IT Graduate

Do you want to work to make Power for Good?

We're the world's largest independent renewable energy company. We're guided by a simple yet powerful vision: to create a future where everyone has access to affordable, zero carbon energy.

We know that achieving our ambitions would be impossible without our people. Because we're tackling some of the world's toughest problems, we need the very best people to help us. They're our most important asset so that's why we continually invest in them.

RES is a family with a diverse workforce, and we are dedicated to the personal professional growth of our people, no matter what stage of their career they're at. We can promise you rewarding work which makes a real impact, the chance to learn from inspiring colleagues from across a growing, global network and opportunities to grow personally and professionally.

Our competitive package offers a wide range of benefits and rewards.

This is a hybrid role with 4 days per week spent in the Kings Langley office in Hertfordshire.

The RES Global Graduate Programme is a two-year development programme designed to provide graduates with meaningful work experience, professional development and exposure to different areas of the renewable energy industry.

Starting in September 2027, over the course of the programme, graduates will complete three rotations of approximately eight months each across different areas. Each rotation is designed to build technical capability, commercial awareness and leadership potential while helping graduates develop a broad understanding of RES and the renewable energy industry.

Graduates will work on real projects, collaborate with experienced colleagues and be encouraged to take ownership of their development while making meaningful contributions to the business. Through a combination of structured learning, practical experience and professional development opportunities, graduates will build the skills and experience needed for a successful long-term career at RES.

Trusted from Day One

At RES, graduates are given meaningful work from the beginning. You will be trusted to contribute, encouraged to share your ideas and supported by leaders and colleagues who are invested in your success.

Challenge That Moves You Forward

The most significant learning happens through real work. Through exposure to different projects, teams and business challenges, you will develop the skills and experience needed to grow your career in renewable energy.

Purpose That Feels Real

You will contribute to projects that support the transition to affordable zero carbon energy. The work you do will have a visible connection to the future we are helping to create.

Inquisitive People. Real Care.

You will work alongside smart, curious and supportive colleagues who share their knowledge, invest in each other's development and create an environment where people can learn, grow and succeed together.

Accountabilities

• Design and build dimensional and semantic data models (star schemas) and Power BI semantic models over the Fabric Lakehouse.
• Develop measures and certified metric definitions (DAX) that form part of the team's trusted, governed semantic layer.
• Prepare and shape data within Microsoft Azure Fabric (Lakehouse, Dataflows Gen2) to the standard needed for reliable modelling, becoming self-sufficient with the data.
• Ensure models are documented, tested and meet data-quality standards, working with the Data Governance & Quality Lead.
• Use next Gen Technology and AI to automate and innovative with data modelling.
• Own and deliver a defined data modelling project, under theData Modeller / Analytics Engineer

Accountabilities

• Deliver analysis, advanced analytics, reports and self-serve datasets that answer real business questions.
• Use next Gen Technology and AI to automate and innovative with reporting and analytics.
• Work directly with stakeholders across business domains (e.g. people & culture, operations) to shape requirements and deliver insight.
• Build clear, trustworthy reports and advanced analytics and support the adoption of self-serve and AI-assisted analytics.
• Communicate findings and data stories clearly to non-technical audiences.
• Own and deliver a defined analytics project, under the Analytics, Reporting & AI Lead.

Accountabilities

• Support machine learning and GenAI use cases, from scoping through to prototype, under the Senior AI/ML Engineer.
• Contribute to making data AI-ready —…