Remote Azure Data Engineer (Contract)

Discovered MENA
Leeds
1 week ago
Applications closed

Related Jobs

View all jobs

Remote Azure Data Engineer (Contract)

Remote Azure Data Engineer (Contract)

Remote Azure Data Engineer (Contract)

Remote Azure Data Engineer (Contract)

Azure Data Engineer - OUTSIDE IR35

Data Engineer (Azure Data Factory)

Title:Azure Data Engineer

Location:Fully remote (working UAE hours)

Salary:5k GBP per month



Are you a data expert with a passion for building scalable, cloud-first data pipelines? We’re hiring an experiencedAzure Data Engineerto join a fast-growing team focused on developing a centralised, enterprise-grade data warehouse in the Azure cloud.


This is afull-time remote roleopen to candidates located withinGMT +1 to +6 time zones. If you thrive in fast-paced environments, take extreme ownership of your work, and want to make a real impact in a data-driven organization - this could be the perfect opportunity for you.


🔧 What You’ll Be Doing:

  • Designing, building, and optimizing data models for a modern data warehouse on Azure
  • Creating and maintaining secure, scalable data pipelines and ingestion workflows
  • LeveragingAzure Synapse AnalyticsandADFto deliver robust ELT solutions
  • Ensuring pipeline execution, availability, and reliability across platforms
  • Owning physical data models and collaborating with BI teams on reporting layers
  • Supporting data discovery, KPI definition, and data quality initiatives
  • Documenting architecture, metadata, and data lineage for project transparency
  • Driving performance optimization and issue resolution across the data stack


✅ What We’re Looking For:

  • 5+ years of experience in data engineering, integration, and ETL/ELT projects
  • 3+ years hands-on with Azure tools
  • Strong command ofSQL, stored procedures, and data modeling (Kimball or 3NF)
  • Solid understanding of data warehouse architecture and best practices=


⭐ Bonus Skills:

  • Familiarity with Salesforce (SFDC Sales Cloud), Google Analytics, or Airtable
  • Experience with finance-related data marts (e.g. forecasting, P&L)
  • Exposure to predictive analytics and building machine learning-ready datasets


🎯 Ready to take the next step in your data engineering career? Apply now and be part of a forward-thinking team pushing the boundaries of Azure-based data solutions.

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.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.