National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Engineer

Covent Garden
3 weeks ago
Create job alert

DATA ENGINEER (MICROSOFT AZURE & FABRIC)

ABOUT DIGIMASTERS

Digimasters Ltd was founded in 2017 as a digital transformation consultancy focused on technology, business process optimisation and data analytics. Digimasters works across all industries and provides experience in organisations of all sizes. Primarily based in London, UK, we work in many regions including the US, EU, APAC and the Middle East. Digimasters takes on additional talent during large programmes of work. For our engagements with clients in Architecture, Engineering, and Construction (AEC), as well as other sectors, we have several roles supporting the delivery of technology, business change, and data programmes.

THE ROLE

We are looking for an experienced Data Engineer to join our delivery team on a contract basis, with a specific focus on designing, building, and optimising data solutions on Microsoft Azure and Microsoft Fabric. This role is critical to helping our clients unlock the full value of their data assets, supporting advanced analytics, reporting, and digital transformation. The ideal candidate will be confident working with a modern data stack, automating data pipelines, and delivering reliable, scalable, and high-quality data solutions in enterprise environments. This position reports to the Managing Director of Digimasters and will work closely with our clients’ technical teams, as well as internal data architects, analysts, and governance specialists.

RESPONSIBILITIES

Design, build, and maintain scalable data pipelines and data integration workflows using Microsoft Azure services such as Data Factory, Synapse Analytics, Data Lake, Databricks, and related technologies. Implement and support Microsoft Fabric solutions, including dataflows, data warehouses, and real-time analytics features. Develop and maintain ETL/ELT processes to support business reporting, analytics, and machine learning. Optimise data architectures for performance, reliability, and cost efficiency in cloud environments. Collaborate with data architects, analysts, and business stakeholders to gather requirements and deliver data solutions aligned with business goals. Ensure high-quality, secure, and compliant data management practices, in line with G.D.P.R. and relevant data regulations. Support the migration and modernisation of legacy data systems into Azure and Microsoft Fabric environments. Monitor, troubleshoot, and improve data workflows, implementing automation and error-handling as needed. Produce and maintain technical documentation for data pipelines, architecture, and best practices.

EXPECTATIONS IN THE ROLE

Strong hands-on experience with Microsoft Azure data services (Data Factory, Synapse Analytics, Data Lake, Databricks). Direct experience delivering solutions using Microsoft Fabric. Advanced SQL skills and experience with data modelling, transformation, and integration. Familiarity with data governance, data quality, and compliance frameworks. Ability to work independently and collaboratively in a fast-paced, client-facing environment. Excellent communication skills, able to translate technical solutions into business value.

QUALIFICATIONS

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field preferred. At least 3 years of experience as a Data Engineer, ideally in consulting, professional services, or large enterprise environments. Demonstrable expertise in building data pipelines and cloud data solutions on Azure. Experience with Microsoft Fabric is strongly preferred. Knowledge of Python or other scripting languages is an advantage. Certification in Microsoft Azure Data Engineering or related is a plus.

Outside IR35, We do not sponsor visas, Hybrid location (Remote and Central London (2 days a week))

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer (we have office locations in Cambridge, Leeds & London)

Data Engineer II - Machine Learning

National AI Awards 2025

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.

Top 10 AI Recruitment Agencies in the UK: 2025 Edition

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.