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 602
- Lead 194
- 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 GCP (H/F)
Build and maintain GCP-based data pipelines and infrastructure for a banking client, using BigQuery, Python, and MLOps practices to support data science teams.
Senior Data Engineer - Remote (Azure, Banking)
Builds and maintains Azure-based data pipelines and infrastructure to deliver reliable, scalable data products for banking analytics and customer insights.
Senior Data Engineer - Feature Platform
Build and scale a feature platform that powers real-time ML ad recommendations, handling batch and streaming pipelines with Python, Flink, and Spark to serve low-latency features for model inference.
Data Engineer Senior H/F
Senior Data Engineer builds and optimizes Big Data pipelines and REST APIs using Java/Spring, Spark, and Hadoop, deploying via Docker/Kubernetes on AWS/Azure.
Data Engineer Hadoop (h/f)
Build and maintain Hadoop-based data pipelines for a bank, using Python and SQL to process and analyze financial data.
Lead Data Engineer: ML-Driven Pipelines (Hybrid Paris)
Lead a team to build and scale ML-driven data pipelines, integrating predictive analytics using Python, Scala, Golang, Rust, Hadoop, Spark, and Kafka.
Data Engineer / Data Ops H/F
Build and maintain a secure, scalable data platform for health data, ensuring compliance and reliability while integrating tools like Kubernetes, Trino, and Spark.
Cloud Data Engineer AWS & Snowflake - Pipelines, DevOps
Designs, builds, and optimizes Snowflake and AWS data pipelines, implements ETL/ELT workflows, and ensures data quality and governance for a large enterprise client.
Senior Data Engineer, GCP & Data Platform
Designs and maintains GCP-based data pipelines, warehouses, and CI/CD for analytics and ML workloads using BigQuery, Dataflow, and Dataproc.
Data Engineer / Data Ops H/F
Build and maintain a secure, scalable data platform for healthcare analytics, integrating patient data pipelines, enforcing privacy standards, and ensuring end-to-end data reliability.
DATA ENGINEER - SENIOR
Senior data engineer builds and optimizes scalable pipelines, integrates ML models, and leads a team using Python, Scala, Go, Rust, Spark, Kafka, and modern SQL/NoSQL databases.
Databricks Data Engineer: Scalable Pipelines & ML
Build and maintain scalable Databricks pipelines using Delta Lake, Spark SQL, and MLflow to industrialize ML models and AI workflows for large-scale analytics.
Data Engineer
Designs and maintains data pipelines, ETL/ELT workflows, and Snowflake analytics; implements CDC with Debezium and AWS Kinesis/S3; enforces security and data quality in a regulated environment.
AI Data Engineer — Fabric & Azure Data Pipelines
Build and optimize data pipelines with Microsoft Fabric and Azure to support AI and analytics initiatives in a collaborative team.
Data Engineer GCP - Services Financiers - Ile-de-France
Designs, builds, and automates data pipelines on GCP for banking clients, focusing on scalable, high-quality data processing with Spark, Kafka, and Airflow.
DATA Engineer H/F - Asnières-sur-Seine
Designs and maintains data pipelines, storage, and infrastructure to ensure reliable data flow for analytics and AI use cases while collaborating with data science and business teams.