Senior Databricks Data Platform Engineer - Hybrid Paris

Global Enterprise Partners; Paris; Hybrid; EUR 90,000 - 120,000; Full time

Job summary

Global Enterprise Partners is seeking an experienced Senior Data Engineer to lead the design and delivery of a centralized, historized data platform. You will build data models, pipelines, and semantic layers in Databricks to measure and optimize the performance of ~300 brand websites.

The role requires SQL, Python, dbt, Airflow, data warehousing, Git, and CI/CD, plus strong communication and Agile experience. Paris-based hybrid work on a 3-month contract.

Qualifications

• 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.

Responsibilities

• 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.

Skills

SQL

Python

Data Modeling

Data Warehousing

Agile

Communication

Tools

Databricks

dbt

Apache Airflow

Git

CI/CD

Job description

Global Enterprise Partners is seeking an experienced Senior Data Engineer to lead the design and delivery of a centralized, historized data platform. You will build data models, pipelines, and semantic layers in Databricks to measure and optimize the performance of ~300 brand websites.

The role requires SQL, Python, dbt, Airflow, data warehousing, Git, and CI/CD, plus strong communication and Agile experience. Paris-based hybrid work on a 3-month contract.