Data Engineering Jobs in France
There are 2,400 open Data Engineering jobs in France on freehire right now. 544 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 599
- 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 — Hybrid Work & Scalable Data Pipelines
Designs and builds scalable data pipelines for analytics and reporting using PostgreSQL or SQL Server in a hybrid work setup.
Senior Data Engineer: Terraform & Cloud Data Pipelines
Build and maintain scalable data pipelines using Python and Terraform to support AI-driven insurance fraud detection systems.
Data Engineer — Real-Time Data Pipelines & AI Platform
Designs and maintains secure, scalable data pipelines and platforms that feed analytics and operational systems using modern and legacy tech.
Data Engineer (DBT) - Build Scalable Data Pipelines
Build and maintain scalable data pipelines using DBT and SQL to model and industrialize data in a modern data warehouse.
Data Engineer Senior - Pipelines, Data Lake & BI
Build and maintain data pipelines, data lakes, and BI systems using Python, Spark, and databases to ensure high-quality data for analytics and decision-making.
Data Engineer - Pipelines et Data Platforms sur GCP
Build and maintain modern data pipelines and platforms on Google Cloud Platform to ensure reliable, structured data access for teams.
Data Engineer: AI/ML Data Pipelines & Cloud
Design and optimize AI/ML data pipelines for cloud-based data lakes and warehouses, ensuring data quality and CI/CD deployments while collaborating with Data, AI, and R&D teams.
Data Engineer: Build Scalable Data Pipelines on GCP
Build and maintain scalable data pipelines on GCP, automate infrastructure with Terraform, and ensure secure, high-performance data processing for customer analytics.
Data Engineer — Build Scalable Gaming Data Pipelines
Build and optimize ETL/ELT data pipelines for Ubisoft’s gaming platforms using SQL and Python, ensuring data quality and production deployments.
Senior Data Engineer - GCP & Data Pipelines Leader
Designs and builds scalable GCP data pipelines using BigQuery, Dataflow, Pub/Sub and Terraform for modern cloud architectures.
Senior Data Engineer — ELT Pipelines & Data Platform
Designs and maintains enterprise ELT pipelines and data models using Snowflake, dbt, and Airflow to power analytics, reporting, and AI across the organization.
Senior Data Engineer: Build Scalable Data Pipelines
Build and maintain scalable data pipelines to support government space-exploration initiatives and related technologies.
Senior Data Engineer - Pipelines, Data Quality & Cloud
Design and maintain robust data pipelines, ensuring data quality and integrity while collaborating with clients to optimize cloud infrastructures using Hadoop, Spark, Kafka, and Airflow.
Databricks Data Engineer: Cloud Pipelines & Data Platforms
Builds and secures cloud data pipelines on Databricks and Google Cloud using Python, SQL, Scala, and Airflow to optimize partner solutions.
Data Engineer: Scale AI-Driven Data Pipelines
Build and scale AI-driven data pipelines using dbt, SQL, Python, and orchestration tools to clean, transform, and automate customer data workflows.
Lead Data Engineer: Architect & Real-Time Data Pipelines
Designs, builds, and secures scalable data pipelines and architectures in SQL and Python to feed real-time and batch analytics for business needs.