IT Graduate

Renewable Energy Systems Ltd; Kings Langley; Hybrid; GBP 25,000 - 35,000; Full time

Job summary

Renewable Energy Systems Ltd is offering a Global Graduate Programme starting September 2027 in a hybrid role with four days in the Kings Langley office. The two-year programme provides meaningful work, professional development and exposure across data analytics, AI and renewable energy, with three rotations designed to build technical capability and leadership potential.

You'll gain hands-on experience on real projects, collaborate with experienced colleagues and grow your skills through

Qualifications

• Bachelor's degree completed or on track to complete by Summer 2027.
• Minimum 2:1 classification and strong academic performance.
• Interest in renewable energy and STEM disciplines.

Responsibilities

• 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) for semantic layer.
• Prepare and shape data in Microsoft Azure Fabric to standard for reliable modelling.
• Ensure models are documented and tested with data-quality standards.
• Use next-gen technology and AI to automate and innovate with data modelling.
• Own and deliver a defined data modelling project under the Data Modeller / Analytics Engineer.

Skills

Teamwork

Analytical skills

SQL basics

Data modelling

Power BI exposure

Python basics

AI concepts

Time management

Self-starter

Education

Bachelor's degree in Data Science / Data Analytics / AI / ML

Tools

Microsoft Fabric

Power BI

Job description

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 position

Global Graduate Programme

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.

Why Join 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

Rotation 2- Analytics

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.

Rotation 3 - AI

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 — metadata, descriptions, guardrails and evaluation — so AI tools return accurate, trustworthy answers.
• Help deploy, monitor and evaluate models and AI/self-serve tooling, delivering value and identifying limitations.
• Own and deliver a defined applied-AI or data-science project during the placement.

Knowledge and Skills

• Interest in expanding your knowledge of the renewable energy industry
• Ability to work effectively as part of a team and to adapt to your different placement cycles with ease
• Strong analytical and problem-solving skills, with sound attention to detail and a commitment to data quality
• Foundational knowledge of SQL and data modelling concepts
• Exposure to, or a keen interest in, the Microsoft analytics stack (Microsoft Fabric, Power BI)
• Familiarity with a programming language such as Python
• Foundational knowledge and experience in AI and data science, and their practical applications and limitations
• Ability to manage your own time and deliver defined pieces of work with increasing autonomy
• A proactive, self-starting attitude and willingness to learn across modelling, analytics and AI

Qualifications

Expected to have completed in the last 2 years, or be on track to complete in Summer 2027, a bachelor’s degree in one of the following disciplines.

• Data Science
• Data Analytics
• Artificial Intelligence or Machine Learning

Applicants should be able to demonstrate strong academic performance (minimum 2:1 classification) and a genuine interest in the renewable energy industry.

Why RES?

• A genuinely global data platform with real complexity and ambition behind it. A modern, cloud-first stack — Azure, Fabric, Synapse, and active investment in AI tooling.
• Work that matters — your work will inform decisions at ExCo and Board level in a company actively fighting climate change.
• Join a brand new, agile, global data and analytics team at the heart of AI, innovation, Next Gen technology and driving innovation for competitive advantage for RES.
• You will have a diverse portfolio and be able to lead on many types of work, honing and developing strong skills in Artificial Intelligence to shape your future career at the forefront of the latest technologies.
• A collaborative, cross-functional data function with architecture, AI, science, analytics, and engineering working closely together.
• Competitive salary, benefits, and commitment to your professional development.

The closing date for this role is 2 nd October however we reserve the right to close this vacancy before the stated closing date should we receive a high volume of applications.

At RES we celebrate difference as we know it makes our company a great place to work. Encouraging applicants with different backgrounds, ideas and points of view, we create teams who work together to solve complex problems and design practical solutions for our clients. Our multiple perspectives come from many sources including the diverse ethnicity, culture, gender, nationality, age, sex, sexual orientation, gender identity and expression, disability, marital status, parental status, education, social background and life experience of our people.