Data Engineer

RedRock Resourcing
Birmingham, West Midlands (county), United Kingdom
Yesterday
£55,000 – £65,000 pa

Salary

£55,000 – £65,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Mid
Education
Degree
Posted
5 Jun 2026 (Yesterday)

Data Engineer | Azure | Databricks | Lakehouse

We’re looking for a Data Engineer to join a high-performing data function, playing a key role in building and scaling a modern Azure-based data platform.

This is an opportunity to work on a Databricks lakehouse environment, delivering robust, scalable pipelines that power critical analytics and business insights.

💡 The Role

You’ll be responsible for designing, building, and maintaining end-to-end data pipelines, taking data from source systems through to curated datasets ready for reporting and analytics.

Working closely with architecture and delivery teams, you’ll help shape a high-quality, governed, and observable data platform

🔧 What You’ll Be Doing

* Build and maintain Azure & Databricks pipelines

* Develop scalable ELT processes using PySpark

* Implement data quality, lineage, and security controls

* Own CI/CD pipelines and Infrastructure as Code (Terraform)

* Ensure pipelines are testable, observable, and easy to troubleshoot

* Optimise data services for performance and cost efficiency

* Collaborate with stakeholders to translate requirements into data solutions

* Contribute to Agile delivery with clear documentation and best practices

🧠 What We’re Looking For

* Strong experience with Azure Data Platform & Databricks

* Proven track record building scalable data pipelines

* Hands-on with PySpark / Spark-based processing

* Experience with Terraform & CI/CD pipelines

* Solid understanding of data governance, quality, and lineage

* Familiarity with Git-based workflows and DevOps practices

* Strong communication skills and ability to work with cross-functional teams

Related Jobs

View all jobs

Data Engineer

Experis London, City And County Of the City Of London, United Kingdom
£465 – £466 pd Remote

Data Engineer

hireful Exeter, United Kingdom
£50,000 – £55,000 pa Hybrid

Data Engineer

Robert Walters Manchester, United Kingdom
£55,000 – £60,000 pa Hybrid

Data Engineer

Orbit Group Binley Woods, Warwickshire, United Kingdom
£43,760 – £54,697 pa On-site

Data Engineer

Pontoon Bristol, Bristol (county), United Kingdom
£600 – £650 pd

Data Engineer

Hays Technology Salisbury, Wiltshire, United Kingdom
£50,000 – £52,750 pa Hybrid Clearance Required

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.