Teams at Practiv

Lead design and implementation of data pipelines, data modelling and warehousing solutions. Work directly with clients to deliver end-to-end cloud data and AI solutions, mentor junior engineers, and ensure robust, maintainable implementations.

Deliver end-to-end data solutions including designing and building data pipelines, warehousing, ETL, ML/AI support and visualisations. Work with clients to define requirements, implement cloud data services (e.g., GCP, Databricks, Snowflake) and produce scalable Python/SQL/Spark code within a small team.

Design and implement end-to-end data solutions: build data pipelines, perform data modelling and warehousing, implement ETL, write scalable Python/SQL/Spark code, work with cloud data services, support ML/AI initiatives, and liaise with clients to deliver practical, secure data products and visualisations.