Data Engineer

Assystem, Switch On
United Kingdom
3 days ago
£40,000 – £50,000 pa

Salary

£40,000 – £50,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Mid
Education
Degree
Posted
3 Jun 2026 (3 days ago)

Company Description

Finding solutions to climate change is the priority of the 21st century, and means switching to low-carbon energy. At Assystem, our mission is to accelerate the energy transition worldwide. To achieve this, our 7,500 Switchers combine their historical engineering expertise and project management with digital technologies.

In our 12 countries (Europe, Middle East, Asia) of operation, we are working on the production and distribution of low-carbon electricity, through the development of nuclear and renewable energies. We are also supporting the modernisation and development of energy grids, managing the setup and siting for new transmission and distribution networks, and using hydrogen to decarbonise the transport and industry sectors.

Job Description

Digital Engineering role with one of our two largest midlands based customers, either within renewable energy, or large civil infrastructure. Requirements of the role remain the same across either client;

Database Design & Development

Designing and developing database architecture and table structures

Creating databases on Azure

Configuring security and access controls

Azure Administration

Configuring backups and recovery policies

Managing user groups and permissions

General Azure platform administration

ETL & Data Pipelines

Developing ETL pipelines using Data flows Fabric

Building and managing Data Flows within ADF

Excel & Data Integration

Developing Excel templates to read data from multiple sources

Pushing and loading data into the database via Excel

Power BI & Reporting

Designing and developing end-to-end Power BI solutions

Building reports and dashboards for business users

End-to-End Solution Ownership

Gathering and analysing business requirements

Designing full data solutions from source to report

Owning database structure, security design, and BI delivery

Additional Information

NOTICE TO CANDIDATES ON RECRUITMENT FRAUD - We are committed to safeguarding candidates from fraudulent activity associated with our recruitment process. Please note that we will never offer specialist CV writing services, request payment or ask for sensitive personal information during the recruitment process.

We are committed to equal treatment of candidates and promote, as well as foster all forms of diversity within our company. We believe that bringing together people with different backgrounds and perspectives is essential for creating innovative and impactful solutions. Skills, talent, and our people’s ability to dare are the only things that matter !. Bring your unique contributions and help us shape the future

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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.