Azure SQL / Fabric Data Engineer

Opus Recruitment Solutions

Exeter, United Kingdom

2 weeks ago

Applications closed

Related Jobs

View all jobs

Azure Data Engineer

Opus Recruitment Solutions Swindon, Wiltshire, United Kingdom

£350 – £450 pd

Microsoft Fabric Data Engineer

Opus Recruitment Solutions Bristol, Bristol (county), United Kingdom

£450 – £550 pd Hybrid

Data Engineer

SF Partners Manchester, United Kingdom

Data Engineering Lead

Corecom Consulting York, YO1 8RS, United Kingdom

Senior Data Engineer

Maxwell Bond Warrington, United Kingdom

Data Engineer - Celonis

Reed Technology Birmingham, United Kingdom

Posted: 10 Apr 2026 (2 weeks ago)

Save job

Create job alert

Applications closed

Azure SQL / Fabric Data Engineer | £400 - £500 Outside IR35 | Exeter | Hybrid | 6‑Month Initial Term

We’re working with a South West–based organisation undergoing a modernisation of their data platform using Microsoft Fabric and are looking to bring in an experienced SQL‑focused Data Engineer to support delivery. This is a hands‑on role suited to someone who enjoys working closely with data teams to model, optimise and deliver reliable datasets that drive reporting and decision‑making.

What you’ll be doing:

Designing and developing robust SQL‑based data models within Microsoft Fabric

Working with Fabric Warehouse / Lakehouse to support analytics and BI

Supporting Power BI reporting through well‑structured, performant datasets

Collaborating with analysts, engineers and stakeholders to unblock delivery

Helping stabilise and evolve a modern Azure data platformWhat we’re looking for:

Strong experience as a SQL Developer / Data Engineer

Solid understanding of data modelling

Hands‑on experience with Microsoft Fabric (or Synapse / Azure SQL with Fabric exposure)

Expert working in Azure‑based data environments

Pragmatic, delivery‑focused mindset

If this is a role that suits your skillset, can work onsite 3 days per week in Exeter and immediately available then please apply for the job advert directly.

Azure SQL / Fabric Data Engineer | £400 - £500 Outside IR35 | Exeter | Hybrid | 6‑Month Initial Term

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

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

Apr 9, 2026

Products

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

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science 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.

Mar 24, 2026

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

Feb 10, 2026

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.