Data Engineer

We are seeking an experienced Azure Data Engineer to support the development and enhancement of a modern cloud-based data platform. The successful candidate will play a key role in designing, building and maintaining scalable data solutions that support analytics, reporting and business intelligence initiatives across the organisation. Responsibilities

• Design, build and maintain robust data pipelines within Azure.
• Develop and optimise ETL/ELT processes using Azure-native technologies.
• Deliver scalable and high-performing data solutions within a cloud environment.
• Integrate data from multiple source systems into enterprise data platforms.
• Collaborate with Data Analysts, BI Developers and business stakeholders to deliver data requirements.
• Implement data quality, governance and monitoring processes.
• Support enhancements to existing data warehouse and reporting environments.
• Contribute to architecture discussions and recommend best practice solutions.
• Troubleshoot and resolve data-related issues across production environments.

• Proven experience as a Data Engineer in enterprise environments.
• Strong hands-on experience with:
• Azure Data Factory (ADF)
• Azure Databricks
• Azure Synapse Analytics
• Azure Data Lake
• SQL
• Python
• Experience designing and developing ETL/ELT pipelines.
• Strong understanding of data modelling and data warehousing principles.
• Experience working with large-scale datasets and cloud-based architectures.
• Knowledge of CI/CD, DevOps and source control practices.
• Strong stakeholder engagement and communication skills.

Desirable Skills

• Experience with Power BI.
• Exposure to Microsoft Fabric.
• Experience working within highly regulated environments.
• Azure certifications.

Deliverables

• Design and delivery of scalable Azure data pipelines.
• Improvements to data quality, reliability and performance.
• Documentation of technical solutions and processes.
• Support the wider data strategy and cloud transformation initiatives., * Azure
• Databricks
• Python
• SQL

• Initial 6-month contract with extension potential.
• Hybrid working arrangement.
• Opportunity to work on a large-scale cloud data transformation programme.
• Collaborative and technology-driven environment.