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 - Databricks & Cloud Data Pipelines
Build and maintain cloud-based data pipelines using Databricks and cloud services to ingest, process, and expose data for a data lake.
Data Engineer GCP: Cloud Data Pipelines & Big Data
Builds and audits GCP-based data pipelines and cloud architectures for clients in a consulting role.
Data Engineer Cloud — Pipelines & Data Platforms
Designs and maintains cloud-based data pipelines and platforms using Python, SQL, and Azure Data Factory for a data-consulting firm.
Azure Fabric Data Engineer: Scale Data Pipelines & AI
Designs and scales robust Azure/Fabric data pipelines, ensures data quality, and works across the full data lifecycle using Python, SQL, and Spark.
Data Engineer - Time-Series & Finance Data Pipelines
Designs and maintains data pipelines for financial time-series data, ensuring efficient processing and analytics for a leading fintech firm in Paris.
Senior Data Engineer — Build Scalable Data Pipelines (Hybrid)
Senior Data Engineer builds and optimizes scalable data pipelines for a gaming company using SQL, Python, and data warehousing to support analytics and business decisions.
Senior Data Engineer – Cloud & Data Pipelines (Hybrid, Aix)
Senior Data Engineer builds and maintains cloud data pipelines and CI/CD workflows for clients, collaborating with technical and business teams.
Data Engineer — AWS Datalake & Big Data Pipelines
Designs and optimizes AWS-based data pipelines and large-scale analytics for media insights using Python, SQL, and cloud infrastructure.
Data Engineer – Pipelines Big Data & Cloud (Madrid)
Build and migrate data pipelines from Hadoop to cloud, automate workflows with Airflow, and process large datasets using Spark, Scala, and Python for a banking client.
Databricks Data Engineer: Cloud Pipelines & Data Quality
Design and deploy high-performance data pipelines on Databricks in Azure or AWS, focusing on ETL/ELT optimization and data modeling.
Data Engineer: Build & Optimize Data Pipelines & BI
Build and optimize data pipelines and BI dashboards using Python, SQL, and Power BI for an industrial SME.
Data Engineer - GCP & Python | ETL & Data Warehousing
Designs and builds GCP-based data warehouses and ETL pipelines in Python to extract, transform, and load data securely.
Senior Data Engineer: Build Scalable Data Pipelines & AI
Design and maintain scalable data pipelines in Python, ensuring data quality and reliability using cloud platforms like Databricks or Snowflake.
Cloud Data Engineer: Scalable Pipelines & Data Architecture
Design and audit scalable cloud data pipelines and architectures for clients using AWS, focusing on Big Data and automation tools.
Data Engineer – AWS Data Platform & Pipelines
Builds and maintains AWS-based data warehouses and pipelines using SQL and Python for a consulting firm.
Data Engineer AWS — Cloud Data Pipelines & ETL
Build and maintain cloud data pipelines and ETL workflows on AWS, integrating Snowflake and Terraform to support analytics and innovation.
Senior Data Engineer: Python & GCP Data Pipelines
Design and maintain cloud-based data pipelines using Python and Google Cloud Platform for a data-focused company.
Senior Data Engineer — AWS, Airflow & Data Pipelines
Designs and builds cloud-based data pipelines using AWS (S3, Kinesis) and databases (Exadata, SQL Server) for a consulting firm.
Lead Data Engineer — Pipelines, Production & Data Quality
Lead a data engineering team to build and maintain reliable data pipelines using Python and SQL, ensuring data quality and resolving production incidents.