Azure Data Engineer

Cloud Decisions
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

Senior Data Engineer - Azure, BI & Data Strategy

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

Azure SQL / Fabric Data Engineer

Azure Data Engineer | Microsoft Solutions Partner | UK-wide (Remote)

Up to £75,000 + 15 Bonus


Ready to level up your career as an Azure Data Engineer? Good, because this opportunity is serious about data and needs someone equally committed. This ambitious Microsoft Solutions Partner specialises in Azure and advanced cloud solutions, and they're looking for someone sharp, capable, and passionate about data to help drive their growth.


The Essentials:

  • Role:Azure Data Engineer
  • Location:UK-wide remote, with VERY occasional travel to offices and client sites
  • Employment:Permanent, Full-time


What You'll Actually Be Doing:

  • Designing, developing, and deploying robust Azure data solutions including ETL pipelines, data warehouses, and real-time analytics. No fluff, just solid engineering.
  • Turning complex client requirements into clear, scalable Azure solutions alongside experienced Architects and Data & AI Practice Leads.
  • Building strong relationships with clients—clear communication and reliability matter.
  • Continuously expanding your expertise—this isn’t a stagnant role; they're looking for someone driven to stay at the forefront of technology.


Who They're Looking For:

  • At least 3 years of meaningful experience with Azure Data platforms (Azure Synapse, Databricks, Data Factory, Data Lake, etc.).
  • Azure certifications highly valued: Azure Data Engineer Associate, Azure Solutions Expert, Azure AI Engineer.
  • Confident communicator who can clearly translate technical information to stakeholders at all levels.
  • Independent and proactive, you see opportunities and take initiative without waiting to be asked.


Key Tech Experience Needed:

  • Azure Data technologies (Synapse, Databricks, Data Factory, Data Lake, Microsoft Fabric)
  • Azure DevOps, Git
  • Stream Analytics, Event Hubs
  • T-SQL, Python
  • Power BI expertise, including DAX


What's On Offer:

  • Comprehensive, uncapped training—your growth is fully supported.
  • Meaningful benefits (Private Medical, Income Protection, Gym Discounts—perks you'll genuinely use).
  • A culture that genuinely values and rewards good work.


This organisation is building something impactful. If you're the right fit, you'll know it.


Interested? Apply here or get in touch with Oli Ridley via LinkedIn

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.

Products

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science 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.

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.