Remote Azure Data Engineer (Contract)

JR United Kingdom; London; Remote; GBP 60,000; Full time

Job summary

A leading company is seeking an experienced Azure Data Engineer for a fully remote role. You will design and optimize data models, build scalable data pipelines, and work with Azure tools. This position is ideal for data experts looking to make an impact in a fast-paced, data-driven organization.

Qualifications

• 5+ years of experience in data engineering, integration, and ETL/ELT projects.
• 3+ years hands-on with Azure tools.

Responsibilities

• Designing, building, and optimizing data models for a modern data warehouse on Azure.
• Creating and maintaining secure, scalable data pipelines and ingestion workflows.

Skills

Data Engineering

SQL

Data Modeling

Predictive Analytics

Tools

Azure Synapse Analytics

Azure Data Factory

Salesforce

Google Analytics

Airtable

Job description

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Remote Azure Data Engineer (Contract), London (City of London)

Client: Discovered MENA

Location: London (City of London), United Kingdom

Job Category: Other

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EU work permit required: Yes

Job Views:

5

Posted:

12.05.2025

Expiry Date:

26.06.2025

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.