Data Engineer

Computer Futures
Manchester, Greater Manchester, United Kingdom
2 months ago
Applications closed

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LIVE: Senior Data Engineer | Manchester (Hybrid) 🚨

Global Tech | Long‑Term Data Modernisation Programme

I'm working with a global technology organisation embarking on a major, multi‑year data modernisation initiative - and they're looking for a Senior Data Engineer to join their Manchester team on a long‑term contract.

If you're a seasoned engineer with strong communication skills and a passion for modern data tooling, this one's for you.

đź”§ Role Details

Day Rate: ÂŁ500-ÂŁ550 per day (Inside IR35)

Start Date: ASAP - ideally early March (latest: end of March)

Location: Manchester (Hybrid: 3-4 days onsite, typically Tues-Thurs)

Flexibility: Once knowledge transfer is complete → 1 day per week onsite

Contract Length: Until end of year (high chance of extension)

Interview Process: 2 stages

đź§  Essential Skills

DBT

Snowflake

Data Vault 2.0 + Dimensional Modelling

SQL Server Stack

Excellent communication skills (non‑negotiable)

âž• Nice to Have

API work

Kafka

AWS / S3

Grafana

Please connect with me on LinkedIn to have early access to future opportunities: to find out more about our Key Information Documents. Please note that the documents provided contain generic information. If we are successful in finding you an assignment, you will receive a Key Information Document which will be specific to the vendor set-up you have chosen and your placement.

To find out more about Computer Futures please visit

Computer Futures, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales

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Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

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Data Engineering Jobs UK 2026: What to Expect Over the Next 3 Years

Data engineering has become one of the most strategically important disciplines in the entire technology sector — and one of the most reliably in-demand. Every organisation that wants to use data to make decisions, train AI models, personalise products, manage risk, or understand its customers depends on data engineers to build the infrastructure that makes any of that possible. Without well-designed, reliable data pipelines, the most sophisticated machine learning model is worthless and the most ambitious analytics strategy is undeliverable. That foundational importance has made data engineering hiring remarkably resilient through the technology market corrections of the past few years. Where headcount reductions fell heavily on some engineering disciplines, demand for data engineers held firm — because the work of building and maintaining data infrastructure cannot be deferred in the way that some product development can. The data keeps coming. The pipelines need to work. But the data engineering jobs market of 2026 is not simply a stable version of what it was three years ago. The discipline has undergone a series of architectural shifts — from batch to streaming, from on-premise data warehouses to cloud-native lakehouses, from hand-rolled pipelines to declarative transformation frameworks, and most recently toward AI-augmented data engineering workflows that are beginning to reshape what the role looks like in practice. The employers hiring data engineers today are asking for a meaningfully different skill set than those hiring three years ago. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which architectural patterns are becoming standard, which technologies are defining the modern data stack, and how the definition of a data engineering career is evolving toward a richer intersection of infrastructure, analytics, and AI enablement. This article breaks down what the UK data engineering jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

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