Remote Azure Data Engineer (Contract)

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

Job summary

A leading company is seeking an experienced Azure Data Engineer to build scalable data pipelines and optimize data models in a fully remote role. Candidates should have strong Azure experience and a passion for data engineering. This is a full-time position targeting GMT +1 to +6 time zones.

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.

Skills

Data Engineering

SQL

Data Modeling

Predictive Analytics

Tools

Azure Synapse Analytics

ADF

Salesforce

Google Analytics

Airtable

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.