Remote Azure Data Engineer (Contract)

Discovered MENA
London
3 days ago
Create job alert

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.

Related Jobs

View all jobs

Remote Azure Data Engineer (Contract)

Azure Databricks Data Engineer - OUTSIDE IR35

Data Engineer

Data Engineer

Data Engineer

Azure Data Engineer - Insurance Firm – London – hybrid working

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.

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.