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 600
- 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 Platform Engineer: Build Scalable Data Products
Data Platform Engineer designing scalable data warehouses/lakehouses, building ELT pipelines, and integrating diverse data sources (API, SQL, NoSQL, streaming) while ensuring data governance and quality.
Senior Data & AI Engineer - Data Platform & AI Ops
Design and industrialize data solutions using Snowflake, dbt, and Matillion; act as technical lead for pipeline quality and data-flow security, and integrate AI capabilities into products and processes.
Data Engineer Senior / Expert Semarchy xDI (H/F)
Senior Data Engineer designing and maintaining complex ETL/ELT data flows using Semarchy xDI, developing SQL queries on Oracle/SQL Server/PostgreSQL databases, and ensuring data quality and performance optimization.
AI & Data Engineer - F/H - Système, réseaux, données
Build and maintain data pipelines, deploy AI solutions (LLMs, RAG, assistants) on cloud, and industrialize Data & AI systems using Python, Spark, and Azure.
Data Engineer Snowflake F/H - Système, réseaux, données
Design, build, and optimize Snowflake-based data pipelines and warehouses, model data with best practices, and collaborate with analysts and scientists to deliver reliable analytics infrastructure.
Expert TALEND Data Engineer – Architecte Intégration ETL/API
Designs and maintains Talend Data Fabric ETL/real-time pipelines, migrates legacy integrations, and ensures GDPR compliance while leading the integration team.
Data Engineer Databricks / AWS / Spark (H/F) - Paris
Tu es passionné(e) par la Data Engineering et tu souhaites contribuer à des projets ayant un impact concret sur des infrastructures critiques ? Tu aimes développer des plateformes de données, concevoir des pipelines…
Data Engineer GCP - Services Financiers - Ile-de-France (H/F)
Data Engineer designing, industrializing, and automating data pipelines on GCP for banking and payment clients, using Spark, Kafka, BigQuery, GKE, Airflow, and Terraform in a Cloud-first environment.
Senior Data Engineer — Real-Time Payments Platform (Remote)
A Senior Data Engineer designs and scales the data platform for WalletConnect's real-time payments platform, building event-driven pipelines and ensuring data quality while creating backend services to expose data to internal platforms.
Healthcare Data Engineer: NLP & ML for Patient Data
You will focus on healthcare data, NLP pipelines, and ML model optimization, validating and enriching patient records while ensuring ISO 27001 compliance.
Data Engineer F/H - Système, réseaux, données
Data Engineer building and maintaining Azure Datalake data pipelines for a greenfield information-system overhaul in Lyon, supporting Qlik Sense and Azure Dashboard reporting for telemetry of 150K connected machines.
DATA ENGINEER F/H - Système, réseaux, données
Designs data architectures, models SQL databases, builds data pipelines, and ensures data quality for a financial services client’s IT systems, collaborating directly with business teams.
Data Engineer GCP / Hadoop / PySpark (H/F)
Develop and maintain PySpark pipelines and data ingestion flows for a client's Data Lake using GCP and Hadoop in an Agile environment.
Senior Data Engineer - GCP, Hadoop & PySpark (Hybrid)
Builds and optimizes large-scale data pipelines using PySpark in a cloud (GCP) and Hadoop environment, ensuring efficient data processing and transformation for analytics and business intelligence.