Financial Crime Data Engineer — Pipelines & Analytics
Summary
Data Engineer at P&N Bank building pipelines and data products for financial crime detection, risk assessment and regulatory reporting. Day to day involves integrating diverse data sources and ensuring data quality for risk and investigations teams, working with Snowflake, Databricks and other cloud data platforms in a hybrid model.
P&N Bank is seeking a Data Engineer to strengthen how we use data for financial crime detection, risk assessment and regulatory reporting. You will build data products, integrate diverse data sources and ensure data quality across risk and investigations functions.
The role offers a hybrid work model with opportunities to work on Snowflake, Databricks, and other cloud data platforms, while collaborating with cross‑functional teams across Technology, Data and Risk.