Senior / Lead Data Engineer - Azure Databricks

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. We help organisations solve complex business challenges by combining deep domain understanding with modern data and AI capabilities. Our teams work across strategy, analytics, engineering, and product delivery to create scalable, high-value solutions that improve decision-making, efficiency, and growth. We are looking for an experienced Senior Data Engineer to support delivery of an Agentic Executive Scorecard - an AI-powered executive performance management capability delivering governed scorecards, recurring executive reporting and controlled conversational analytics. This role will be central to building the semantic layer and KPI model, including Databricks Metric Views, and the underlying data pipelines that give the solution a deep, trusted understanding of the data across different business domains in the client’s primary markets. The ideal candidate has strong hands-on experience in cloud data engineering and semantic/KPI modelling with Databricks Metric Views, and is comfortable working directly with business owners to define and build the KPIs that support AI-generated analytical narratives and conversational analytics. Responsibilities Build and maintain the semantic layer and KPI model, including Databricks Metric Views, underpinning governed executive scorecards and recurring executive reporting Work directly with business owners to define, validate and build KPIs and the underlying business logic Profile source data quality, ownership, history, grain and reconciliation requirements across priority source systems Design and build data integration and transformation pipelines to prepare enterprise data for AI-generated narratives and conversational analytics Define conformed dimensions and market-specific variations across primary markets Work closely with the Business Analyst and Lead AI Engin