Data Engineer (F/M/X)

Are you passionate about data, technology and renewable energy?
Do you want to contribute to the digital transformation of renewable operations and help accelerate the energy transition?
Are you curious, hands-on and eager to learn in a fast-growing operational environment?

If so, this could be the perfect opportunity to make a tangible impact while building your expertise in a sector that is shaping the future.

For ENGIE Renewables & Batteries BeNeLux O&M, located in Brussels we are currently looking for a Data Engineer (F/M/X).

ENGIE Renewables & Batteries BeNeLux operates over 2 GW of wind, solar, hydro and battery assets, with ambitious growth plans toward 3 GW by 2030.

As a Data Engineer within the Operations & Performance team, reporting to the Operations & Performance Manager, you will help drive the digitalization of our renewable operations across Belgium and the Netherlands by delivering reliable data, smart analytics and innovative digital solutions.

YOUR RESPONSIBILITIES as Data Engineer

• Own and optimize the production data chain for ENGIE’s renewable assets, including SCADA and industrial data environments.
• Support the integration of new wind farms, battery storage systems and related monitoring platforms.
• Develop and improve dashboards, automated reporting and data quality processes using tools such as Power BI and Grafana.
• Contribute to digital innovation projects, including AI deployment and new data-driven solutions.
• Coordinate technical implementations and act as a trusted partner for internal and external stakeholders.

YOUR PROFILE as Data Engineer

• Master's degree in Engineering, Computer Science, Data Engineering or a related field.
• Strong interest in data, digital technologies and renewable energy.
• Familiarity with data visualization tools, databases, automation or industrial data environments.
• Analytical, solution-oriented and eager to learn.
• Strong communication skills and ability to collaborate with diverse stakeholders.
• Fluent in English; Dutch and/or French are a plus.
• Willing to travel occasionally within Belgium, the Netherlands and France.

WE OFFER YOU as Data Engineer

• A meaningful role combining data, digital technologies and sustainability, with a direct impact on the performance of ENGIE's renewable assets.
• The opportunity to work on large-scale wind, solar, hydro and battery storage projects across Belgium and the Netherlands.
• Exposure to cutting-edge technologies, data platforms, digital transformation initiatives and AI-driven solutions.
• A collaborative environment where innovation, ownership and continuous learning are encouraged.
• Cutting-edge trainings organized by ENGIE University to support your professional and personal development.
• A competitive salary package, with numerous extra-legal benefits:
• A tax-optimized bonus plan
• Hospitalization and medical expenses insurance for you and your family members
• Meal vouchers of €10 (employee contribution: €1.09)
• An attractive retirement plan
• An electric company car with charging pass for Belgium and neighboring countries, or a green alternative through our mobility plan
• A public transport subscription; our offices are located less than 10 minutes from Brussels North station
• A healthy work-life balance thanks to 34 holidays, hybrid working possibilities and flexible working arrangements.
• A variety of wellbeing initiatives through ENGIE's Body-Mind & Social Program, including access to sports and wellness activities.

OUR RECRUITMENT PROCESS

• Short pre-screen interview with the Talent Acquisition Partner
• HR interview
• Online assessment
• Final interview with the hiring manager
• Job offer

Research shows that men apply when they meet 60% of the requirements while women only apply when they are convinced they meet 100%. Don’t let that hold you back. We'd love to hear from you!

MORE ABOUT US

ENGIE is committed to promoting equal opportunity employment and fostering an inclusive workplace where everyone can thrive.

At ENGIE, every talent has a role to play in accelerating the energy transition.