Data Engineering Jobs in France
There are 2,402 open Data Engineering jobs in France on freehire right now. 545 of them were posted recently. The skills employers ask for most often are python, sql and cloud.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| EUR | year | €49,625 | €62,500 | €69,750 | 30 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- python 53%
- sql 50%
- cloud 49%
- data-engineering 31%
- gcp 28%
- aws 28%
- spark 26%
- etl 24%
How the work is done
- Hybrid 150 · 6%
- Remote 42 · 2%
- Onsite 14 · 1%
Visa sponsorship offered in 54% of the 65 postings that state a position on it.
Seniority
- Senior 607
- Lead 194
- Junior 32
- Intern 22
- Staff 13
- C-level 9
Who is hiring
- 1000+ employees 327
- 501-1000 employees 237
- 51-200 employees 135
- 201-500 employees 35
- 11-50 employees 33
- 1-10 employees 1
Data Engineer Cloud | Confirmé & Senior
Build and maintain cloud data pipelines and architectures for clients, collaborating with technical and business teams in a hybrid setup.
Data Engineer Confirmé (F/H)
Design and maintain high-performance data pipelines and cloud architectures using Python, SQL, Spark, Kafka, and cloud platforms (AWS/GCP/Azure) to deliver clean, secure data for analytics and AI teams.
Stage – Data Engineer - F/H
Build and maintain cloud-based data pipelines on Azure, using Spark, Scala, Python, and SQL to feed a DataLake and power cost-tracking dashboards for FinOps.
Data Engineer Teradata H/F
Build and maintain Teradata-based data pipelines and reporting systems for a banking client, using ETL, SQL, and visualization tools like Power BI.
CDI - Data Engineer - H/F
Build and maintain data pipelines for a Retail Media SaaS platform, integrating sales, product, store, and IoT feeds across multi-cloud (GCP/Azure) to power campaign measurement and deployment.
Data Engineer Senior (H/F)
Build and maintain scalable data pipelines, integrate diverse sources, and support analytics teams with Python/R scripts and cloud-based ETL workflows.
Lead Data Engineer - Spark/Scala
Lead a team building and optimizing large-scale data pipelines using Spark/Scala, Hadoop, Kafka, and related Big Data tools for enterprise clients.
Data Engineer Senior – Microsoft Fabric
Senior Data Engineer designing and building scalable data pipelines on Microsoft Fabric and Azure, using Python/PySpark, SQL, and Power BI to deliver analytics solutions for enterprise clients.
Data Engineer Senior (H/F)
Build and maintain scalable data pipelines, optimize Big Data architectures, and ensure data quality and governance for analytics and decision-making.
Data Engineer — Snowflake & Talend Specialist
Designs and builds data pipelines using Snowflake and Talend for a client in Rosny-sous-Bois, maintaining data models and ETL workflows.
Data Engineer Expérimenté (H/F)
Build and maintain data pipelines for financial clients using ETL tools like Talend or Stambia, SQL, and cloud/Big Data tech.
Lead Data Engineer H/F
Design, build, and optimize cloud-based data pipelines for a global aerospace company, collaborating with cross-functional teams to deliver scalable data solutions.
Data Engineer - AI/ML Pipelines & MLOps (Hybrid, Lille)
Build and maintain AI/ML data pipelines and MLOps infrastructure on GCP to productionize predictive models for a FinTech-oriented team.
Senior Data Engineer: AI ML Pipelines & MLOps Leader
Senior Data Engineer building robust ML pipelines and MLOps workflows for enterprise AI projects using Python and SQL.
Data Engineer Senior H/F
Design scalable data architectures and MLOps pipelines, industrialize ML models, and ensure data quality for enterprise AI projects in cloud environments.
AI Data Engineer H/F
Build and deploy generative-AI applications (RAG pipelines, LLM integrations, vector search) using Python, FastAPI, and cloud AI services for enterprise clients.
Data Engineer (H/F/NB)
Build and maintain robust data pipelines and cloud data platforms, preparing data for AI systems and ensuring quality and governance for analytics and agentic use cases.
Data Engineer Expérimenté F/H
Design and build scalable cloud data pipelines on GCP (BigQuery, Dataflow, etc.) for enterprise clients, ensuring DataOps and DevOps best practices.