Data Engineer

Meritis kicked off its tech journey in Paris in 2007—and we’ve been growing fast ever since, on a mission to make tech consulting smarter and more human.

Since then, we've been on a bit of a growth spree—spreading across France to cities like Lyon, Bordeaux, and Lille, and even crossing borders to set up shop in sunny Lisbon in 2023.

And the adventure didn’t stop there: in 2025, we touched down in Belgium—ready to boost our clients’ digital game across Europe!

Our 900+ consultants work hand-in-hand with our clients to tackle challenges in Finance, Software Engineering, Cloud & Infrastructure, Data, Cybersecurity, and Project/Product Management.

At Meritis, we believe success goes beyond technical skills—it’s also about excellence, humility, kindness, and strong relationships. Oh—and we’ve landed on the Great Place To Work® list five times, not that we’re counting 😉

For our office in Brussels , we are looking for an enthousiastic Data Engineer !

🚀 Your Mission

Ready to spark change? Join us and help power up the energy revolution of tomorrow!

You will be responsible for designing and implementing scalable, efficient, and robust data solutions, pipelines, models … in line with the Group Standards. The goal is to support our current and future data-driven initiatives.

Your responsibilities include:

• Design, implement, and maintain scalable data architectures, including databases, data lakes (on AWS), and data warehouses in line with the existing Engie tools and frameworks.
• Build and optimize ETL (Extract, Transform, Load) processes to move data from various sources to data repositories.
• Combine diverse data sources into cohesive, unified views (gold datasets) for analysis and reporting purposes.
• Ensure data consistency, accuracy, and quality throughout the data lifecycle.
• Manage and optimize the data infrastructure, including storage, processing, and retrieval systems in terms of efficiency, storage and costs.
• Act as Tech lead to coach other Data engineers & implement best development practices.
• Develop and maintain code for data processing tasks using languages such as Python, Spark, SQL and ensure they are automated and run on a regular basis.
• Work closely with cross-functional teams, analysts, and software developers, to understand data requirements and deliver solutions.
• Collaborate with business stakeholders to gather and understand data-related requirements.
• Collaborate with various teams to ensure the scalability, security, and performance of data systems.
• Create and maintain comprehensive documentation for data processes, pipelines, and architectures.
• Monitor the data platform production systems.
• Share best practices with all data stakeholders, both IT and business.

🛠️ Tech Stack

Mandatory:

• Proven experience as a Data Engineer or in a similar role.
• Proven experience on Data Platform Management.
• Effective Experience with AWS services such as S3, Athena, Glue, Redshift.
• Effective experience in Databricks (preferably on AWS).
• Strong programming skills in Python, Spark, SQL, or another data engineering language.

It's a Plus:

• Knowledge of Dataiku.
• Knowledge of Azure DevOps & release Pipelines.
• AWS certifications ( Cloud Data Engineer).

👤 Profile Required

• Minimum 5 years of relevant experience.
• Proven experience as a Data Engineer in a similar role.
• Effective experience in Databricks (preferably on AWS).
• The goal is to support and guide our client's current and future data-driven initiatives as a member of the Core Data Team.

Dutch or French and English are mandatory. Proficiency in both languages is preferred.