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

Data Engineer

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.

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.