Azure Data Engineer

Cloud People
Leeds
10 months ago
Applications closed

Related Jobs

View all jobs

Azure Data Engineer

Contract Data Engineer (Azure) - Agile IT Team

Senior Data Engineer - Azure, BI & Data Strategy

Urgent | Contract Senior Data Engineer - Azure + Databricks + Snowflake

Azure SQL / Fabric Data Engineer

Data Engineer (Azure Data Platform)

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.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.