Senior Data Engineer - Financial Crime
Core
Building and maintaining high-performance data pipelines for fraud detection, entity resolution, and compliance analytics in a financial crime platform.
Role type
Senior Data Engineer (Financial Crime)
Builds
Real-time risk detection and case management data foundations
Domain
Financial Services / Financial Crime / Data Engineering
Deliverable
production ML models
Required skills
Python, PySpark, Scala, Advanced SQL, Databricks, Snowflake, Fabric, AWS (S3), Spark structured streaming, Git/DevOps/CI-CD, structured/unstructured data processing, Agentic AI, MLFlow, ML models, Eval
Preferred skills
Entity Resolution frameworks, data streaming frameworks (Kafka, MQ), Atlassian stack, web API frameworks
Technologies
Databricks, Snowflake, Fabric, AWS, S3, PostGres, Kafka, Spark Streaming, MLFlow, Python, PySpark, Scala, SQL, Git, Atlassian
Responsibilities
Build and optimize data ingestion pipelines using Python and PySpark; Design and maintain data models for fraud detection and entity resolution; Implement data quality checks; Collaborate with Data Scientists and Compliance teams to operationalize models; Manage large-scale data processing workloads using jobs, workflows, and APIs; Integrate with external systems to enrich risk and identity data.
Seniority
Senior, hands-on IC