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# Graduate Data Engineer / Analyst (Power Platform)

- **Company:** Aiimi Ltd
- **Location:** Milton Keynes, UK
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Computer Programming, Information Engineering, Data Security, Data Systems, Integrated Development Environments, Python (Programming Language), Performance Tuning, Power BI, Standard Sql, Software Engineering, SQL Databases, Microsoft Power Automate, Git, Information Technology, Low-code, Software Version Control, Data Pipelines, Powerapps
- **Published:** August 28, 2026
- **Apply:** https://www.careerjet.co.uk/job/gbeef2f6bd113a067c7ea3a8534e9c5fbc/eaa

## About the Role

* 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.

## Description

We are seeking a Graduate Data Engineer / Analyst (Power Platform) to join our team. 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.
Key responsibilities

 * 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.


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