Data Engineer in Birmingham

As Gateley’s first dedicated Data Engineer, you will build and scale our firmwide data capability. You’ll design and operate data pipelines and a lakehouse/warehouse architecture to deliver trusted, reusable data products for dashboards, analytics and AI use cases. You’ll work across IT and business units, setting engineering standards and patterns to enable governance, quality and secure data access. This role offers influence over how the data capability matures and integrates with Power BI and fabric-enabled solutions.

• annual bonus
• Learn platform for skill development
• My Flex rewards package
• cycle to work
• health care
• group personal pension

• Design, build and maintain data pipelines using Microsoft Fabric to move data into governed data products
• Develop Fabric data architecture with lakehouse/warehouse structures aligned to governance and security
• Onboard and integrate data from core applications, SaaS, databases, files and APIs
• Create batch and near-real-time integrations based on business needs
• Consolidate data across systems, ensure quality and usability for reporting and AI
• Ensure production data services are reliable with monitoring, logging and data lineage
• Collaborate with data owners and stakeholders to resolve data quality and performance issues
• Support master/reference data capabilities, including entity resolution and golden-record processes
• Document data definitions, mappings and lineage for data stewards and technicians
• Provide guidance on analytics and Power BI semantic models, dashboards and accessibility
• Promote governance-consistent data products over local business rules
• Translate requirements into practical engineering solutions for dashboards and data products
• Implement DevOps practices and maintain separation of dev/test/prod environments
• Own data engineering solutions from requirements to delivery with emphasis on security, scalability and maintainability
• Contribute patterns, templates and best practices for the growing Data Programme
• Influence engineering approach as an early member of the data capability

• Strong hands-on data engineering experience with production-grade pipelines
• Practical experience with Microsoft Fabric or closely related Azure data services
• Strong SQL and at least one engineering language (Python or PySpark)
• Experience integrating multiple data sources (APIs, databases, files, enterprise apps)
• Understanding of lakehouse, warehouse and dimensional modelling, semantic models and data quality controls
• Experience with DataOps/DevOps practices (Git, automated testing, deployment pipelines, environment management)
• Ability to translate governance/stewardship requirements into practical controls
• Strong problem-solving and ownership skills
• Excellent stakeholder communication and ability to explain complex concepts to non-technical audiences
• Collaborative mindset across multiple teams and business areas

• collaboration
• curiosity
• clear communication
• Microsoft Fabric
• Python or PySpark
• SQL