Mid Data Engineer (Python, DBT, Asset Management)

You will join one of our high-performing consultant teams, delivering cutting-edge solutions for our financial services clients. This is a hands-on role where your data analysis skills and financial acumen will be essential to supporting senior business experts. You will be moving beyond the limitations of standard tools like Excel to solve complex data challenges. Working directly with critical data in the reinsurance domain, performing data crunching & providing actionable insights that inform key decisions. Key Responsibilities 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. Must Have: Investment & Financial domain knowledge: Have worked within the operations team for an asset management department and understands assets data, like financial securities within the last 2 years. SQL: Data manipulation and querying. DBT: Transforming raw data in the warehouse into clean, tested & documented models using SQL. Python: Experience in libraries like Pandas and NumPy. Cloud Platform: Building on GCP using BigQuery Education: Degree within investments/accounting/actuarial fields from a UK based university. Nice-to-Haves: Familiarity with Databricks Experience with investment-related projects or working in the reinsurance or life insurance domain. Fully Remote Outside IR35 Long term contract £500/day