About this role

Perform complex data manipulation and analysis to support senior business experts and stakeholders.
Utilise Python and its data libraries to handle large datasets and automate analytical tasks.
Design and execute robust data mapping and analysis projects.
Work with our expert teams to understand client needs and translate them into effective data solutions.
Working in a fast paced start-up agile and high pressure environment.

DBT: Transforming raw data in the warehouse into clean, tested & documented models using SQL.
Databricks: Must have recent experience
Domain knowledge: Have worked within the operations team for an asset management department and understands assets data, like financial securities, trading data within the last 3 years
Investment & Financial: Experience with investment-related projects or working in the reinsurance or life insurance domain.
SQL: Data manipulation and querying.
Python: Experience in libraries like Pandas and NumPy.
Communication: Excellent senior stakeholder, articulate, presenting & engagement skills.

Mid Data Engineer, Python, Databricks, DBT

Key skills