Core Data Engineer
Flow Traders is a global technology-enabled multi-asset liquidity provider and market maker.
About Flow Traders
Flow Traders provides continuous on-exchange and off-exchange liquidity across exchange-traded products, fixed income, FX, commodities, and digital assets using proprietary trading technology. Its digital-assets business, active since 2017, includes crypto ETP market making, OTC trading, liquidity provision, and DeFi connectivity.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design, build, and own foundational data products, including security master data, ETF compositions, historical market data, and trading records. You will create automated pipelines, quality checks, and monitoring; work with users to turn research needs into reliable datasets; and improve data workflows across systems. You will help keep critical data pipelines operating across time zones.
Requirements
- Analytics or data engineering experience, ideally at a startup or scale-up
- Data modelling and data-quality practices, including testing, contracts, lineage, and production observability
- Python proficiency
- Familiarity with a statically typed language
- SQL and relational database proficiency
- Version control experience
- Experience working with large datasets and big data solutions
- Production ownership experience
- Interpersonal and communication skills
- Financial data experience
- Knowledge of point-in-time data, look-ahead bias, and survivorship bias
- Experience with Spark, Databricks, dbt, a cloud warehouse, and orchestration
- Experience with Airflow, Kafka, GCP, GKE, Dataproc, and BigQuery
- Experience with Polars, Pandas, Spark, Apache Beam, and Apache NiFi
- Experience at a trading firm, systematic fund, brokerage, crypto exchange, or market data company
- On-call or incident response experience
Responsibilities
- Craft reproducible, documented, point-in-time-correct datasets with quantitative researchers
- Develop and own the end-to-end lifecycle of data products
- Build and maintain automated data pipelines
- Develop data-quality checks and alerts
- Resolve day-to-day operational issues and automate manual processing
- Build shared reference-data foundations, including instrument identifiers, corporate actions, and vendor feeds
- Collaborate across the organization to design data-aware systems and improve data workflows
- Support critical pipelines across time zones
Benefits
- Annual discretionary profit share
- Daily catered lunch
- Great coffee and a stocked kitchen and snack bar
- In-house bar and lounge with arcade, table tennis, billiards, and game consoles
- Company boat
- In-house gym
- Nutritionist or personal trainer sessions
- Bi-weekly massages
- Annual company trip
- Company events
- Global office rotations