Job
Core
Designing and implementing data infrastructure, ETL processes, and analytics solutions to optimize statistical efficiency and quality for a global trading provider.
Role type
Senior Data Engineer
Builds
Databases, data collection systems, ETL pipelines, experiment tracking, feature stores, and A/B testing platforms
Domain
Financial services / Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Python, SQL, Database design, Data modeling, Data mining, Data segmentation, Data transformation, Metadata management, Dependency management, Workload management
Preferred skills
Databricks, Dataflow, Apache Spark, Prefect, MLflow, Machine Learning, Deep Learning
Technologies
Python, SQL, Databricks, Dataflow, Apache Spark, Prefect, MLflow
Responsibilities
Develop and implement databases and data collection systems; Acquire data from primary and secondary sources; Develop ETL processes; Develop and implement data science infrastructure including experiment tracking and feature stores; Ensure data quality, accuracy, and integrity; Maintain comprehensive data science and analytics documentation.
Seniority
Senior, hands-on IC
