Technical Data Engineer / Analyst

Opus Recruitment Solutions
Nottingham, Nottinghamshire, United Kingdom
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

CBSbutler Holdings Limited trading as CBSbutler Reading, Berkshire, United Kingdom
£85 – £90 ph

Data Engineer - Celonis

Reed Technology Birmingham, United Kingdom

Data Engineer

Scania (Great Britain) Limited Willen, Buckinghamshire, MK18 1SB, United Kingdom

Data Engineer

Ncounter Latchmere, London, TW10 5HW, United Kingdom
£90,000 – £100,000 pa

Senior Data Engineer

Hays Technology Abingdon, OX14 5BH, United Kingdom

Senior AWS Data engineer (LDW Data Warehouse Discovery)

Experis Telford, Shropshire, SY2 5TN, United Kingdom
£400 – £480 pd
Posted
13 Feb 2026 (2 months ago)
Share
Save job
Create job alert

Technical Data Engineer / Analyst | Contract | Azure | 6 months | Hybrid | Outside IR35 | £400 - £475 | Nottingham |

We’re supporting a major data transformation programme and looking for a Technical Data Analyst to help migrate legacy systems into a modern Azure data platform. This is a hybrid role 3 days a week in the Nottingham office which is none negotiable. This is a ideal role for someone who is looking for hands on experience with Azure analytics tools and thrives in a data heavy environment.

What you'll be doing:

Analysing, understanding, and documenting legacy data structures
Supporting data model mapping from old systems into the new Azure platform
Validating migrated datasets for accuracy and completeness
Creating reporting assets and dashboards using Power BI
Working with engineers to identify data issues, test pipeline outputs, and improve overall data quality
Key Skills

Strong SQL skills and experience working with Azure‑hosted datasets
Power BI reporting/dashboards creation
Python experience
Exposure to Azure Data Lake, Databricks, or Data Factory is beneficial
If this is a role that suits your skill set, you are immediately available and can work 3 days a week in the office near Nottingham then please apply for the attached job or send your CV to (url removed).

Technical Data Engineer / Analyst | Contract | Azure | 6 months | Hybrid | Outside IR35 | £400 - £475 | Nottingham

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 Engineering Jobs in the UK (2026 Guide)

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. 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.

Jobs

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

Careers

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

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.

🍪 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.