Data Engineer

Job title : DATA ENGINEERLocation : Paris, FranceJob reference # : 33659Contract type : PermanentLanguage requirements : French (at least C1) and English (B2)

At Eni , we are looking for a Data Engineer to join Eni Plenitude France . You will help design, build and improve scalable data solutions across our data platform.

Main responsibilities

• 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.

Skills and experience required

• 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.