Lead and develop an in ‑ house data scraping and operations team
Coach developers and students entering the data scraping talent pipeline
Support hiring, onboarding, and capability ‑ building to expand internal expertise
Design, build, and maintain scrapers, ingestion workflows, and validation routines
Provide architectural direction across the Pre ‑ Trade technology stack, including Python ‑ based services and event ‑ driven pipelines
Drive modernisation and consolidation of scraper frameworks and ingestion strategies
Ensure stable, accurate , and timely data ingestion across markets and asset classes
Balance day ‑ to ‑ day operational support with delivery of roadmap ‑ driven enhancements

Strong hands ‑ on development experience using Python and C#/.NET
Experience with data ingestion pipelines, scrapers, or automation frameworks as well as operational data quality and time ‑ series validation
Familiarity with technologies such as ClickHouse , Postgres, Kafka, and messaging systems
Understanding of cloud platforms, CI/CD pipelines, and observability practices
Proven experience leading and mentoring engineers while remaining technically active
Exposure to market data, trading workflows, or high ‑ frequency ingestion environments
Knowledge of medallion architecture concepts such as Bronze, Silver, and Gold layers
Interest in applying AI ‑ based or agentic workflows to data ingestion or operational processes

Pre‑Trade Data Scraping & Operations Lead

Key skills