Data Engineer Jobs in Grand Est, France

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.

R&D Data team at Everience, driving AI‑enhanced data pipelines for a global industrial leader. You will design, build and industrialize batch and real‑time data architectures, develop robust ETL/ELT pipelines, and integrate machine‑learning models with Data Scientists.

This internship offers a chance to join ArcelorMittal’s MInDS Team in Esch-sur-Alzette, working on data pipelines, Azure solutions, and analytics. Interns will design and maintain data workflows, apply DevOps practices, and collaborate with experts in AI, XR, and data technologies.

Data Transformation Team at Sopra Steria supports the end‑to‑end data modernization of financial services clients. The role designs, builds and validates data pipelines, creates multidimensional analyses and dashboards, and collaborates with business stakeholders to gather requirements and derive insights.

Data Transformation Team at Sopra Steria supports the end‑to‑end data modernization of financial services clients. The role designs, builds and validates data pipelines, creates multidimensional analyses and dashboards, and collaborates with business stakeholders to turn data into actionable insights.

Data Engineer Big Data – Expertise Vertica at CITECH, a leading data infrastructure provider. The role focuses on administering, optimizing, and scaling Vertica-based Big Data platforms, ensuring high availability and performance while supporting BI and data teams.

SFEIR, a leading tech community across France, Belgium, and Luxembourg, seeks a seasoned Data Engineer to partner with clients in transforming data assets into performance drivers. In this consulting role, you will design, build, and maintain custom ETL/ELT pipelines, orchestrate data flows from ingestion to data warehouses or lakes, and ensure scalability, security, and quality.

Kyndryl, a global technology services provider, seeks a Data Engineer to build and maintain data platforms that empower decision‑makers. The role involves designing data pipelines, cleansing and normalizing raw data, and ensuring high‑quality, harmonized datasets for the organization.

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.

Amazon University Talent Acquisition (AUTA) Data Engineer Internship supports the data infrastructure team in building scalable pipelines and data models for internal analytics. The intern will assist in developing ETL processes, optimizing data storage, and collaborating with senior engineers to ensure data quality.

Data Analytics Support Hub (DASH) Advanced Analytics team at Amazon builds scalable diagnostic and predictive analytics infrastructure for Customer Service. The Data Engineer builds and owns production pipelines for multi-contact journey analytics, transcript ingestion at worldwide scale, and LLM-serving datasets, integrating them with central platforms and ensuring data quality and real-time signals.

R&D / Data team at Everience develops major technology projects for a global industrial leader. The Data Engineer designs, builds and industrializes data pipelines to support AI and Data Science use cases, collaborating closely with Data Scientists to integrate ML models into production.

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.