Data Engineer at Hire Resolve

Job Description

• 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