The role involves designing end-to-end data engineering solutions from ingestion to serving curated datasets for Anti Financial Crime analytics
Job Summary
The role involves designing end-to-end data engineering solutions from ingestion to serving curated datasets for Anti Financial Crime analytics.
Candidates will collaborate with business stakeholders to translate regulatory requirements into robust technical solutions while mentoring junior engineers.
PwC offers a comprehensive benefits package including flexible hybrid working, sabbatical leave, and co-financed certifications.
Matching Summary
The role involves designing end-to-end data engineering solutions from ingestion to serving curated datasets for Anti Financial Crime analytics.
Skills & Requirements
Must-have
Databricks Apache Spark experience
Delta Lake ACID tables and schema evolution
Python and SQL for data processing
ETL/ELT pipeline development
Data modelling and performance optimization
Cloud-based data platform experience
Nice-to-have
Streaming data processing with Spark Structured Streaming
Experience with Collibra or metadata tools
Background in financial services or AML environments
Fluency in German, Dutch, or French languages
Mentoring junior engineers
Key Requirements
Master's degree in Computer Science or related field