Global Data & AI Graduate Programme – Hybrid

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

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