Senior Data Engineer | Outside IR35 | Remote

CV-Library

London

13 months ago

Applications closed

Related Jobs

View all jobs

Microsoft Fabric Data Engineer

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

£450 – £550 pd Hybrid

Senior Data Quality Analyst

Ageas Insurance Limited Chandlers Ford, United Kingdom

£65,000 – £70,000 pa Hybrid

Data Scientist / AI Engineer

Searchability NS&D Cheltenham, United Kingdom

£45,000 – £95,000 pa On-site Clearance Required

Senior Data Engineer

SF Partners Birmingham, United Kingdom

Data Engineer

VIQU Energy London, United Kingdom

EU Power BI Engineer | Lisbon | To

Akkodis Lisbon, Portugal

£30,213 – £34,529 pa Hybrid

Posted: 15 Apr 2025 (13 months ago)

Save job

Create job alert

Applications closed

Senior Data Engineer| SC Clearance Needed
Outside IR35 | Remote | London | £550 p/d
Azure | DBT | synapse | data-factory

We are working with a market-leading client who operate within public sector consultancies in the defence space. You’ll be required to migrate data, transform and model into ETL pipelines
Key technical skills necessary:

Azure
AWS
Synapse
Data-factory
SQL
DBT
You need active SC Clearance to be applicable for this positionWhy apply for this role?

Our client is looking to pay £550 - £600 p/d outside of IR35
6-month contract with the intention of extension
Develop your tech stack and learn Microsoft’s newest tech ‘fabric’
Located in the heart of Bristol with opportunities to work from home
This is a two-stage interview process. We’re conducting the first stage of the interview process in a couple of weeks, don’t miss your opportunity to be considered and apply before the application deadline 23/04/2025

Rosie Trevett-Smart | (phone number removed) | (url removed)
Senior data engineer | Bristol | £550 p/d | Azure | DBT | synapse | data-factory

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.

Apr 5, 2026

Jobs

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science 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.

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.