Data Engineer (33659)

Job title : DATA ENGINEER

Location : Paris, France

Job reference # : 33659

Contract type : Permanent

Language 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.

About Plenitude

Plenitude is an energy company that integrates the retail business and renewable generation with self-consumption and electric mobility solutions, providing energy and gas to more than 10 million homes and businesses across Europe. This partnership represents a major European project integrating the renewable energy business with the retail business, which will enable us to progressively increase our offering of services, infrastructure, and green energy for our customers, providing our team with greater visibility and professional growth.

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.

How to apply

• Applications are only accepted through our online application system.
• Please upload your CV in English .

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