Data Engineer
Summary
Build and maintain secure, scalable ETL pipelines and data warehouses for a multi-tenant fintech platform using Python, SQL, Azure Synapse, and PostgreSQL.
Our client is looking for a Data Engineer to join their growing technology team supporting a multi-tenant financial services data platform in Bryanston, GP. This role is ideal for someone with a passion for building reliable, secure, and scalable data solutions while working alongside analytics, product, risk, and compliance teams.
You will play a key role in developing and maintaining data pipelines, ensuring high-quality data delivery, and supporting the ongoing enhancement of the company's cloud-based data platform.
Responsibilities:
- Build, maintain, and optimize ETL pipelines that ingest data from APIs, databases, and event-driven sources.
- Develop and maintain Data Platform APIs to enable reliable data ingestion and access.
- Implement tenant-specific configurations while adhering to established naming conventions.
- Apply tenant-level data isolation using schemas, partitions, and access controls.
- Build and maintain reporting and analytics data models using existing templates and shared standards.
- Monitor scheduled pipelines, troubleshoot failures, and resolve data quality issues.
- Maintain daily and incremental data warehouse loads.
- Assist with onboarding new clients by validating source data and testing pipeline outputs.
- Work closely with senior data engineers to implement best practices for multi-tenant architecture.
- Collaborate with analytics, product, and customer-facing teams to understand reporting requirements.
- Support regulatory and audit requirements by following data governance, retention, and audit standards.
- Handle sensitive financial and personal information (PII) in accordance with POPIA and company policies.
- Implement security best practices, including role-based access control, encryption, masking, and least-privilege access.
Requirements:
- Bachelor's Degree in:
- Data Science
- Computer Science
- Information Technology
- Or a related field
- Minimum 2 years' experience as a Data Engineer or in a similar technical role.
- Experience building and maintaining ETL pipelines.
- Working knowledge of cloud-based data platforms.
- Experience with relational and non-relational databases.
- Exposure to data warehousing concepts and best practices.
- Programming & Databases: Python, SQL, C#, PostgreSQL, Azure SQL and Relational & NoSQL databases
- Data Engineering: ETL Development, Data Pipeline Development, Data Modelling, Data Warehousing, Data Integration and Data Quality & Validation.
- Cloud Tech: Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Gen2, Azure Blob Storage, Azure Web Apps, Azure Entra ID, Azure Key Vault and RBAC (Role-Based Access Control)
- DevOps and Tools: Azure DevOps, Git, Visual Studio, Visual Studio Code and Excel
Advantageous:
- Cloud Data Certifications
- Experience within Financial Services or FinTech
- Exposure to regulated environments