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 dbt (confirmé/sénior) - H/F - CDI
Build and maintain modern data pipelines using dbt, Snowflake, and CI/CD to create scalable analytics platforms for enterprise clients.
Data Engineer Python / Spark / GCP F/H/X
Build and maintain scalable data pipelines and infrastructure for a media company using Python, Spark, BigQuery, and GCP.
Data Engineer & Analyst: AWS, SQL, Informatica, Power BI
Maintains and optimizes data pipelines using AWS, SQL, Informatica, and Power BI to support analytics and reporting.
Data Engineer Python GCP Snowflake – Nantes (H/F)
Builds scalable data pipelines in Python on GCP, models Snowflake warehouses, and integrates multi-source data for analytics and reporting.
Lead Data Engineer Python/SQL – Cloud & ML (Metz)
Lead Data Engineer designing and building ML-powered forecasting pipelines in Python and SQL to improve activity prediction reliability for a climate-tech company.
Data Engineer Python GCP Snowflake – Lyon (H/F)
Builds scalable data pipelines in Python on GCP, models Snowflake warehouses, and integrates multi-source data for analytics and reporting.
Data Engineer – Real-Time Streaming (Kafka/Java/Scala)
Builds real-time data pipelines using Kafka/PubSub, Java/Scala services with Spring Boot, and Airflow orchestration on Kubernetes.
Senior Data Engineer (GenAI / Python) (H/F/NB)
Builds and maintains the backend services and AI pipelines for an enterprise-grade conversational AI agent using Python, FastAPI/Flask, LangChain, and Google Gemini Enterprise on GCP.
Remote Streaming Data Engineer for Real-time AI Training
Design and review real-time data pipelines for AI training, implementing streaming patterns and validating event-time semantics across Kafka, Flink, and ksqlDB ecosystems.
Data Engineer Databricks - Python (Clermont-Ferrand) (H/F)
Build and maintain data pipelines in Python and Databricks, ensuring reliable, high-performance data processing and transformation for clients.
SENIOR DATA ENGINEER (GENAI / PYTHON) (H/F/NB)
Builds Python back-end services and AI pipelines for an enterprise GenAI assistant using FastAPI/Flask, LangChain, and Google Vertex AI on GCP.
Data engineer (BI) - H/F/X (H/F)
Build and maintain scalable data pipelines and BI infrastructure on GCP (BigQuery), using dbt and Trino to feed MicroStrategy dashboards and enable AI-driven insights.
Data Engineer Senior - Plateforme Spark - Databricks H/F
Senior Data Engineer builds and operates a Spark-based Lakehouse platform (Databricks, Delta Lake, Azure) using Scala/Spark pipelines and cloud infrastructure.
Data Engineer Hadoop — Remote 2x/sem, Python & SQL
Builds and maintains Hadoop-based data pipelines for a bank using Python and SQL, working 2 remote days per week in a Scrum team.
Data Platform Engineer
Build and maintain Nutripure’s data platform on GCP, ensuring reliable, fresh data pipelines and enabling analysts with clean models and observability.
Senior Data Engineer, AI Lakehouse (Onsite 3x/Wk)
Designs and optimizes Azure Lakehouse data pipelines for AI projects, ensuring data quality and preparing datasets for analytics and AI consumption.
Senior Data Engineer for AI & GenAI Platform on AWS
Build and maintain scalable data pipelines and products on AWS to power AI and GenAI solutions, collaborating with data scientists and AI engineers.