Data Engineer

Posted Yesterday
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Levallois-Perret, Hauts-de-Seine, Île-de-France, FRA
In-Office
Mid level
Energy
The Role
Designs, builds, and maintains scalable data pipelines and products using Azure and Databricks. Responsibilities include ELT/ETL development, workflow orchestration, data quality and observability, testing, monitoring, CI/CD, performance and cost optimization, production troubleshooting, documentation, and stakeholder collaboration. The role requires strong Python and SQL skills, modern data engineering experience, data governance knowledge, and French and English proficiency.
Summary Generated by Built In

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, which offers a range of great professional opportunities for the whole team. 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.

About Eni

Eni is a global energy company operating in 61 Countries, with over 30,000 employees. Originally an oil & gas company, it has evolved into an integrated energy company, playing a key role in ensuring energy security and leading the energy transition. Eni's goal is to achieve carbon neutrality by 2050 through the decarbonization of its processes and of the products it sells to its customers. In line with this goal, Eni invests in the research and development of technologies that can accelerate the transition to increasingly sustainable energy. Renewable energy sources, bio-refining, carbon capture and storage are only some examples of Eni's areas of activity and research. In addition, the company is exploring game-changing technologies such as fusion energy – a technology based on the physical processes that power stars and that could generate safe, virtually limitless energy with zero emissions.

Working at Eni

At Eni we believe in enterprising people, capable of making a difference and making their contribution with passion and innovation, to respond to the global challenges of the energy transition. For us, the skills and attitudes of each individual, continuous training, and diversity and inclusion are fundamental. We promote flexible ways of working with particular attention to well-being, welfare and work life-balance. Eni will evaluate applications considering plurality and diversity as sources of enrichment. If your application is assessed to be among those most in line with the required profile, you will be contacted to continue the selection process. Whatever your ambition, at Eni you can find the tools to make it happen.

Energy for action takers

#LI-PLU1
#LI-EIRL 
 

Skills Required

  • Master’s degree in computer science, distributed systems, data engineering, engineering, or equivalent
  • Significant experience in data engineering
  • Experience developing, optimizing, and maintaining scalable data ingestion and transformation pipelines
  • Experience with Databricks, Spark, Airflow, and Azure Data Factory
  • Strong knowledge of SQL and Python
  • Familiarity with Git, CI/CD practices, and deployment workflows
  • Experience ensuring data quality, consistency, and performance across data platforms
  • Ability to apply data governance principles
  • Ability to collaborate with stakeholders and translate data requirements into technical solutions
  • Strong analytical and complex problem-solving skills
  • French proficiency at least C1
  • English proficiency at least B2
  • Hands-on Power BI experience
  • Airflow experience
  • Jenkins experience
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The Company
Year Founded: 1953

What We Do

Eni is a global integrated energy company that develops and delivers energy solutions for individuals and businesses. It supports a just energy transition, with a focus on preserving the planet and enabling efficient, sustainable access to energy. Its operations are grounded in innovation, technical capabilities, responsibility, integrity, and transparency across markets, customers, and communities worldwide.

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