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 600
- Lead 195
- 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
Data Engineer
Build and maintain scalable data pipelines in Python/PySpark on AWS to ingest, transform, and expose market data for anomaly detection in a fintech setting.
Data Engineer
Build and maintain data analytics pipelines, models, and dashboards on Google Cloud, ensuring quality and collaborating in an agile team.
Data Engineer
Build and maintain data pipelines for media analytics, sourcing from APIs and BigQuery, transforming data for performance dashboards, and optimizing GCP deployments.
Data Engineer
Build and maintain scalable data pipelines and ETL processes to power AI model training and analytics at a cutting-edge AI company.
DATA ENGINEER
Builds and maintains data pipelines, transforms raw data into analytics-ready datasets, and creates dashboards for reporting using Python/Scala, SQL, and NoSQL databases on AWS.
Data Engineer
Analyze user behavior and product metrics to build dashboards and reports that guide decisions using SQL, Python, and visualization tools.
Data Engineer
Designs and maintains scalable data pipelines and infrastructure using Python, SQL, Spark, and cloud platforms to enable analytics and AI workloads.
Data Engineer
Develops and maintains business-critical manufacturing systems, focusing on Manufacturing Execution Systems (MES) and related software.
Data Engineer
Design and build scalable data pipelines, ETL/ELT workflows, and cloud data architectures for clients, ensuring data quality and security while enabling real-time analytics and digital transformation.
Geospatial Data Engineer — Pipelines & AI on Kubernetes
Build and maintain large-scale geospatial data pipelines on Kubernetes, integrating remote sensing and AI for energy-market intelligence.
Data Engineer
Build and maintain data pipelines, storage systems, and CI/CD workflows for a large banking group, using Python, SQL, Spark, Kafka, and cloud storage.
Data Engineer
Build and maintain data pipelines for a migration to SAYVINT, using Airflow and Dataiku on AWS to integrate and cleanse application data.
Data Engineer
Build and maintain scalable data pipelines in BigQuery and dbt, transforming raw retail-media data into clean, reusable layers for analytics and AI teams across Europe.
Data Engineer
Build and own a scalable Azure-based data lake and analytics platform, from ETL pipelines to embedded BI and future ML/GenAI exploration for industrial clients.
Data Engineer
Build and maintain scalable data pipelines using Python, Spark, and Databricks to support analytics and AI projects for clients across industries, with a focus on sustainability.
DATA ENGINEER
Build and maintain data pipelines for a healthcare AI project, ingesting and harmonizing diverse medical datasets to support deep-learning model training and deployment.
Data Engineer
Build and maintain Wizaly’s data pipelines and attribution algorithms using Scala/Spark and SQL, ensuring accurate, real-time marketing performance insights for clients.
Data Engineer
Build and maintain production data pipelines and warehouses for an AI safety platform, using SQL, Python, and modern ETL tools to ensure clean, reliable data for engineering and research teams.
Data Engineer
Build and maintain data platforms for a bank, including Teradata data warehouses, Big Data pipelines, and ETL workflows using Python/Scala in a DevOps/CI/CD environment.