintains scalable data pipelines and platforms, designs complex enterprise data applications, retrieves and processes structured and unstructured data with Python, SQL, and TypeScript, builds ETL/ELT workflows for analytics, collaborates with cross-functional teams, develops scripts for data conversion and platform scaling, and ensures reliability and performance.

Data Engineer, Senior role at Booz Allen Hamilton-TEAMS in Stuttgart. Lead design, development, and operation of enterprise‑scale data pipelines and platforms.

Agile Defense seeks a Data Engineer to design, develop, and deploy scalable AI-enabled data solutions for the Department of Defense’s CDAO ADA IR program. The role involves building data pipelines, feature engineering, and machine learning services in secure, containerized environments, collaborating with product managers, full‑stack developers, and platform engineers.

Data Engineer, Senior at Booz Allen Hamilton-TEAMS business. Responsible for building advanced technology solutions, deploying pipelines, and managing scalable data platforms for mission-driven projects such as fraud detection, cancer research, and national intelligence.

Data Engineer, Senior at Booz Allen Hamilton-TEAMS business. This role focuses on organizing and extracting insights from large structured and unstructured data sets across mission‑driven projects such as fraud detection, cancer research, and national intelligence.

Data Engineer, Senior at Booz Allen Hamilton-TEAMS business in Stuttgart, Germany. Responsible for designing, developing, operationalizing, and maintaining complex data applications at enterprise scale.

Data Engineer, Senior at Booz Allen Hamilton-TEAMS business in Stuttgart, Germany. Responsible for designing, building, and maintaining data pipelines for Publicly Available Information (PAI) and other datasets.

TRUMPF EUV Lithography team builds high‑power CO2 laser systems for semiconductor manufacturing. The Data Engineer develops, deploys and continuously improves cloud‑based data pipelines across the product lifecycle, collaborates with R&D, production and service experts to create condition‑monitoring and predictive‑maintenance solutions, and transforms analytical algorithms into scalable cloud applications handling large volumes of machine and signal data.