Data Engineering Jobs in France
There are 2,391 open Data Engineering jobs in France on freehire right now. 552 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 25%
How the work is done
- Hybrid 151 · 6%
- Remote 41 · 2%
- Onsite 14 · 1%
Visa sponsorship offered in 53% of the 66 postings that state a position on it.
Seniority
- Senior 617
- Lead 190
- Junior 32
- Intern 23
- Staff 13
- Middle 11
Who is hiring
- 1000+ employees 327
- 501-1000 employees 236
- 51-200 employees 136
- 201-500 employees 36
- 11-50 employees 33
- 1-10 employees 1
Senior Data Engineer (F/H) - Nantes
Designs and builds cloud-native data pipelines and platforms using Python, SQL, dbt, Airflow, and GCP, integrating AI/ML workflows and real-time analytics.
Data Engineer - Cloud Migration, Airflow & Dataiku
Data Engineer to migrate data to SAYVINT, build and maintain Airflow and Dataiku pipelines, and ensure data reliability in a multi-referential environment.
Data Engineer & Architecte Junior – Cloud/IA
Build and expand cloud-based data platforms (Databricks, Azure, AWS) for BI, AI, and API needs as a junior Data Engineer/Architect at a data/IA consultancy.
Consultant.e Data Engineer AWS H/F
Build and optimize data pipelines on AWS for clients, focusing on automation, Spark, and CI/CD to enable scalable analytics and business insights.
Lead Data Engineer & Databricks Expert (Remote)
Lead a team building robust data pipelines on Databricks, using Spark, Python and SQL to migrate and industrialize a new data platform.
Remote Data Engineer - Spark, Scala & Snowflake
Build and maintain high-performance data pipelines using Scala and Spark, migrating legacy Hadoop systems to Snowflake for Groupe Open’s Open Data & AI unit.
Alternance Data Engineer — IA, Cloud, Airflow, Télétravail
Build and maintain data pipelines in Python and Airflow, automate cloud workflows on AWS, and integrate generative AI models as part of a data engineering team.
Senior Data Engineer - AI CoE Backend & LLM Pipelines
Builds backend services and LLM pipelines for an AI-powered conversational agent using Python, REST APIs, and GCP in an agile team.
AI-Enhanced Data Engineer for Scalable Data Products
Designs and maintains scalable data pipelines and models for AI and BI use, working in autonomous squads to ensure data quality and observability.
Data Engineer - Teradata & Big Data Platform (DevOps)
Designs and builds data pipelines, warehouses, and aggregations on Teradata and Big Data platforms, automating workflows with DevOps and CI/CD for a bank’s analytics team.
Data Engineer / Data Analyst confirmé à expert (F/H)
Build and maintain cloud data pipelines and analytics for banking/insurance clients using Spark, Kafka, AWS, and Python, with a focus on data quality and risk/finance reporting.
Data Engineer (Permanent contract and Freelance)
Design and maintain scalable data pipelines and architectures (ETL/ELT, data lakes, warehouses) using Python, SQL, Spark, Kafka, and cloud platforms (AWS/GCP/Azure).
Data Engineer Cloud Azure F/H
Designs and runs Azure-based big-data pipelines using Spark, Hadoop, and Azure services to ingest, process, and store data for analytics and AI projects.
Consultant Senior Data Engineer (H/F)
Senior Data Engineer to lead a cloud data platform project, coach junior engineers, and implement data pipelines, monitoring, and architecture best practices using Python, SQL, and cloud tools.
Data Engineer - Microsoft Azure (F/H)
Build and optimize Microsoft Azure data pipelines and warehouses for clients, using Azure Synapse and SQL to integrate and analyze data for business intelligence and reporting.
Data Engineer senior – Databricks (H/F)
Design and maintain scalable data pipelines on Databricks using Spark, Python, Scala, and SQL to collect, store, and process large volumes of data for analytics and AI workloads.