Data Engineer
Core
Build and maintain reliable, auditable, and secure data pipelines for a multi-tenant financial services data platform.
Role type
Data Engineer
Builds
Multi-tenant financial services data platform
Domain
Financial services / Fintech
Deliverable
production ML models | product features
Required skills
Python, SQL, C#, ETL pipeline development, data modeling, cloud data architecture, CI/CD, version control
Preferred skills
Cloud Data Certifications, financial services domain experience, regulated environment experience
Technologies
Azure Data Lake Gen2, Blob Storage, Azure SQL, PostgreSQL, Azure Synapse Analytics, Azure Data Factory, Azure Web Apps, Azure DevOps, Azure Entra, Key Vault, Git, VS Code, Visual Studio
Responsibilities
Build and monitor daily/incremental ETL pipelines and Data Platform APIs; Enforce tenant-level data isolation using schemas, partitions, RBAC, and standardized conventions; Develop and maintain analytics and reporting models; Assist with client onboarding by validating source data and troubleshooting data quality issues; Ensure adherence to regulatory standards (e.g., POPIA) via encryption, data masking, and audit retention.
Seniority
Mid-level, hands-on IC
