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Aiimi

Graduate Data Engineer / Analyst (Power Platform)

Milton Keynes
Posted about 21 hours ago
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About Aiimi

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.

Role Overview

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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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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.

Qualifications

  • 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.

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Benefits

  • 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
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Skills

Power BI
Power Apps
SQL
Python
Data engineering
Data analysis
Git
Data modeling
Power Automate
Cloud platforms
Dashboard design
Report building
Data visualization
Workflow automation
Communication skills
Teamwork

Location

Milton Keynes, England, United Kingdom

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