Graduate Data Engineer / Analyst (Power Platform)

Aiimi is a British technology and services company delivering trusted, transformational AI for the enterprise. Through our Workplace AI platform and expert consulting in data, digital, and AI, we help complex businesses unlock the full value of their data and adopt AI at scale. From national security and critical infrastructure to other leading organisations, our customers rely on Aiimi for rapid time to value, peer-to-peer relationships, and technology that sets the global standard. We are seeking a Graduate Data Engineer / Analyst (Power Platform) to join our team. This role sits within our Consultancy Services department, meaning you’ll work directly with clients to understand their needs, design and deliver data solutions, and help them unlock the full value of their data. This is an exciting opportunity for a recent graduate or early-career professional with a passion for data engineering, analytics, and Microsoft Power Platform tools. You’ll play a key role in designing, building, and maintaining data solutions that drive actionable insights and business value for our clients. Design, build, and maintain reports and dashboards in Power BI , including working with data models, relationships, measures, DAX, and performance optimisation. Develop and maintain apps using Power Apps , applying best-practice development approaches and some coding knowledge beyond low-code functionality. Write and optimise SQL queries for data access, transformation, and validation. Use Python for data manipulation, automation, and analysis. Interpret data, identify trends and issues, and translate findings into actionable business insights. Collaborate with colleagues using version control (Git) in a modern development environment. Communicate findings and solutions clearly to technical and non-technical stakeholders. Early career or recent graduate in Computer Science, Data Science, or a equivalent educational experience. Essential: Hands-on experience with Power BI (building dashboards, reports, and data models) and Power Apps (app development, with some coding). Essential: Proficient in SQL and Python for data engineering and analysis. Strong analytical skills with the ability to interpret data and deliver actionable insights. Exposure to version control (Git) and an interest in modern development practices. Willingness to learn and develop skills in areas such as data modelling, data pipelines, workflow automation (Power Automate), and cloud platforms. Excellent communication and teamwork skills. Self-starter with a desire to learn and grow in a collaborative environment. Knowledge of the water industry is a plus. 25 days annual leave (plus bank holidays), increasing by 1 day every two years Flexible working options – remote/hybrid Mental health and wellbeing support, including access to counselling Annual wellbeing allowance (e.g. personal training, fitness, wellness apps) Up to 10% of your salary in employee benefits, including critical illness cover, life insurance, and private healthcare (post-probation) Generous company pension contribution Ongoing professional development and training opportunities