Senior Data Engineer

Responsibilities

• Design and build robust ETL/ELT pipelines for both batch and real-time workloads.
• Implement end-to-end observability, including freshness checks, schema drift detection, and lineage tracking.
• Maintain data accuracy by defining and enforcing data contracts, SLAs, and SLOs.
• Optimize warehouse performance and cost through efficient partitioning, clustering, and orchestration.
• Build scalable data models using dimensional modelling, semantic layers, or Medallion architecture.
• Partner with product, finance, and compliance teams to translate business requirements into governed data products.
• Conduct peer reviews of pipeline code to maintain high engineering standards.

Requirements

• 6+ years of professional experience in data engineering.
• Proficiency in GCP and BigQuery.
• Strong expertise in Python and SQL.
• Hands-on experience with Airflow for orchestration.
• Experience with transformation tools such as dbt or Dataform.
• Experience with streaming technologies like Kafka or Pub/Sub.
• Deep understanding of data modelling techniques (e.g., Kimball, Data Vault, or Medallion).

Preferred Qualifications

• Background in fintech, trading, or highly regulated financial environments.
• Experience handling PII and implementing strict access controls and auditability.
• Experience with warehouse cost optimization and containerized data platforms.

About the Company

Deriv.com is a global fintech company on a mission of "Trading for Anyone, Anywhere, Anytime." We build the high-scale infrastructure that powers real-time trading decisions, fraud detection, and AI/ML systems for millions of users worldwide.