Senior Data Engineer (Databricks)
Core
Senior leadership role shaping a Data Engineering practice to deliver large-scale cloud and data transformation programmes for enterprise Financial Services clients.
Role type
Senior Manager - Data Engineering (Databricks)
Builds
Enterprise-scale Databricks solutions, scalable cloud-native data platforms, and modern data ecosystems
Domain
Financial Services / Cloud Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Databricks architecture, Azure, Spark, Delta Lake, team leadership, data strategy, governance, lineage, security, performance optimisation
Preferred skills
Databricks certifications, consulting experience, machine learning, predictive analytics, AI-driven platforms, data governance frameworks
Technologies
Databricks, Azure, Spark, Delta Lake
Responsibilities
Lead architecture and delivery of enterprise-scale Databricks solutions, design and optimise scalable cloud-native data platforms, drive migration programmes from legacy systems, provide technical leadership and mentoring, collaborate with clients to define data strategy, establish best practices across governance and security, support advanced analytics and AI initiatives
Seniority
Senior, hands-on IC with leadership responsibilities
