Description
The Data Engineer will manage a portfolio of client engagements, designing scalable cloud-native and lakehouse data platforms, building and optimising pipelines, modernising legacy environments, and supporting pre-sales, proof-of-concept, and technical proposal activities. The role also provides technical guidance and mentorship to junior and intermediate consultants, leads technical reviews, automates processes, and collaborates with executive, product, and analytics stakeholders. It requires 3–5 years of data engineering experience for the intermediate level or 6–8+ years for the senior level, along with strong Python and SQL skills, cloud and lakehouse experience, and a relevant bachelor's degree.
