Teams at Triggerise

Lead the technical strategy for Tiko’s data environment, overseeing dbt and Tableau data modeling, semantic architecture, governance, testing, CI/CD, and documentation. Mentor analytics engineering staff and collaborate with Data Engineering, Analytics, Product, Finance, Operations, and Architecture. Build reliable, scalable data models and standardized metrics that enable trusted self-service analytics. The role requires strong stakeholder communication, business context, and advanced analytics engineering and BI engineering expertise.

Lead a comprehensive assessment and redesign of Tiko's global data function: audit team structures, define target operating model, align data architecture and governance, uplift analyst capabilities, recommend tooling and adoption strategies, and map pragmatic ML opportunities. Deliver actionable roadmaps, capability plans, and stakeholder engagement guidance to transition Tiko to a mature, data-driven operating model.

Develop, maintain, and scale Scala-based backend systems. Apply functional programming (Typelevel/Cats/Cats Effect), ensure security and data protection, participate in agile rituals, document work, collaborate with the tech team, and deliver high-quality, testable microservices on AWS.