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 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 599
- 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 Engineer GCP & DBT: Build Scalable Data Pipelines
Build and maintain scalable ETL/ELT pipelines on GCP and BigQuery using dbt; collaborate with analytics and marketing teams to industrialize data processes.
Data Engineer: Build Reliable AI Safety Data Pipelines
Build and maintain production data pipelines and a data warehouse to support AI safety initiatives, modeling data for engineering, product, and research teams.
Senior Data Engineer - Pipelines, Looker & Cloud
Senior Data Engineer builds and maintains data pipelines, models, and dashboards in GCP and Looker to power business decisions and reporting for a fintech payments company.
Data Engineer - Build Scalable Pipelines & Data Quality
Build and maintain scalable data pipelines and storage systems using Snowflake, S3, GCS, and Azure Blob to ensure reliable, secure access to business data.
AWS Data Engineer — Pipelines & Cloud Automation
Build and optimize AWS data pipelines for enterprise clients, focusing on automation, cloud-native tooling (Spark, Airflow, Terraform), and scalable data platforms to enable analytics and business insights.
Snowflake Data Engineer – Architecture & Pipelines
Design and build modern Snowflake data architectures and robust dbt pipelines for financial projects, optimizing SQL queries and managing platform costs.
Data Engineer: Pipelines, Cloud & CI/CD
Design and deploy reliable data pipelines using Azure and Snowflake, focusing on ingestion, transformation, and CI/CD automation.
Data Engineer — Pipelines Robustes et Observabilité
Build and maintain robust, observable data pipelines (ELT/ETL, batch and streaming) and ensure data quality and traceability for a data platform.
Data Engineer — Data Lake & Cloud Pipelines
Designs and maintains data architectures, ETL/ELT pipelines, and integrates relational databases with a cloud-based data lake using SQL, Python/C#, and SQL Server/PostgreSQL/MySQL.
Azure Data Engineer: Build Scalable Data Pipelines
Design and build scalable data pipelines on Microsoft Azure, integrating and transforming customer data using SQL and cloud tools.
Hydrology Big Data Engineer — Scalable Data Pipelines
Builds and maintains scalable cloud-based ETL pipelines to process large hydrological and weather datasets, ensuring data accuracy and performance for water-intelligence applications.
Senior Data Engineer – Cloud Data Pipelines & Analytics
Senior Data Engineer builds and maintains cloud data pipelines and analytics models for an impact investment firm in Paris.
Data Engineer: Architecte Data & Pipelines Scalables
Designs and builds scalable data pipelines and architectures for enterprise clients using Python and SQL in a modern data stack.
Data Engineer - Remote Health Data Pipelines & BI
Build and maintain data pipelines and BI systems for a leading French healthcare company using SQL and R, with optional Julia or Java.
Snowflake Data Engineer — Cloud Data Pipelines & Analytics
Builds and maintains Snowflake-based cloud data pipelines and analytics solutions using SQL/ETL, modeling and integrating data for clients.
Data Engineer: AWS Cloud Data Pipelines
Design and maintain AWS-based data pipelines using S3 and Glue to ensure reliable, scalable data processing and analytics for clients.
Senior Data Engineer – GCP & Data Pipelines
Build and maintain scalable GCP data pipelines using Python and SQL to process and analyze sustainability-focused datasets.
GCP Data Engineer — Cloud Data Pipelines & Big Data
Builds and maintains Google Cloud data pipelines and big-data infrastructure for clients, leveraging GCP services and best practices.
Senior Data Engineer — Cloud Data Pipelines & Analytics
Senior Data Engineer designs and builds cloud data pipelines and analytics systems using Microsoft SQL Server and cloud data tools for international consulting projects.