Core Data Engineer - Financial Markets & Data Quality

Flow Traders; Amsterdam; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Competitive salary

Profit sharing

Flow Academy

Daily catered lunch

Fully stocked kitchen & snack bar

In-house gym & wellness programs

Company boat

Annual company trip

Global office rotations

Job summary

Flow Traders in Amsterdam is seeking a Core Data Engineer to own the end-to-end lifecycle of our fundamental data products, including Security Master, reconciled ETF compositions, high-resolution market data, and trade records. You will build and operate data pipelines across multiple regions, ensuring accuracy and timeliness for traders and researchers.

The role requires strong Python and SQL skills, data modeling, and experience with big data stacks.

Qualifications

• Analytical or data engineering background, startup/scale-up experience.
• Strong data modeling and data quality practices.
• Proficient in Python; SQL and databases; version control.
• Experience with large datasets and production ownership.
• Excellent collaboration with stakeholders.

Responsibilities

• Own end-to-end lifecycle of data products and datasets.
• Build and maintain pipelines with quality checks and alerts.
• Develop datasets with researchers; manage reference data and identifiers.
• Keep critical pipelines running across regions and markets.
• Collaborate with quants, traders and data stewards across time zones.

Skills

Python

SQL

Data modeling

Data quality

Big data

Observability

Tools

Airflow

Kafka

GCP

Spark/Databricks

dbt

Job description

Flow Traders in Amsterdam is seeking a Core Data Engineer to own the end-to-end lifecycle of our fundamental data products, including Security Master, reconciled ETF compositions, high-resolution market data, and trade records. You will build and operate data pipelines across multiple regions, ensuring accuracy and timeliness for traders and researchers.

The role requires strong Python and SQL skills, data modeling, and experience with big data stacks.