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: Cloud Pipelines & DataOps
Build and maintain cloud-based data pipelines and infrastructure for a tech consultancy, using AWS, GCP, or Azure.
Lead Data Engineer - BI & Pipelines
Lead Data Engineer builds and maintains BI pipelines and Snowflake-based analytics solutions using Python, SQL, and DAX to deliver insights for Cofabrik RH’s clients.
Data Engineer Confirmé | Pipelines, Big Data & Cloud
Builds and maintains data pipelines using Python, SQL, Hadoop, Spark, and cloud platforms (AWS/GCP) for a tech-consulting firm.
Data Engineer - Pipelines, Dashboards & KPI (Lyon)
Designs and maintains data pipelines, builds and optimizes databases, and translates data insights for business teams using SQL and Python.
Databricks Data Engineer - Cloud Pipelines
Design and build scalable data pipelines on Databricks for ETL/ELT workloads, optimize performance, and monitor data flows.
Data Engineer - Pipelines, Dashboards & AWS Certification
Builds and maintains data pipelines and dashboards using Python, SQL, and AWS, ensuring reliable data flows for analytics and reporting.
Junior Data Engineer – ETL & Pipelines
Builds and maintains ETL pipelines and databases to feed data-science models, using SQL and Big-Data tooling.
Data Engineer
Build and optimize large-scale data pipelines on Databricks, from ingestion to delivery, using Spark, cloud, and DevOps practices to support analytics and AI teams.
Senior Data Engineer AWS Data Vault Pipelines
Builds and maintains AWS-based data pipelines and data warehouses for clients, using SQL and Python to enable data-driven transformations.
Data Engineer
Build and maintain scalable data pipelines and models (Snowflake, dbt, Airflow) to power analytics, reporting, and AI use cases for a global enterprise integration platform.
Senior Data Engineer — Scalable Data Architect & Pipelines
Design and build scalable data architectures and pipelines using Spark, Python, and SQL for a large telecom company.
Data Engineer — Data Platforms & AI Pipelines
Build and maintain data pipelines and AI workflows for France’s financial intelligence unit, ensuring secure, traceable data flows and collaborating with data scientists and domain experts.
Senior Snowflake Data Engineer - Pipelines & Governance
Build and maintain robust Snowflake data pipelines and governance for clients, collaborating with analysts and scientists to ensure data quality and automation within Agile teams.
Data Engineer Confirmé – Pipelines Big Data et Cloud
Build and maintain robust data pipelines for clients using Python/Scala, Spark, and cloud platforms to move and process large-scale datasets.
Data Engineer: Craft Scalable Data Infrastructure & Pipelines
Designs and maintains scalable ETL/ELT pipelines and cloud data infrastructure to support analytics and ML workflows in a French HR-tech environment.
Data Engineer GCP | Pipelines, Data Lake & DataOps
Design and deploy cloud data pipelines on GCP, focusing on ingestion, modeling, and orchestration for international clients.
Data Engineer (GCP) – Pipelines & Snowflake
Design and build GCP-based data pipelines using Snowflake and dbt, collaborating across international teams to deliver modern data architectures.