Data Engineer Jobs in Hauts-de-France, France

Data Engineering team at VISEO, building scalable, secure Snowflake pipelines for modern data platforms. The role designs, builds, and optimizes Snowflake architectures, orchestrates data flows with Airflow, DBT, Spark, and Python, and collaborates with BI, Data Science, and client teams to deliver high‑value insights.

Viseo’s Cloud Data Platform team builds modern data architectures on GCP to enable clients to adopt cloud data services at scale. The role designs and deploys BigQuery, Dataflow, Dataproc, and Looker pipelines, mentors junior engineers, and drives adoption through architecture studies and FinOps practices in Boulogne‑Billancourt, France, onsite.

Data Engineering team at Viseo builds and maintains robust, scalable data pipelines on Microsoft Azure. The role designs and implements modern data platforms using Azure Data Factory, Data Lake, Synapse, and Databricks, while ensuring security, quality, and governance.

Renault Group seeks a Data Engineer for its Data Factory team to design, develop, and optimize data pipelines on Google Cloud Platform. Responsibilities include enhancing Data Catalog and observability tools (Datapoint, Looker, BigQuery), modeling data products, ensuring data quality, and documenting solutions.

Data Engineer (F/H) – Thales, located in Meudon, France, invites a skilled professional to join the Biométrie & IA research team. The role focuses on structuring, securing, and optimizing data pipelines for machine learning research in biometrics.

DATA ENGINEER - H/F at Havas DBI (Puteaux, France) – a permanent CDI role. The Data Engineer designs, develops, and maintains data infrastructures for analytics and business teams.

Data Engineer Finance at Thales in Vélizy-Villacoublay. Agile, multidisciplinary team. Responsible for integrating, processing, exploiting massive data for compliance, audit, AML, financial risk.

Lieu : Vélizy-Villacoublay, France Construisons ensemble un avenir de confiance Thales est un leader mondial des hautes technologies spécialisé dans trois secteurs d’activité : Défense & Sécurité, Aéronautique & Spatial, et Cyber & Digital. Il développe des produits et solutions qui contribuent à un monde plus sûr, plus respectueux de l’environnement et plus inclusif.

Lieu : Vélizy-Villacoublay, France Construisons ensemble un avenir de confiance Thales est un leader mondial des hautes technologies spécialisé dans trois secteurs d’activité : Défense & Sécurité, Aéronautique & Spatial, et Cyber & Digital. Il développe des produits et solutions qui contribuent à un monde plus sûr, plus respectueux de l’environnement et plus inclusif.

Lieu : Vélizy, France Construisons ensemble un avenir de confiance Thales est un leader mondial des hautes technologies spécialisé dans trois secteurs d’activité : Défense & Sécurité, Aéronautique & Spatial, et Cyber & Digital. Il développe des produits et solutions qui contribuent à un monde plus sûr, plus respectueux de l’environnement et plus inclusif.

Thales seeks a Data Engineer GCP to join its Vélizy campus, leveraging Google Cloud Platform for AI and data processing. The role involves understanding business data needs, mapping and documenting data sources, and developing Python or Java/Spark pipelines.

Thales, leader in high-tech defense, aerospace, and cyber, seeks a Data Engineer DATAIKU to join its Vélizy campus. The role involves supporting business units in preliminary data processing, preparing and structuring datasets using Dataiku, integrating and visualizing data with Qlik Sense (or Qlik), and sharing best practices across teams.

IS Data Services at Axway, responsible for enterprise data and AI platforms, drives scalable, reliable data infrastructure and AI capabilities for decision‑making. The Data Engineering & AI Manager leads a multicultural team of ~7 engineers, overseeing platform architecture (Snowflake, dbt, Fabric), pipelines (Fivetran, Talend, Python) and MLOps practices, while ensuring governance, security, and performance.

IS Data Services team at Axway builds and modernizes the enterprise data platform, integrating cloud, real-time processing, and AI capabilities. The Data Engineer designs robust data models, develops and maintains ELT pipelines using Fivetran, SQL, Python, and dbt, and orchestrates workflows with Airflow to ensure reliable data delivery for analytics and AI use cases.

Eni Plenitude France is building a scalable data platform to support renewable energy services. As a Data Engineer you will design, build and maintain Azure and Databricks data pipelines, ensure data quality and observability, and collaborate with stakeholders to translate business needs into robust technical solutions.

Data Factory team at Sopra Steria in Paris focuses on building scalable data platforms for a major public financial institution. The Data Engineer PySpark will design and implement ingestion pipelines, structure the DataLake, and create CI/CD workflows while collaborating with data architects and analysts.

Data Engineering team at Akuo builds and maintains a robust Data Platform supporting renewable energy operations. The Lead Data Engineer defines technical standards, industrializes pipelines, ensures data quality, and acts as a senior technical reference across the organization.

Data & Tech – Research & Innovation team at IQVIA France builds proof‑of‑concepts, new products and enhances existing solutions for healthcare data. The Data Engineer designs, develops and maintains robust data pipelines, back‑end services and APIs while collaborating with Data Science, Product and Production teams.

Business Unit Data Science team at SIA builds data pipelines and cloud infrastructure to enable Data Science projects for clients. The Data Engineer collaborates with Data Scientists, Software Engineers and DevOps Engineers to design ETL scripts, manage big‑data platforms, and support machine‑learning model training and deployment.

Architecture & Pipelining team at Sopra Steria Next designs and industrializes modern data platforms. The Data Engineer builds and optimizes Snowflake SQL workloads, implements ELT pipelines, and ensures data quality, observability, and cost efficiency.