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IMP Software

Senior Data Engineer

United Kingdom
£70k/yr
Posted about 24 hours ago
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Job title: Senior Data Engineer

Salary: up to £70,000
Reports to: Head of Data Engineering
Location: Remote (UK), with optional coworking in Peterborough, Exeter, or Leeds

The Opportunity

IMP builds the finance software that Multi-Academy Trusts use to plan budgets, manage their money, and run procurement across their schools. Since 2019 we've grown to around 550 trusts and 6,000 schools, roughly half the MAT market, with a 4.9/5 customer rating and fresh investment behind us. We hold one of the richest datasets on MAT finance in the sector, and we're building a data platform to unlock it: cross-trust benchmarking, AI-driven querying, and a new wave of analytics.

You'll join right at the start as our first Data Engineer, building that platform hands-on alongside the Head of Data Engineering. You'll own the design and delivery of major components, set the technical patterns and quality bar early, and grow into mentoring as the team expands. The work you ship in the first year will be the foundation everything else is built on.

The Work

Working within the architecture set by the Head of Data Engineering, you'll:

  • Help design and stand up the data warehouse / lakehouse, and build the pipelines that ingest data from our source systems into it.
  • Build the centralised data model and the dbt transformation layer, version-controlled, tested, and documented.
  • Build data quality validation, monitoring, and alerting, and implement row-level security for multi-tenant data.
  • Build and maintain the semantic / metrics layer: one governed definition of each metric, in parity with our agreed source of truth (ASOT), feeding Power BI, in-product reporting, and the AI layer alike.
  • Build the data foundations for our AI and intelligence layer, so "chat with your data" and proactively pushed insights are accurate and safe to surface to trusts inside the product.
  • Help drive platform and tooling decisions, and set the bar on engineering quality.

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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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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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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It searches the market for you

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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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Strong

Only hits

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What You'll Need

Essential

  • Hands-on experience designing, building, and running data pipelines into a cloud warehouse or lakehouse in production.
  • Experience with a modern cloud data platform: Snowflake, Databricks, or similar.
  • Strong SQL and data modelling: dimensional modelling and slowly changing dimensions.
  • Solid experience with a modern transformation framework such as dbt (ideal), Matillion, or PySpark.
  • Experience extracting data from source databases, with bonus points for multi-tenant SaaS data or single-tenant to centralised migrations.
  • Strong judgment on data quality, and the ability to own technical decisions and explain the trade-offs.
  • Solid software engineering practices: version control with Git, CI/CD, and a disciplined software development lifecycle (SDLC).
  • Comfortable as a senior IC, setting standards and mentoring as the team grows, without needing formal line management to do it.

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Nice to have

  • Python for data engineering: pipelines, tooling, and automation.
  • AI-assisted engineering: comfortable using AI coding agents (e.g. Claude Code) to build and ship faster.
  • Some data science grounding (statistical or machine-learning methods) relevant to benchmarking and analytics.
  • AI/ML data patterns (LLM-ready data, text-to-SQL, RAG), and semantic / metrics layers (dbt metrics, Cube.dev, or similar).
  • Data governance, GDPR, or anonymisation; SQL Server background; experience in a SaaS or product company.
  • Typically 5+ years in data engineering, with a track record of owning production pipelines and data models end to end. Depth of craft and judgment matter more than an exact number of years.

Working Here

We use AI coding tools extensively, and the platform you build will be the foundation for IMP's AI features, so you should be excited about that direction. We're remote-first, collaborating over Teams with optional coworking days each month. As the platform grows there's real room to progress toward lead or principal roles.

Benefits:

  • 27 days of holiday per year plus bank holidays (with a buy option up to an additional 5 days)
  • Enhance Maternity and Paternity leave
  • AXA Health insurance including dental, optical and mental health
  • Broadband allowance
  • Home office stipend
  • Life assurance (4 x basic salary)
  • Encouraged and funded CPD
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