Hybrid Data Analytics Engineer & Scientist - ML & ETL

Dyson Institute is looking for a qualified professional to bridge data engineering and data science in Singapore. The role involves leveraging various data sources and applying advanced analytics to produce actionable insights. You will develop robust ETL pipelines and collaborate with teams to enhance data-driven decision-making.

Applicants should have at least five years of relevant experience, a strong degree in a related field, and demonstrable skills in Python and cloud platforms like BigQuery and Redshift. Join us to impact how data drives innovation at Dyson.