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Remote Azure Data Engineer (Full-Time)

Discovered MENA

Greater London

Remote

GBP 60,000 - 80,000

Full time

Yesterday

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Job summary

Join a forward-thinking team as an Azure Data Engineer, where you'll design and optimize cloud-first data pipelines. In this fully remote role, you will leverage your expertise in Azure tools to build a centralized data warehouse and deliver robust ELT solutions. If you have a passion for data engineering and thrive in fast-paced environments, this is the perfect opportunity to make a significant impact in a data-driven organization. Embrace the chance to work with cutting-edge technologies and drive performance optimization across the data stack.

Qualifications

5+ years of experience in data engineering and ETL/ELT projects.
Strong command of SQL and data modeling techniques.

Responsibilities

Design and optimize data models for a modern data warehouse on Azure.
Create and maintain secure, scalable data pipelines and workflows.

Skills

Data Engineering

ETL/ELT

SQL

Azure Tools

Data Modeling

Predictive Analytics

Tools

Azure Synapse Analytics

Azure Data Factory (ADF)

Salesforce

Google Analytics

Airtable

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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.

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Contract

Job function

Industries
IT Services and IT Consulting

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