CareerPlan

Job

Full-time2026-11-05 → 2026-11-09

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 processes, experiment tracking, feature stores, and A/B testing platforms

Domain

Financial services / Data Engineering

Deliverable

infrastructure

Required skills

Python, SQL, Database design, Data modeling, Data mining, Data segmentation, ETL development, 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; Maintain data science and analytics documentation; Collaborate with stakeholders to identify business value opportunities; Develop data science infrastructure including experiment tracking and feature stores.

Seniority

Senior, hands-on IC