Azure Data Engineer

Cloud People
Leeds, England
12 months ago
Applications closed

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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

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Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine Learning Jobs UK 2026: roles, salaries and the MLOps, LLM and generative AI hiring trends shaping UK ML careers over the next three years. Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened 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 machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning 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.