Data Engineering Jobs in France
There are 2,378 open Data Engineering jobs in France on freehire right now. 543 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 41 · 2%
- Onsite 14 · 1%
Visa sponsorship offered in 54% of the 65 postings that state a position on it.
Seniority
- Senior 612
- Lead 189
- Junior 32
- Intern 23
- Staff 13
- Middle 11
Who is hiring
- 1000+ employees 325
- 501-1000 employees 236
- 51-200 employees 134
- 201-500 employees 34
- 11-50 employees 33
- 1-10 employees 1
Tech Lead Data Engineer / Databricks
Tech Lead Data Engineer designs and scales a cloud-based data platform on Azure/Databricks, coaches junior engineers, and builds robust data pipelines with monitoring and CI/CD.
Casablanca IT Talent Scout: Data Engineer & Data Analyst
Recruits Data Engineers and Analysts in Casablanca to build and maintain data pipelines using Airflow, DBT, Snowflake, and Spark.
Data engineer F/H | LILLE
Build and maintain robust ETL pipelines, cloud data platforms, and databases to support analytics and AI teams using Python, Spark, and cloud services like AWS/Azure/GCP.
Expert Databricks / Lead Data Engineer
Lead Data Engineer designing and maintaining Databricks/Spark pipelines in Python and SQL to migrate and industrialize a new energy-sector data platform, ensuring performance, reliability, and cost control.
Data Engineer – Plateforme Data Lakehouse & CI/CD
Build and automate a data lakehouse for a large bank, focusing on data structuring, pipelines, and observability with SQL and Kafka.
Data Engineer H/F - Databricks
Build and maintain scalable data pipelines on Databricks, integrating diverse sources and industrializing ML models for enterprise clients.
Senior Data engineer H/F
Design and build large-scale Big Data pipelines and ETL modules using Python, SQL, Spark, and cloud platforms (AWS/GCP/Azure) to process and integrate data for enterprise clients.
Azure Risk Modelling Data Engineer
Designs and maintains Azure-based data pipelines for risk modelling, focusing on governance, automation, and performance monitoring.
Data Engineer Expérimenté H/F
Build and maintain Big Data pipelines on GCP for a major retail client, using BigQuery, SQL, Python, and DevOps practices to support data analysts and ensure operational reliability.
CDI –Data Engineer – H/F
Design and automate big-data pipelines to turn raw naval-system data into real-time dashboards and anomaly-detection models, ensuring performance and security in a defense context.
Data Engineer X/ F/H
Design and build scalable data architectures, pipelines, and warehouses using SQL, Python, and cloud tools to support analytics and business needs.
Lead Data Engineer – Snowflake & dbt
Lead a modern enterprise data platform using Snowflake and dbt, designing ELT pipelines, optimizing SQL, and guiding teams to deliver reliable, business-impactful data solutions.
Lead Data Engineer H/F
Lead Data Engineer to build and scale data pipelines and warehouses for a B2B startup serving hotels, using Python, SQL, Airflow, dbt, and cloud services.
Snowflake Data Engineer — Cloud Data Architect
Design and build Snowflake-based data pipelines and models for clients, using SQL/ETL and modern data-architecture best practices.
Data Engineer Confirmé — Platforms Data & Observabilité
Build and maintain scalable data pipelines and observability platforms using SQL and NoSQL databases for a Paris-based tech company.
Data Engineer — Production-Ready ETL/ELT Pipelines
Build and optimize ETL/ELT data pipelines, deploy production systems, and provide technical support using SQL and Python.
Data Engineer - Data Factory - Services Financiers - Nantes
Build and maintain data platforms for financial clients, ingesting and processing data in batch/streaming pipelines using Spark, Kafka, and cloud tools to deliver analytics and insights.