Data Engineering Lead

Corecom Consulting
York, North Yorkshire, YO1 8RS, United Kingdom
Last month
£75,000 – £90,000 pa

Salary

£75,000 – £90,000 pa

Seniority
Lead
Posted
16 Apr 2026 (Last month)

Data Engineering Lead / York (hybrid) / £75k-£90k

We're hiring a Data Engineering Lead to take ownership of a growing Azure-based data platform, working as part of a small, high-impact team.

This is a hands-on technical leadership role focused on building, improving, and stabilising data pipelines and architecture - while also supporting a broader BI environment.

What do we need from you?

Strong experience with Azure Data Factory and the Microsoft data stack

Solid SQL and Python skills

Experience building and maintaining data pipelines and integrations

Ability to work in a hands-on, delivery-focused role

Comfortable operating in a small team with high ownership

Understanding of modern data platforms (Fabric exposure desirable)

Role overview

You'll take ownership of the data engineering layer, responsible for ingesting and transforming data from multiple sources into a large-scale reporting environment.

The platform currently combines:

Azure Data Factory pipelines

A large Power BI estate

A legacy warehouse (partially outsourced)There is a clear roadmap toward modernisation and migration (Fabric), and you'll play a key role in shaping that journey.

Key focus areas

Build and maintain robust data pipelines

Manage data ingestion from multiple sources

Support and optimise data flows feeding Power BI

Work closely with BI and business teams to deliver data solutions

Improve platform stability, performance, and scalability

Contribute to future platform modernisation and migration

Help reduce reliance on legacy and outsourced componentsWhy join?

High ownership in a small, agile team

Opportunity to work across engineering and platform design

Involvement in a major platform transformation (Fabric)

Real impact on business-critical data systems

A role where you'll build, fix, and improve - not just maintain

If you're a hands-on Lead Data Engineer who enjoys building scalable platforms and taking ownership of delivery, apply now with a CV to Dominic Brown on

Data Engineering Lead / York (hybrid) / £75k-£90k

Related Jobs

View all jobs

Data Engineering Lead

ECS Resource Group Newark on Trent, Nottinghamshire, NG24 1EA, United Kingdom
£60,000 – £90,000 pa Hybrid

Data Engineering Lead

Tatton Recruitment South Bank, London, SE1 9PZ, United Kingdom
£750 – £800 pd

Data Engineering Lead

Corecom Consulting York, North Yorkshire, YO1 8RS, United Kingdom
£75,000 – £90,000 pa

Finance Data Engineering Lead

Experis London, United Kingdom
£750 – £950 pd Hybrid

BI and Data Engineering Lead

Technify Talent Limited Leeds, West Yorkshire, United Kingdom
£40,000 – £50,000 pa

Data Platform Manager

Deerfoot Recruitment Solutions Luton, Bedfordshire, United Kingdom
£70,000 pa Remote

Industry Insights

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

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

Where to advertise data engineering jobs UK in 2026: the specialist boards and channels that reach Spark, dbt, Snowflake and platform engineering talent. 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 Jobs UK 2026: roles, salaries and the trends shaping UK data engineering hiring over the next three years — Spark, dbt, lakehouse and AI. 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

New Data Engineering Employers to Watch in 2026: a UK and global shortlist of data platform companies hiring data engineers, pipeline and lakehouse specialists. 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.