Azure Data Engineer

Opus Recruitment Solutions
Bristol, United Kingdom
3 months ago
Applications closed

Related Jobs

View all jobs

Azure Data Engineer

Opus Recruitment Solutions Swindon, Wiltshire, United Kingdom
£350 – £450 pd

Senior Data Engineer - Azure, BI & Data Strategy

Consortium Professional Recruitment Hessle, United Kingdom

Azure Databricks Engineer

Huxley Associates London, City And County Of the City Of London, United Kingdom
£140,000 – £160,000 pa

Senior Data Engineer

SF Partners Birmingham, United Kingdom

Data Engineering Lead

Corecom Consulting York, YO1 8RS, United Kingdom

Data Platform Engineer

Amplius Walton, Peterborough, Cambridgeshire, PE4 6EX, United Kingdom
£50,000 pa
Posted
20 Jan 2026 (3 months ago)
Share
Save job
Create job alert

Azure Data Engineer | £400 - £500 Outside IR35 | Bristol | Hybrid | 6‑Month Initial Term |

A large‑scale data transformation programme is underway, and our client is looking for an experienced Azure Data Engineer to support the rebuild of their cloud data platform. This role is hands‑on and delivery‑focused — you’ll be designing and developing Azure‑native data pipelines, working extensively with Databricks, and shaping scalable data models across the Microsoft ecosystem. The role would require you to be on site in Bristol 4 days per week, please only apply for this position if you are local enough to do this without relocating.

What you’ll be doing

Build, enhance and maintain data pipelines using Azure Databricks, Data Factory, and Delta Lake

Develop and optimise Lakehouse components and cloud‑based data flows

Create robust data models to support analytics, MI and downstream reporting

Assist in migrating legacy warehouse assets into a modern Azure environment

Contribute to cloud architecture decisions, data standards and best‑practice engineering patterns

Develop reliable Python and PySpark code to support data ingestion, transformation, and end‑to‑end processing.

What you’ll bring

Strong hands‑on experience across Azure Data Services (ADF, ADLS, Synapse, Databricks)

Excellent SQL skills, with experience in performance tuning and optimisation

Solid understanding of data modelling (star schema, medallion, ETL frameworks)

Ability to work with complex, inconsistent or legacy data sources

Experience building scalable, production‑ready pipelines in a cloud environment

Azure Data Engineer | £400 - £500 Outside IR35 | Bristol | Hybrid | 6‑Month Initial Term

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

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

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.

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.

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.