Data Engineer
Core
Build operational visibility and reliability tools for a financial crime prevention platform, combining BI reporting with production monitoring and client integrations.
Role type
Data Engineer (hybrid Data/DevOps)
Builds
Real-time dashboards, alerting systems, data modeling for analytics, and client-facing scoring service integrations.
Domain
Financial services / Fraud prevention / Machine Learning infrastructure
Deliverable
dashboards & analysis | production ML models | infrastructure
Required skills
Advanced SQL (PostgreSQL), Python scripting, Linux/Bash, Git, API management, Security best practices (certificates, secrets)
Preferred skills
Java or Kotlin, Elastic Stack (Elasticsearch, Kibana), Metabase/Superset/Tableau/Looker/Power BI
Technologies
Azure, PostgreSQL, Metabase, Elastic Stack, Linux, Bash, Python, Git
Responsibilities
Develop and maintain production monitoring tools and real-time dashboards; Build and evolve the BI stack and data models for analytics; Deploy and integrate the managed scoring service for clients; Manage production incidents including investigation and diagnosis.
Seniority
Mid-level (3+ years minimum, 5+ preferred)
