Senior Data Engineer

SF Partners

Birmingham, United Kingdom

Last month

Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Synthesia London, United Kingdom

Hybrid

Senior Data Engineer

Hays Technology Abingdon, OX14 5BH, United Kingdom

Senior Data Engineer

Pontoon Warwick, United Kingdom

Senior Data Engineer - Microsoft Fabric

Roc Search Europe Limited Leeds, West Yorkshire, United Kingdom

£65,000 – £70,000 pa Remote

Senior Data Engineer - London

Datatech London, United Kingdom

£70,000 – £80,000 pa

Junior Data Engineer

Hays Technology London, United Kingdom

£310 pd

Seniority: Senior
Posted: 14 Apr 2026 (Last month)

Save job

Create job alert

Applications closed

Birmingham | Hybrid

£55,000 – £65,000 + excellent benefits

We are partnering with an established, customer-focused business based in Birmingham that continues to invest significantly in its data and technology capabilities.

They are seeking to appoint a Senior Data Engineer to play a pivotal role in developing their Azure data estate and to drive the next phase of their platform modernisation journey.

This is an excellent opportunity for a hands-on engineer who thrives on ownership, influencing technical direction, and collaborating closely with the wider business to deliver impactful data solutions.

The role offers a genuine blend of technical delivery, platform enhancement, and leadership exposure

What's the job?

You will be responsible for leading the design, development and optimisation of scalable data solutions within a modern Microsoft Azure environment.

A key focus of the role will be enhancing data integration, modelling, and accessibility to support reporting and operational decision-making, while facilitating the ongoing migration from legacy systems to Azure.

You will collaborate closely with internal Business Intelligence and technology teams, helping to establish best practises across data engineering and platform performance.

Key Responsibilities

Lead the design and optimisation of data pipelines and ETL/ELT workflows

Develop scalable solutions across Azure Synapse, Data Factory, and Data Lake

Support the ongoing evolution of the wider Azure data platform

Enhance data models and reporting layers that underpin downstream BI solutions

Collaborate with stakeholders across operations, finance, and technology teams

Define and promote best practises around data quality, security, and governance

Support cloud migration and platform modernisation initiatives

Drive continuous improvement in performance, automation, and reliability

Provide technical leadership and guidance across engineering projects

Person Specification

We welcome applications from strong engineers with solid experience across the Microsoft data stack, particularly:

Azure Synapse

Azure Data Factory

Azure Data Lake

SQL

ETL/ELT pipeline development

Power BI data modelling and reporting integration

Experience with SSIS, SSRS, or legacy SQL environments (desirable)

Most importantly, we seek someone who combines strong technical expertise with a commercial mindset and a collaborative approach.

You are not expected to meet every requirement.

Strong Azure data engineering experience remains the key priority.

Why This Opportunity Is Worth Exploring

Greater ownership and influence

A modern Azure cloud environment

A visible, impactful role within the business

Long-term career progression opportunities

A balanced blend of hands-on technical work and leadership exposure

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)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. 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 Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. 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

New Data Science Employers to Watch in 2026: a UK and international shortlist of analytics and AI companies hiring data scientists, ML engineers and analysts. 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.