Data Engineer (Azure)

Location:

Mainly remote, with monthly travel to Leeds/Bradford

Type:

Permanent | Full-time

The Opportunity

A forward-thinking organisation undergoing significant investment in its data and technology capabilities is seeking an experienced Data Engineer to join its growing team.

This is an excellent opportunity to play a key role in the evolution of a modern Azure-based data platform, supporting reporting, analytics, business intelligence, and emerging AI initiatives. You'll work closely with analysts, architects, engineers, and business stakeholders to deliver scalable, secure, and high-quality data solutions.

Key Responsibilities

• Design, develop and maintain scalable batch and real-time data pipelines.
• Build and optimise curated datasets for reporting, analytics and business insight.
• Develop integrations between enterprise systems and third-party platforms.
• Drive high standards of data quality, governance and documentation.
• Support deployment, monitoring and continuous improvement of data solutions.
• Troubleshoot complex platform issues and contribute to ongoing enhancements.
• Collaborate with technical and business teams to deliver impactful data projects.
• Proven experience building and supporting enterprise data platforms, data lakes and data pipelines.
• Advanced SQL expertise.
• Hands-on experience with Azure technologies such as: Azure Data Factory, Azure Databricks, Synapse Analytics, Purview
• Experience with CI/CD, DevOps practices and automated testing.
• Strong understanding of data governance, metadata management and data quality principles.
• Experience working in Agile environments.
• Excellent stakeholder management and communication skills.
• Event-driven architecture and integration solutions.
• AI, machine learning or advanced analytics projects.
• Experience within large and complex organisations.
• Microsoft Azure or Data Engineering certifications.

What's on Offer?

• Opportunity to help shape a modern enterprise data platform.
• Exposure to cutting-edge Azure data technologies.
• A collaborative, data-driven culture with significant investment in technology.
• Hybrid working and competitive benefits package.