Senior Data Engineer
Core
Build the next-generation data foundation for fraud prevention, including historization, batch pipelines, data quality frameworks, and observability tooling to support real-time fraud signals, model training, and rule evaluation.
Role type
Senior Data Engineer (Fintech)
Builds
Scalable batch pipelines, point-in-time-correct datasets, data quality controls, and observability capabilities for fraud prevention systems.
Domain
Fintech / Fraud Prevention / Data Engineering
Deliverable
production ML models
Required skills
Python, Apache Flink, Airflow, dbt, BigQuery, GCP or AWS, event time processing, state management, checkpointing, late-arriving data handling, feature preparation, model training workflows, backtesting, inference workflows, validation frameworks, monitoring, alerting, data lineage, engineering ownership.
Preferred skills
None stated.
Technologies
Apache Flink, Airflow, dbt, BigQuery, GCP, AWS
Responsibilities
Build accurate, point-in-time-correct datasets for model training and backtesting; Design and build scalable batch pipelines complementing existing streaming platforms; Develop robust controls for data completeness, freshness, anomaly detection, and business-logic accuracy; Build observability capabilities to surface pipeline failures and data drift; Partner with Data Scientists and Fraud Ops to translate use cases into scalable data products.
Seniority
Senior, hands-on IC
