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 149 · 6%
- Remote 42 · 2%
- Onsite 14 · 1%
Visa sponsorship offered in 54% of the 65 postings that state a position on it.
Seniority
- Senior 607
- 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 senior (F/H)
Build and maintain robust ETL pipelines, cloud data platforms, and databases to ensure high-quality data for analytics and AI teams using Python, Spark, and cloud services like AWS/Azure/GCP.
Data Engineer confirmé H/F
Build and maintain large-scale data pipelines and models in Azure or AWS, integrating with Power BI and automating processes using Python or R.
Data Engineer Snowflake & DBT - Architecte Data
Build and optimize Snowflake-based data products using dbt; design schemas and pipelines in a cloud-native environment.
Junior Data Engineer — Databricks & Big Data
Builds and maintains data pipelines on Databricks using Spark, Hadoop, Python, and SQL, with exposure to cloud platforms like AWS, Azure, or GCP.
Data Engineer Senior (H/F)
Build and scale high-volume data pipelines for an industrial IoT platform on AWS, using Spark/Flink, Kinesis, Databricks, and FastAPI to deliver real-time and batch analytics.
Data Engineer (F/H/NB)
Design and build scalable, AI-ready data pipelines using Spark, Kafka, and cloud platforms (AWS/GCP) to power GenAI models and analytics for enterprise clients.
Applied AI - Senior Data Engineer
Senior Data Engineer builds scalable data pipelines and AI solutions for Nexans’ digital transformation, leveraging Python, Databricks, and cloud platforms to enable measurable business impact.
Senior Databricks Data Engineer — Azure & AI Pipelines
Senior Data Engineer builds and optimizes Databricks and Azure pipelines for a major retail company, using Python and SQL to process large-scale data and support AI-driven projects.
Data Engineer Azure Confirmé — Pipelines & Fabric
Design and build modern data pipelines and architectures using Azure Fabric for a digital transformation consultancy.
Senior Data Engineer
Build and maintain scalable data pipelines and GenAI platforms on AWS using Spark, Iceberg, and Bedrock to power analytics, AI, and RAG systems for a fintech-focused company.
Staff Data Engineer
Design and build scalable payment data models and cloud-native ELT pipelines for a fintech platform handling cards, ACH, wallets, and cash payments.
Data Engineer
Build and optimize event-driven data pipelines on GCP for a client, using Python, Airflow, BigQuery, and DataForm to support a new CRM integration.
Data Engineer
Build and optimize data pipelines and feeds, integrate AI agents for SQL querying, and collaborate with analysts on data use cases using Python, SQL, and modern ETL tools.
Data Engineer
Build and maintain ETL/ELT pipelines, model data warehouses/lakes, and advise clients on data strategy using Python, DBT, and cloud platforms like Snowflake.
Data Engineer
Build and maintain data pipelines on Microsoft Azure and Fabric, using PySpark, Python, and SQL to move and transform customer data for analytics and BI solutions.
Leader Data Engineering & Développements
Leads data engineering, cloud infrastructure, and team for Colissimo’s data systems, ensuring performance, security, and cost efficiency while managing budgets and governance.
Experte/Expert Data Engineering
Build and deploy scalable data pipelines, cloud infrastructure, and full-stack apps that expose AI models and processed data for enterprise clients.
IoT Data Platform Engineer – Hop on Kubernetes (On-Prem)
Build and scale an on-premise IoT data pipeline using Apache Hop and Kubernetes, migrating from Dataiku and documenting the architecture.
Senior Data Platform Engineer: Identity & ML for Ads
Build and optimize data pipelines and ML models to create user identities and household profiles for advertising and measurement systems.
Responsable Data Engineering & Plateforme Data
Lead a team to build and maintain data pipelines and datasets for CEVA Santé Animale’s data platform, ensuring engineering standards and supporting data & AI transformation.