At ENGIE, we believe the energy transition starts with data. Every solar farm, every battery storage system, every turbine needs a digital heartbeat — visible, auditable, and optimizable from day one. That's where you come in.

 

We're growing our Site Digitization Hub, the global Center of Excellence that connects renewable energy sites to ENGIE's corporate SCADA backbone. You'll own the engineering that makes 22 country entities digitally ready at handover. This is hands-on, high-impact work at the intersection of industrial OT and modern cloud architecture.

 

 

• Own the architecture and evolution of SDH digital solutions on Azure — from data ingestion and extraction workflows to structured output generation in Excel, JSON, and downstream formats.
• Design and build scalable data pipelines that extract structured information from technical PDFs and Excel deliverables, combining deterministic parsing with LLM-based vision components.
• Architect the Azure cloud footprint for SDH tooling — compute, storage, eventing, identity, and observability — aligned with ENGIE's cloud governance standards.
• Partner with SCADA engineers to translate recurring manual work into production-grade internal tools, including the Tag Mapping automation pipeline.
• Set engineering standards for the SDH codebase: structure, testing, auditability, CI/CD, and code review discipline.
• Mentor junior developers and raise the technical maturity of the team.
• Own the full software lifecycle for SDH-built tools — from requirements capture through design, deployment, and operations.

 

 

• Degree in Software Engineering, Electrical Engineering, Electronics & Communication, or equivalent discipline.
• 5 to 9 years of hands-on experience in utility-scale renewable energy SCADA engineering with strong Python depth.
• Deep working knowledge of industrial OT environments: SCADA concepts, tag lists, equipment hierarchies, OPC UA/DA, and at least one industrial platform such as Ignition, GE Proficy, or Kepware.
• Strong command of Python data tooling (Pandas, Polars, NumPy) and modern API frameworks like FastAPI.
• Demonstrated experience architecting cloud-based data pipelines in production — Azure strongly preferred.
• Experience with LLM-based extraction or vision-to-structured-data pipelines, including prompt design and human-in-the-loop review patterns.
• Excellent command of English, both written and spoken.

 

 

 

 

• A competitive salary package reflecting your seniority and expertise in the renewable energy sector.
• Career growth within a global organization leading the energy transition across 22 countries.
• A diversity of missions — from cloud architecture to OT integration — ensuring no two weeks look the same.
• Stimulating, technically challenging work at the cutting edge of industrial digitization and AI-assisted engineering.
• A friendly, collaborative team environment where knowledge-sharing is the norm.
• Flexibility measures that support your work-life balance within an on-site role.

 

 

At ENGIE, every talent has a role to play in accelerating the energy transition. Make a difference and enjoy a fulfilling professional experience. Take on exciting challenges and build a career path that reflects who you are. Join us and be part of the adventure of the century!

 

ENGIE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, gender, sexual orientation, gender identity or expression, religion, disability, age, or any other protected characteristic. We celebrate diversity because it drives innovation and strengthens our ability to deliver sustainable energy solutions worldwide.

 

If you require reasonable accommodations during the application or interview process, please let us know. We are committed to ensuring an accessible experience for every candidate.