Azure Data Engineer

Cloud People
Leeds
3 days ago
Create job alert

Azure Data Engineer/Consultant – Up to £75K + Bonus

Location:Remote (UK-based, with very occasional travel)

Salary:Up to £75,000 + bonus


Company & role

Join one of the UK’s most advanced Microsoft partners, specialising in Azure-led Data & AI solutions. This consultancy is known for transforming data into tangible value through innovative platforms and strategic data services. With a collaborative team of experts, they deliver impactful solutions across enterprise clients, leveraging the very latest in Microsoft technology.


Why This Role Stands Out

  • Play a key role in shaping Azure data strategies for enterprise clients
  • Join a pioneering team adopting Fabric, Synapse, and Databricks in production
  • Be part of a community of thought leaders, with the opportunity to share ideas and influence outcomes
  • Home-based flexibility with a focus on work-life balance


Key Responsibilities

  • Design and deliver robust Azure data solutions across strategy, ETL, analytics, and AI
  • Lead client workshops and translate business needs into technical design
  • Build scalable, secure, high-performance data platforms using the latest Azure services
  • Champion modern architecture patterns, including Medallion Architecture for structured, efficient data lake design
  • Work closely with Architects and Consultants on end-to-end solutions
  • Stay up to date on Microsoft innovations and contribute to knowledge sharing


Ideal Experience

  • Proven track record delivering data solutions in the Azure ecosystem
  • Deep expertise across the Azure Data Platform (Fabric, Synapse, Databricks, Data Lake, Data Factory, Purview, etc.)
  • Strong data pipeline and ETL skills, including data modelling and transformation
  • Experience implementing Medallion Architecture (Bronze, Silver, Gold layers) in lakehouse or Databricks environments
  • Familiarity with DevOps, CI/CD, and agile delivery
  • Azure Data Engineer, Fabric Engineer, or related certifications—or motivation to earn them


What’s In It for You?

  • Up to £75K base salary plus performance bonus
  • Fully remote role with minimal travel expectations
  • Access to cutting-edge tech and enterprise-scale projects
  • Structured learning and career development paths
  • Work with one of the UK’s most respected Azure specialists

Related Jobs

View all jobs

Azure Databricks Data Engineer - OUTSIDE IR35

Azure Data Engineer - Insurance Firm – London – hybrid working

Azure Data Engineer

Azure Data Engineer

Azure Data Engineer (AI / ML)

Remote Azure Data Engineer (Contract)

Get the latest insights and jobs direct. Sign up for our newsletter.

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 at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.