Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Azure Data Engineer

Cloud People
Leeds
4 months ago
Applications closed

Related Jobs

View all jobs

Azure Data Engineer

Azure Data Engineer

Azure Data Engineer

Azure Data Engineer

Azure Data Engineer

Azure Data Engineer

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

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 Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.