Data engineer in financial markets

Flow Traders is looking for a Core Data Engineer to own the end-to-end lifecycle of our most fundamental data products, including our Security Master; our reconciled ETF Compositions; high-resolution historical market data; and records of our trades, orders, quotes, and inquiries. High-quality data is the cornerstone of Flow Traders' strategic direction - beyond reducing complexity and BAU for stakeholders across the organization, quality data is a key requirement for our growth of quantitative trading styles.

• Craft datasets with quants. Take an underspecified research question and turn it into the right dataset: aligned, adjusted, point-in-time correct, documented, and reproducible.
• Develop and own the end-to-end lifecycle of these data products. Build and maintain pipelines, develop quality checks, correct day-to-day operational issues, and systematize/automate manual processing steps
• Own data quality where it matters. Design the checks and alerts that catch the problems that would actually hurt a strategy, and deliberately leave out the ones that are just noise.
• Build shared foundations. Reference data, instrument identifiers, corporate actions and vendor feeds that every researcher and trading desk depends on.
• Keep critical pipelines running. Markets in several regions, and digital asset markets that never close, depend on this data. You will be part of a team that supports it across time zones.

• Analytics or data engineering experience, ideally at a startup or scale-up through a growth phase
• Strong data modelling and data quality practice: tests, contracts, lineage, observability in production
• Strong proficiency in Python (ideally familiarity with another statically-typed language)
• Working proficiency with SQL and relational databases, and version control systems
• Demonstrated ability to work with large datasets and familiarity with big data solutions
• You have owned something in production, not only built it
• You enjoy working directly with the people who use your data
• Strong interpersonal and communication skills, with the ability to collaborate effectively with technical and non-technical stakeholders
• Ability to balance individual stakeholder requirements with data quality, consistency, and broad applicability
• Будет плюсом: Experience with financial data: prices, market data, transactions, instruments; Familiarity with point-in-time data, look-ahead bias and survivorship bias; Experience with a modern cloud data stack, such as Spark or Databricks, dbt, a cloud warehouse, and orchestration; Experience with Airflow, Kafka, and GCP (esp. GKE, Dataproc, and Big Query), strongly preferred; Experience with Polars, Pandas, Spark, Apache Beam, Apache NiFi; Experience at a trading firm, systematic fund, brokerage, crypto exchange or market data company; On-call or incident response experience

• At Flow Traders, we create the conditions for hard‑working, high‑performing people to do their best work. From a thorough onboarding and ongoing access to Flow Academy, to latest technology and a collaborative, non‑hierarchical culture, we give you the tools, ownership, and support to move fast and drive outcomes. We keep a close‑knit, small‑company feel while offering competitive salary, annual discretionary profit share, and comprehensive benefits, so talent can grow here, and stay here.
• Flow Academy and opportunities to attend domain-related conferences
• Daily catered lunch, great coffee, and a fully stocked kitchen and snack bar
• In-house Bar and Lounge with arcade, table tennis, billiards, and game consoles
• Company boat
• In-house gym and sessions with our nutritionist or personal trainer
• Bi-weekly massages
• Annual company trip and a variety of events throughout the year, such as the New Years Event
• Global rotations across our offices worldwide
• and more