Data Engineer

Nobul Resourcing Solutions
Manchester, United Kingdom
2 days ago
£41,000 pa

Salary

£41,000 pa

Job Type
Contract
Work Pattern
Part-time
Work Location
Hybrid
Seniority
Mid
Education
Degree
Security Clearance
Required
Posted
4 Jun 2026 (2 days ago)

Benefits

DBS and BPSS security checks

Data Engineer

12 Month Fixed Term Contract

Manchester - 1 day per week

About Salix

At Salix, we enable and inspire organisations to achieve net zero and create better places. We deliver and administer government funding schemes that improve energy efficiency, support clean power and help create warmer, healthier homes and resilient public buildings across the UK.

Working with central government, local authorities, housing associations, universities, schools and hospitals, we combine funding delivery with practical expertise and insight to help organisations turn ambition into real-world impact.

As we continue to grow and evolve, including supporting the delivery of the Warm Homes Plan and future strategic programmes, we are looking for talented people who want their work to contribute to a greener future.

The Role

We are seeking a skilled and motivated Data Engineer to join our growing Data & Analytics team.

This is an exciting opportunity to help shape Salix’s data capability during a period of significant organisational growth and transformation. You will play a key role in building and maintaining robust data pipelines, ensuring trusted and high-quality data is available to support reporting, analytics and operational decision-making across the organisation.

Working closely with analysts, platform managers and business stakeholders, you will contribute to the development of scalable data solutions and support strategic initiatives including the creation of a historical data repository and preparation for a new CRM platform.

Key Responsibilities

* Build and maintain ingestion, transformation and load processes into the SQL data warehouse using tools such as Azure Data Factory

* Develop robust ETL/ELT pipelines working with APIs, databases and file-based data sources

* Design and maintain curated datasets, semantic layers and dimensional data models for reporting and analytics

* Optimise SQL queries and database performance

* Implement data quality checks, monitoring, lineage and observability processes

* Support data cataloguing, metadata management and governance practices

* Ensure data security through masking, anonymisation and adherence to GDPR and ISO27001-aligned standards

* Complete unit and integration testing to ensure reliable and accurate data outputs

* Collaborate effectively with technical and non-technical stakeholders to translate requirements into scalable solutions

About You

We are looking for someone who combines strong technical capability with a collaborative and proactive approach.

You will ideally have experience with:

* Advanced SQL and database administration

* Microsoft Azure Data Services and cloud-based data engineering best practices

* ETL/ELT pipeline development and orchestration

* Data modelling for analytics and reporting

* Query optimisation and performance tuning

* Testing and automation of data processes

* Agile delivery methodologies

* Writing clear technical documentation and communicating effectively with non-technical audiences

Desirable skills include:

* Python development

* Experience with NetSuite and Salesforce data structures

* Knowledge of public sector data protection and governance standards

Why Join Salix?

At Salix, you’ll be part of a purpose-driven organisation where your work has a direct impact on sustainability, public services and the UK’s transition to net zero.

Applications close on Monday 15 June 2026.

Shortlisted candidates will be invited to interview on Wednesday 24 June 2026.

Successful candidates will be required to complete DBS and BPSS security checks as part of the recruitment process.

Salix encourages applications from people of all backgrounds and are committed to creating a diverse and inclusive organisation where different perspectives are valued. To monitor our processes, all applicants are asked to complete a diversity and equality form

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.