Senior Data and BI engineer
Core
Build and optimize large-scale data pipelines and machine learning infrastructure to support real-time risk management and fraud detection for global payment networks.
Role type
Senior Data and BI Engineer (MLOps focus)
Builds
Production data pipelines, feature stores, and ML/AI deployment infrastructure for risk and identity solutions.
Domain
Financial services / Payments / Machine Learning Operations
Deliverable
production ML models | infrastructure
Required skills
Spark, SQL, ETL, Data Pipelines Orchestration (Airflow/Control M), Power BI, DAX, Data Modeling, Performance Optimization, Distributed Computing
Preferred skills
Advanced SQL optimization, Tableau Prep, M language, LOD expressions, Interactive Dashboard Design, Data Governance
Technologies
Apache Spark, Apache Airflow, Control M, Power BI, SQL, VPM ML Platform
Responsibilities
Develop and execute large-scale ETL processes for data quality and predictive modeling; Build and maintain robust Spark pipelines for feature stores; Manage VPM ML platform infrastructure, datasets, and migrations; Optimize performance of existing data pipelines; Collaborate with Data Science teams to deploy ML models; Design and maintain interactive BI dashboards and reports.
Seniority
Senior, hands-on IC
