Senior Data Engineer

We are seeking an experienced Senior Data Engineer to join a high-impact greenfield data platform initiative within the healthcare and medical scheme administration environment. This is a highly technical, delivery-focused role responsible for building the future-state MVP and establishing the foundational architecture, engineering standards and reusable patterns required to support the long-term scalability and automation of the data platform.

The successful candidate will be comfortable working independently, translating business and analytics requirements into robust technical solutions, and operating within a POPIA-sensitive health-data environment . Key Responsibilities Design and build the future-state data platform MVP , including scalable data pipelines and transformation processes. Develop and implement automated data ingestion and integration patterns .

Build robust and reusable Snowflake data models aligned to business and analytics requirements. Develop transformation workflows using dbt , applying modern analytics engineering practices. Implement data ingestion using Fivetran and establish reliable integration patterns. Design and implement automated data quality checks, testing and validation frameworks . Establish monitoring and controls to ensure data accuracy, reliability, availability and performance.

Apply CI/CD practices across data and analytics engineering workflows. Implement and promote DataOps practices to improve automation, deployment, monitoring and operational reliability. Support migration from legacy reporting processes to the target-state data architecture . Establish reusable engineering standards, frameworks, patterns and documentation for future phases of the platform. Develop and support the Power BI reporting layer required for the MVP.

Collaborate with business, analytics and technical stakeholders to translate requirements into scalable technical solutions. Ensure solutions are designed with appropriate security, governance, metadata management and POPIA considerations . Provide technical guidance and knowledge transfer to Medscheme staff , supporting the sustainable adoption of the new platform. Troubleshoot technical issues and continuously improve the performance, scalability and reliability of the data platform.

Requirements Required Technical Skills The successful candidate must have strong, hands-on experience with the following technologies and disciplines: Snowflake dbt AWS Fivetran Power BI Advanced SQL Data modelling Modern data engineering Automated data quality and testing CI/CD for analytics engineering DataOps Metadata management Data integration and pipeline development Important: Candidates should have direct, practical experience across the required modern cloud data engineering stack.

Adjacent or theoretical exposure will not be sufficient. Candidate Profile We are looking for a self-sufficient Senior Data Engineer who can take ownership of the technical build and deliver outcomes with minimal supervision. The ideal candidate will: Have strong senior-level experience in modern cloud data engineering. Be highly proficient across the Snowflake, dbt, AWS and Fivetran technology stack.

Have experience designing and implementing scalable data platforms and pipelines. Understand modern DataOps, CI/CD and automated data quality practices. Be capable of developing reusable frameworks and engineering standards rather than one-off solutions. Be comfortable translating business and analytics requirements into technical solutions. Have strong data modelling and SQL capabilities. Be able to work independently in a delivery-focused environment.

Have strong problem-solving and analytical capabilities. Be comfortable working with sensitive and regulated data. Understand the importance of data governance, security, quality and metadata management. Be able to communicate effectively with both technical and non-technical stakeholders. Have the ability and willingness to transfer knowledge to internal Medscheme teams . Be outcome-oriented and accountable for delivering agreed technical outcomes.

Key Deliverables The successful candidate will be expected to deliver: Future-state data platform MVP Snowflake-based data models and pipelines Automated data ingestion and transformation processes Automated testing and data quality controls Monitoring and reliability mechanisms Foundational architecture for future platform phases Reusable data engineering standards, frameworks and patterns Power BI reporting layer supporting the MVP Documentation and knowledge transfer to internal teams Environment The role will operate within a healthcare / medical scheme administration environment , where data may include sensitive health-related information.

Strong attention to data security, governance, privacy and regulatory requirements is therefore essential. Experience working with POPIA-sensitive or other regulated data environments will be highly advantageous. Contract Details Role: Senior Data Engineer Industry: Healthcare / Medical Scheme Administration Location: Waterfall, Midrand, Johannesburg Work Model: Hybrid Contract Duration: 5 months Start Date: 1 October 2026 Application Requirements Interested candidates should submit an updated CV clearly highlighting: Hands-on Snowflake experience dbt experience AWS experience Fivetran experience Advanced SQL and data modelling Data pipeline and platform engineering experience Automated data quality and testing CI/CD and DataOps implementation Power BI experience Experience working with regulated, sensitive or healthcare data, where applicable Availability from 1 October 2026 Candidates with strong hands-on experience across the complete required technology stack are strongly encouraged to apply.