Remote Azure Data Engineer (Contract)

Discovered MENA
Leigh
1 day ago
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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.

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