Senior Data Platform Engineer

HireQ Talent is a fast-growing technology business operating in a highly regulated and data-rich environment. They are seeking a Senior Data Platform Engineer to design and build a modern enterprise data platform, influencing technical direction and delivering business-critical outcomes.

Responsibilities:

• Design and implement a modern Microsoft Fabric data platform
• Lead the journey from early-stage capability to a fully production-ready environment
• Define scalable architecture patterns across warehouse, lakehouse and analytics layers
• Make key technical decisions that balance immediate delivery with future growth
• Build automated, resilient data pipelines
• Integrate data from databases, APIs, SaaS platforms and business applications
• Develop scalable ingestion, transformation and orchestration processes
• Implement monitoring, quality controls and operational excellence
• Create trusted semantic models and Power BI solutions
• Transform fragmented reporting into governed, reusable data products
• Enable executive reporting, operational analytics and future advanced analytics use cases
• Establish consistent business metrics and data definitions
• Introduce CI/CD, source control and automated deployment processes
• Implement governance, security and access control frameworks
• Establish documentation, standards and support models
• Shape the future roadmap of the organisation's data capability

Requirements:

• Significant experience in Data Engineering, Data Platform Engineering or a similar role
• Experience building production data warehouses, lakehouses or modern cloud data platforms
• Strong Microsoft Fabric expertise, including some of: OneLake, Fabric Lakehouse, Fabric Warehouse, Data Factory, Notebooks, Power BI, Semantic Models, Dataflows
• Advanced SQL skills
• Python and/or PySpark experience
• Strong dimensional modelling and data warehousing knowledge
• Experience building enterprise data pipelines and integrations
• Power BI development expertise, including DAX and performance optimisation
• Experience with Git, CI/CD and modern engineering practices
• Strong understanding of security, governance and data quality
• Excellent stakeholder engagement and communication skills