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Client:
Discovered MENA
Location:
London (West End), United Kingdom
Job Category:
Other
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EU work permit required:
Yes
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Job Views:
4
Posted:
12.05.2025
Expiry Date:
26.06.2025
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Job Description:
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 experienced Azure Data Engineer to join a fast-growing team focused on developing a centralised, enterprise-grade data warehouse in the Azure cloud.
This is a full-time remote role open to candidates located within GMT +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
* Leveraging Azure Synapse Analytics and ADF to 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 of SQL, stored procedures, and data modeling (Kimball or 3NF)
* Solid understanding of data warehouse architecture and best practices
* 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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