Data Engineer | | Learn Snowflake | Private Equity

Opus Recruitment Solutions
London, United Kingdom
Last week
£65,000 – £75,000 pa

Salary

£65,000 – £75,000 pa

Job Type
Contract
Work Location
Hybrid
Seniority
Mid
Education
Degree
Posted
30 Apr 2026 (Last week)

Benefits

Benefits

Data Engineer (Snowflake / AWS) – 12 Month FTC

📍 London – Hybrid (2–3 days onsite, flexible)

💰 £65,000 – £80,000 + benefits

The Opportunity

We’re working with a PE-backed, data-driven media and analytics business undergoing a major transformation as they bring their data platform in-house.

This is a high-impact opportunity to join during a critical transition away from a third-party vendor, where you’ll play a key role in stabilising, maintaining, and evolving a modern cloud-based data platform.

You’ll gain exposure to large-scale, real-world data, alongside emerging AI-driven initiatives, with the opportunity to grow your skills and ownership over time.

The Role

You’ll work hands-on across an established AWS and Snowflake environment, supporting the existing platform while contributing to its ongoing improvement.

Key responsibilities:

Supporting and maintaining AWS infrastructure (S3, EC2, ECS, Lambda)

Developing and optimising data pipelines using Python and SQL

Building and improving data models and semantic layers

Managing deployments through Git-based workflows

Working within a Snowflake data platform

Supporting infrastructure-as-code practices using Terraform

Helping enable analytics and AI-driven use casesAbout You

We’re looking for a hands-on Data Engineer with a solid foundation who’s keen to grow in a modern data environment.

You might already be working as a Data Engineer, or looking to step into a more impactful Data Engineer role. This would suit a Data Engineer who enjoys getting stuck into real-world problems, or a developing Data Engineer ready to take the next step. Ultimately, this is a role for a curious, motivated Data Engineer who wants to learn and grow.

Ideally, you’ll have:

Strong SQL skills (data modelling, transformations)

Experience with Python

Exposure to cloud platforms (AWS preferred)

Familiarity with Git/version control

Some experience working with modern data platforms (e.g. Snowflake)Nice to have:

Exposure to Terraform

Experience supporting existing data platforms

Interest in AI / LLM tools (e.g. Claude)👉 You don’t need to tick every box.

What matters most is a strong foundation, curiosity, and a willingness to learn.

Why Apply?

Join a business-critical transformation programme

Work with a modern stack: AWS, Snowflake, Python

Opportunity to develop and grow into greater ownership

Exposure to AI-led data initiatives

Be part of a PE-backed business investing heavily in data and technology

If this sounds like something up your street please get in touch with me, Kumbirai Mafini, (url removed)

Related Jobs

View all jobs

Senior Data Engineer – Central London

Ada Meher Mayfair, London, W1K 3DN, United Kingdom
£75,000 – £85,000 pa Hybrid

Senior SQL Database Engineer

Spectrum IT Recruitment United Kingdom
£70,000 – £73,000 pa Remote

Senior SQL Database Engineer

Spectrum IT Recruitment Nottingham, Nottinghamshire, United Kingdom
£70,000 – £73,000 pa Remote

Junior Data Enigneer

hireful London, United Kingdom
£40,000 – £45,000 pa Hybrid

Lead Data Platform Engineer | |+ 4 day week

Akkodis United Kingdom
£70,000 – £85,000 pa Remote

Azure SQL / Fabric Data Engineer

Opus Recruitment Solutions Exeter, United Kingdom

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

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

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

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.

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.