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 604
- Lead 194
- Junior 32
- 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 (H/F)
Builds and maintains data pipelines and BI integrations for banking clients using ETL tools like Semarchy xDI and SQL, ensuring reliable, high-performance data flows.
Data Engineer (H/F)
Build and maintain data pipelines and warehouses on AWS for a large energy company, using Python, Spark, and SQL to enable analytics and reporting.
Data Engineer – Azure Databricks & ML Pipelines (Remote)
Builds and maintains cloud data pipelines on Azure Databricks, industrializes ML models with MLflow and Delta Lake, and collaborates with IT and business teams.
Expert Data Engineer (IT) / Freelance
Build and maintain dbt models, set data engineering standards, and train internal teams on modern data stack tools like Airflow and Snowflake.
Cloud Data Engineer – GCP Pipelines & Airflow
Designs, builds, and maintains GCP-based data pipelines using BigQuery, Terraform, and Airflow for automated data workflows.
Data Engineer
Data Engineer builds and maintains data models and pipelines for a banking client, using SQL, Python/C#, and data mapping tools.
Data Engineer: Multimodal ML Data Pipelines
Build and maintain scalable data pipelines to clean, version, and serve terabytes of training data for autonomous defense ML models.
Senior Data Engineer — Remote AWS Data Pipelines
Senior Data Engineer builds and optimizes AWS-based data pipelines, ETL processes, and cloud data lakes to support large-scale analytics and migration in a remote role.
Data Engineer
Builds and maintains data pipelines, integrates AI tools, and prepares data for analytics and reporting to support business teams and data science projects.
Data Engineer (F/H)
Build and maintain scalable data pipelines and storage solutions using Spark, Kafka, and cloud platforms to collect, transform, and deliver reliable data for analytics and business use.
Senior Backend Engineer TypeScript – Data Platform H/F - Paris
Build and optimize TypeScript-based ETL pipelines for a European MedTech company, processing large volumes of cardiac monitoring data in AWS with PostgreSQL, Kafka, and Kubernetes.
Data Engineer Databricks Senior - H/F - CDI
Senior Data Engineer at Talan building and optimizing Databricks/Spark pipelines for large-scale data integration, coaching teams, and advising clients on cloud and streaming tech.
Data Engineer H/F
Build and maintain cloud data pipelines and platforms for clients using AWS/GCP/Azure, Snowflake, Databricks, Airflow, Spark, and Python.
Data Engineer Senior - Expert Dataiku - CDI - H/F
Senior Data Engineer role at Talan, building and optimizing data pipelines, visualizations, and ML models using Dataiku, Python, Spark, and cloud tools to deliver business insights and POCs.
Data Engineer Snowflake (confirmé/sénior) - H/F - CDI
Build and optimize Snowflake-based data pipelines and cloud data models for enterprise clients, using SQL, Python, and cloud platforms like AWS.
Consultant Data Engineer Databricks - Confirmé - H/F
Consultant Data Engineer builds and optimizes Databricks-based data pipelines and analytics solutions for enterprise clients, using Spark, Python/Scala/SQL, and ETL/ELT workflows.
Data Engineer (F/H/NB)
Design and build AI-ready data pipelines and cloud architectures using Spark, Kafka, and Python/Scala for a tech consultancy driving GenAI innovation.