IT Graduate

RES

13d•Hybrid

About The Position

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. 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.

Requirements

Interest in expanding your knowledge of the renewable energy industry
Excellent communication skills
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
Expected to achieve, or have recently completed, 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

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) 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 the Data Modeller / Analytics Engineer
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.
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.