Data Engineer Jobs in Saarland, Germany

Data Engineering team at Jedox builds and operates the enterprise data platform that powers finance, sales and analytics across the company. The role designs, develops and runs a Microsoft Fabric lakehouse, creates batch and streaming ETL pipelines, integrates systems like Salesforce and SharePoint, and prepares data for AI use cases such as vector‑ready datasets.

Data Engineering team at Booz Allen Hamilton focuses on building mission‑critical data pipelines and AI‑enabled analytics. The Data Engineer designs, develops, and operationalizes large‑scale data applications, collaborates with analysts and developers, and drives end‑to‑end analytic solutions.

Data Engineering team at Booz Allen Hamilton focuses on building data pipelines and workflows to enable AI-driven insights for mission-critical projects. The role designs, develops, operationalizes and maintains enterprise‑scale data applications, collaborates with analysts, developers and data consumers in an agile environment, and may travel up to 25% to client sites.

Data Engineer at Booz Allen Hamilton Germany, part of the mission‑driven Data Engineering team focused on applied production AI. The role builds and maintains scalable data pipelines, guiding analysts, developers, and data consumers in an agile environment to deliver actionable insights for defense clients. Based in Ramstein‑Miesenbach, the position is onsite with occasional travel to customer facilities.

Data Engineer at Booz Allen, building mission‑driven data pipelines for applied AI. Day‑to‑day, you design, deploy, and maintain enterprise‑scale analytics solutions while guiding a cross‑functional team of analysts, developers, and data consumers. Located in Ramstein‑Miesenbach, Germany, the role is on‑site with a focus on rapid, agile delivery.

Data Engineer needed to build and maintain data pipelines for mission‑driven projects, focusing on applied production AI. Deploy and develop workflows that organize disparate data, guide a multidisciplinary team, and manage analytic solutions for clients.

Design, build, and maintain enterprise‑scale data pipelines and analytics solutions for Booz Allen missions. Lead data engineering activities, collaborate with cross‑functional teams, and operationalize data applications using Python, SQL, Scala, or R. Manage data visualization and geospatial tools, and support AI and machine learning initiatives.

Data Engineer at Booz Allen Hamilton-TEAMS business will design, develop, and maintain enterprise-scale data pipelines and analytics solutions. The role focuses on applied production AI, working with a multidisciplinary team of analysts, developers, and data consumers in an agile environment.

Data Engineer at Booz Allen Hamilton-TEAMS business responsible for designing, developing, and maintaining data pipelines and analytics solutions for mission-driven projects. Leverages Python, SQL, Scala, R, and data visualization tools (Tableau, Qlik, Power BI, ArcGIS) to transform disparate data into actionable insights.

Data Engineer at Booz Allen Hamilton-TEAMS business responsible for designing, developing, and maintaining data pipelines and analytics solutions for mission-driven projects. Leverages Python, SQL, Scala, R, and visualization tools to transform disparate data into actionable insights.

Data Engineer at Booz Allen Hamilton-TEAMS business responsible for designing, developing, and maintaining data pipelines and analytics solutions for mission-driven projects. Leverages Python, SQL, Scala, R, and visualization tools like Tableau, Qlik, Power BI, ArcGIS to transform disparate data into actionable insights.

Data Engineer at Booz Allen Hamilton-TEAMS business responsible for designing, developing, and maintaining data pipelines and analytics solutions for mission-driven projects. Leveraging expertise in Python, SQL, Scala, and R, the role focuses on organizing structured and unstructured data from diverse sources to enable AI-driven insights.

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources.

Data Engineer at Booz Allen Hamilton-TEAMS business responsible for designing, developing, and maintaining data pipelines and analytics solutions for mission-driven projects. Leverages Python, SQL, Scala, R, and data visualization tools to transform disparate data into actionable insights.

Data Engineer at Booz Allen Hamilton-TEAMS business will design, develop, and maintain data pipelines and analytics solutions for mission-driven projects. The role involves deploying data engineering activities, building workflows, and guiding a multidisciplinary team of analysts, engineers, and developers in an agile environment.

Data Engineer at Booz Allen Hamilton-TEAMS business responsible for designing, developing, and maintaining data pipelines and analytics solutions for mission-driven projects. Leverages Python, SQL, Scala, R, and visualization tools to transform disparate data into actionable insights.

Data Engineer at Booz Allen Hamilton-TEAMS business will design, develop, and maintain data pipelines and workflows to support mission-driven projects. The role focuses on applied production AI, leveraging Python, SQL, Scala, or R, and data visualization tools such as Tableau, Qlik, Power BI, or ArcGIS.

Data Engineer, Senior

Data Engineer role at Booz Allen Hamilton focuses on building and maintaining data pipelines and workflows to transform structured and unstructured data into actionable insights for mission-critical projects. The position requires strong programming skills, experience with data engineering tools, and the ability to lead cross-functional teams in an agile environment.

Worldwide Operations Finance Standardization & Automation (S&A) team builds a reliable data platform for global finance customers, enabling trustworthy analytics and AI-driven insights. The Data Engineer designs, implements, and supports scalable data pipelines and warehouses using Python, Spark, SQL, and AWS services, collaborating with finance, product, and BI teams to meet reporting and data quality needs.