Data Engineering Jobs in France
There are 2,399 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 148 · 6%
- Remote 42 · 2%
- Onsite 14 · 1%
Visa sponsorship offered in 54% of the 65 postings that state a position on it.
Seniority
- Senior 602
- Lead 194
- Junior 31
- 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
Senior Data Engineer
Design and build scalable data pipelines and GenAI platforms on AWS, using Spark and modern data architecture to support analytics, AI, and Generative AI use cases.
Data Engineer: Build Scalable ETL Pipelines & Data Models
Design and build scalable ETL pipelines and data models to improve data reliability and analytics for an ecommerce platform.
DataOps/Data Engineer
Build and maintain scalable AWS pipelines for single-cell transcriptomics data to support clinical-grade oncology diagnostics, collaborating with biologists and engineers.
Data Engineer Databricks
Build and maintain robust data pipelines on Databricks, integrating diverse sources into reliable analytics-ready datasets using AWS, Spark, and Python.
Quantitative Data Engineer
Build and maintain data pipelines and features for quantitative trading models using Python, C++, and Spark, collaborating closely with researchers to automate data extraction and cleaning.
Data Engineer — Databricks & Spark Pipelines (Onsite)
Build and maintain Databricks/Spark data pipelines for a client services team, collaborating with data science and BI groups.
Data Engineer Cloud - Azure Pipelines, Hybrid
Designs and maintains Azure-based data pipelines to ensure reliable, high-quality data flows for analytics and reporting.
Data Engineer GCP
Design and build scalable GCP-based data pipelines, lakes, and analytics platforms for enterprise clients, using Python, Spark, and BigQuery to enable data-driven decision-making.
Data Engineer Snowflake
Build and optimize Snowflake-based data pipelines with dbt, writing complex SQL to feed analytics and BI for a large client in Île-de-France.
Data Engineer (FH)
Design and build scalable data pipelines and cloud-based data platforms using PySpark, Snowflake, and Databricks to support AI and analytics initiatives.
Data Engineer (Spark)
Build and maintain scalable data pipelines using Spark, SQL, and NoSQL to process large datasets for client projects in a hybrid role based in Lyon.
Senior Data Engineer
Senior Data Engineer builds and maintains ETL pipelines, data warehouses, and cloud-based data platforms using Microsoft SQL Server, Talend, and BigQuery to support analytics and business needs.
Data Engineer GCP
Build and maintain scalable data pipelines and cloud infrastructure on GCP, using Python, SQL, Spark, and Terraform to support analytics and AI solutions.
Hybrid Data Governance Engineer: Data Quality & Pipelines
Builds and maintains large-scale data pipelines and quality checks using SQL and Python in a collaborative product environment.
Data Engineer RAG
Build and optimize RAG pipelines: ingest, clean, and chunk documents; design vector databases and hybrid indexing; measure relevance and automate production workflows for AI assistants.
Cloud Data Engineer: Azure & AWS Pipelines
Design and deploy cloud data pipelines on Azure and AWS using Terraform, and build robust data models for an energy-sector client.
Founding Data Engineer - AI Pipelines (Remote-Optional)
Build and scale data pipelines and AI workflows for insurance products using Python and AWS, focusing on backend engineering and data-intensive systems.
Lead Data Engineer
Lead a team to design and build scalable data pipelines using Spark, Kafka, and cloud platforms (Azure/GCP) while ensuring data quality and governance for analytics and AI projects.
Expert Data engineer
Build and deploy scalable data pipelines, cloud infrastructure, and full-stack apps that expose AI models and datasets for analysts and scientists.