Senior Data Engineer – Python, BigQuery and DBT

Design and build scalable ELT pipelines and data models primarily using Python, dbt, and BigQuery on GCP to handle large-scale financial datasets.

Implement and maintain data quality, reconciliation processes, and monitoring to ensure accuracy and reliability of business-critical financial data workflows.

Collaborate with cross-functional teams to translate financial data requirements into robust technical solutions and support continuous platform enhancements.

9+ years of experience in data engineering or related roles.

Mandatory domain experience in financial services or fintech, especially securities master data, corporate actions, index calculations, or market data vendor feeds.

Strong hands-on expertise with Python, BigQuery, dbt, Apache Airflow, and SQL including complex data modelling and performance tuning.

Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.

Experienced in handling complex financial data pipelines with a strong focus on reliability, idempotency, and observability in cloud-native environments.

Deep expertise in dimensional data modeling, ELT design patterns, and automated testing frameworks in a modern data stack context.

Comfortable working in globally distributed, fast-paced teams translating domain knowledge into high-quality data engineering solutions.