Senior Data Engineer

About the role

We're looking for a Senior Data Engineer with strong data architecture and system design skills to design, build, and own end-to-end production pipelines powering analytics and decision-making across the org. The role centers on deep Python + SQL expertise, robust transaction-level fact tables, and rigorous data quality and auditability, ideally within a finance, risk, or compliance data domain.

What you'll do

• Own data architecture and system design decisions for pipelines and data models - grain, partitioning, schema evolution, and scalability tradeoffs
• Take end-to-end ownership of pipelines in production: design, build, deploy, monitor, and operate
• Design and build transaction tables (append-only, immutable event/transaction-grain fact tables) alongside standard fact/dimension models using medallion…
• Build and support pipelines for finance, risk, or compliance use cases where accuracy, auditability, and data lineage are critical
• Implement data quality and auditability controls: validation checks, reconciliation logic, anomaly detection, and audit trails for every pipeline you own

What you need

• 6–11 years in data science & ai
• SQL
• Python
• Pandas
• ETL
• Airflow
• Data modelling
• Any graduate

Good to have

• Hadoop
• Hive
• System design
• PostgreSQL
• CI/CD
• Reconciliation