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# Data Engineer

- **Company:** ENI France
- **Location:** Levallois-Perret, France
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Airflow, Microsoft Azure, Continuous Integration, Data Validation, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Systems, Distributed Systems, Python (Programming Language), Networking Basics, Power BI, Standard Sql, Data Ingestion, Azure Data Factory, Delivery Pipeline, Apache Spark, Git, Information Technology, Data Management, Data Pipelines, Jenkins, Databricks
- **Published:** June 29, 2026
- **Apply:** https://fr.indeed.com/viewjob?jk=ec834aad0b85e2c0

## About the Role

Do you have experience in Spark?, Do you have a Master's degree?, * Master's degree in computer science, distributed systems, data engineering, engineering or equivalent.

 * Significant experience in Data Engineering.
 * Solid experience in developing, optimising and maintaining scalable data ingestion and transformation pipelines using modern data technologies (Databricks, Spark, Airflow, Azure Data Factory).
 * Strong knowledge of SQL and Python, with the ability to write clean, readable and maintainable code.
 * Familiarity with Git, CI/CD practices and deployment workflows in a data engineering environment.
 * Hands-on experience with Power BI is a plus, including dataset preparation, data modelling, dashboard support, and enabling business reporting capabilities.
 * Ability to collaborate with stakeholders to understand data requirements and translate them into efficient technical solutions.
 * Experience in ensuring data quality, consistency and performance across data platforms, while applying data governance principles.
 * Strong analytical mindset, with the ability to solve complex data challenges and continuously improve data solutions.

## Description

* Design, build, and maintain scalable data pipelines and products on Azure and Databricks.
 * Ensure data quality, reliability, and observability across the data lifecycle.
 * Translate business needs into robust technical solutions, delivering accurate data to stakeholders.
 * Contribute to platform standards (coding, CI/CD, data modelling, testing, monitoring).
 * Troubleshoot production issues, including root cause analysis and prevention.
 * Optimise performance, cost efficiency, and maintainability of data workflows.
 * Develop and enhance ELT/ETL pipelines with a focus on scalability.
 * Orchestrate workflows using Azure Data Factory and Databricks (Airflow a plus).
 * Implement data quality checks, testing, and pipeline monitoring.
 * Work with Azure services (storage, networking basics, security, cost awareness).
 * Support CI/CD and release processes (Jenkins a plus).
 * Produce clear documentation and share knowledge within the team.


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