Job
Core
Architecting and maintaining data infrastructure powering a multi-regulated broker's organization, handling the full data lifecycle from ingestion to analysis to support business intelligence and strategic decision-making.
Role type
Middle Data Engineer
Builds
Robust, scalable data solutions including data integration pipelines, data models, and data estate architecture for a financial trading firm.
Domain
FinTech / Financial Trading / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, dbt, ETL/ELT processes, data modelling, analytical data pipelines, cloud-based technologies, operational stability, incident investigation
Preferred skills
ClickHouse, MPP databases, Airflow, Spark, Greenplum, automation tools (Codex/Clade/Cursor)
Technologies
Python, SQL, dbt, ClickHouse, MPP databases, Airflow, Spark, Greenplum, Cloud platforms
Responsibilities
Develop and maintain data integration solutions for ETL/ELT into Data Lake/Warehouse; Design and implement rich data models; Develop and onboard new data pipelines; Support data platform maintenance and incident investigation; Analyze business requirements for scalable analytics solutions; Evaluate and introduce new frameworks for platform improvement
Seniority
Middle, hands-on IC
