Senior Data Engineer - Paris - Hybrid
Global Enterprise Partners
Paris, France
27 days ago
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Apply on www.globalenterprisepartners.com
Prepare application
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Role details
Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source
Tech stack
Agile Methodology
Airflow
Continuous Integration
Data Architecture
Information Engineering
Extract Transform Load (ETL)
Data Warehousing
Python (Programming Language)
Power BI
Standard Sql
Web Analytics
GitHub Copilot
+5 more
Retrieval-Augmented Generation
Git
Data Layers
Build Management
Databricks
Job description
For a global leader in consumer healthcare, we are looking for an experienced Senior Data Engineer to join a transformation project. This role will be instrumental in building a centralized, historized data platform that enables the business to measure and optimize the performance of approximately 300 brand websites globally., * Design and build data models, pipelines, and semantic layers in Databricks.
- Develop ETL/ELT processes and integrate data from multiple sources.
- Define architecture using Databricks, dbt, and Apache Airflow.
- Support data quality, testing, documentation, Git, and CI/CD practices.
- Translate business requirements into scalable technical solutions., * Power BI, GitHub Copilot, AI-assisted development, RAG, digital analytics, or website data experience.
Requirements
- 7+ years in Data Engineering, Data Architecture, or Data Modelling.
- Strong hands-on experience with Databricks.
- Expert knowledge of SQL and Python.
- Experience with dbt, Apache Airflow, and ETL/ELT frameworks.
- Knowledge of data warehousing, historized models, Git, and CI/CD.
- Strong communication skills and Agile experience.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.globalenterprisepartners.com
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
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