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
Senior Data Engineer - Cloud Pipelines, GenAI & Governance
Senior Data Engineer builds and maintains cloud data pipelines and DevOps practices on AWS and Google Cloud for a digital services company.
Data Engineer - F/H
Build and maintain scalable, secure data pipelines and architectures for enterprise clients, using tools like Spark, Scala, and GCP.
Senior Data Engineer — Cloud-Native Pipelines & AI
Senior Data Engineer builds cloud-native data pipelines and integrates AI-driven workflows for a Paris-based tech consultancy using Python, SQL, and Google Cloud.
Data Engineer: Python, GCP & Snowflake Pipelines
Builds and maintains Python-based ETL/ELT pipelines on GCP and Snowflake to ensure reliable, high-performance data flows for analytics and reporting.
Senior Data Engineer – Data Architecture & Pipelining (H/F)
Design and build modern data platforms, including pipelines, Lakehouse/Data Warehouse architectures, and cloud data solutions using Snowflake, Databricks, and Python/Spark.
AI-Driven Data Engineer - Cloud-Native Pipelines
Design and maintain cloud-native data pipelines and models to power analytics, BI, and AI initiatives for a global gambling company.
Senior Geospatial Data Engineer - AI Pipelines (Paris)
Builds large-scale AI pipelines to process Earth observation data, integrating remote sensing with machine learning for climate analytics.
Data Engineer - AI-Ready Pipelines & Cloud (Hybrid)
Designs and maintains scalable data pipelines using Spark, Kafka, and Flink, deploys AI-ready cloud architectures on AWS/GCP, and enables GenAI model integration.
Data Engineer IA-Ready: Pipelines & Cloud (Hybrid)
Designs scalable data pipelines and cloud infrastructure (AWS/GCP) to feed GenAI models, using Python/Scala and ensuring data quality for digital transformation projects.
Data Engineer (H/F)
Build and maintain a high-stakes data platform using Spark, Kafka, Scala/Java, and DevOps tools to deliver real-time and batch data pipelines and REST APIs.
Data Engineer & DataOps — Real-Time Pipelines
Build and maintain real-time data pipelines for a consulting firm, ensuring consistency and performance in production cloud environments while bridging technical and business teams.
Data Engineer - BU Data (CDI)
Build and maintain robust data pipelines for a retail client, using Python, SQL, dbt, and GCP services like BigQuery and Airflow to ensure high-quality, production-ready data for BI and AI teams.
Senior Databricks Data Engineer – Cloud Pipelines & AI
Build and optimize cloud data pipelines for an investment platform, integrating financial data sources like Bloomberg into a Databricks-based Lakehouse.
Senior Data Engineer: Cloud & AI Pipelines Expert
Designs and deploys scalable data and AI pipelines using Python, Databricks, MLflow, and cloud platforms (Azure/AWS/GCP) to support business use cases.
Data Engineer - Big Data, Spark & Télétravail Possible
Build and maintain scalable big-data pipelines using Spark, Python/Scala, and Hadoop; collaborate with data scientists to deliver robust ETL/ELT workflows.
Data Engineer: Cloud Pipelines & Auto GraphQL API
Build and maintain cloud data pipelines that feed operational apps, auto-generate GraphQL APIs, and ensure scalable, observable performance in BigQuery.
Data Engineer Confirmé | Remote, Cloud & Pipelines
Build and maintain data pipelines and cloud DevOps solutions using Python, SQL, and ETL tools like Talend or Informatica, plus visualization platforms.