Pay@, a leading payment aggregator and provider of secure payment solutions, is looking for a Senior Data Engineer to join their growing team based in Stellenbosch. This role focuses on designing, building, and maintaining scalable data pipelines and architectures that enable advanced analytics and support data-driven decision-making across the organisation.

The ideal candidate is a proactive, self-directed individual with strong technical expertise, excellent problem-solving ability, and the ability to work both independently and collaboratively in a fast-paced environment.

Responsibilities include:

• Design, build, and maintain scalable ETL/ELT data pipelines using Python, SQL and cloud-native tools.

• Integrate and harmonise data from multiple sources, including transactional systems, accounting platforms, and CRM tools.

• Develop and manage data warehouse structures across environments such as SQL Server and PostgreSQL.

• Ensure data quality, reliability, and performance through monitoring, validation, and optimisation processes.

• Collaborate with data architects, analysts, and business stakeholders to deliver fit-for-purpose data products.

• Implement and maintain data governance, documentation, and best practices.

• Research and implement new data technologies and improvements to existing systems.

• Support deployment processes, version control, and system integration.

• Contribute to data modelling, architecture decisions, and technical strategy

• Build prototypes and proof of concepts where required.

• Assist with disaster recovery planning and system resilience.

• All other tasks related to the role.

Minimum requirements:

• Degree in a relevant field (Information Systems, Computer Science, Engineering, Mathematics or similar role).

• 8+ years’ experience in a data engineering or similar role.

• Strong proficiency in SQL and Python.

• Proven experience building and maintaining data pipelines and data architectures.

• Strong communication skills in English with the ability to work effectively with both technical teams and non-technical business stakeholders.

• Own reliable transport.

Advantageous:

• Experience with data orchestration tools (e.g. Airflow).

• Understanding of data warehousing and dimensional modelling.

• Exposure to systems such as SQL Server, PostgreSQL, Sage One, Xero, Business Central, HubSpot, or Microsoft Dataverse.

• Experience with Agile / Scrum delivery practices.

• Experience in fintech, payments, or financial services.

• Experience documenting data architectures, data models, or data dictionaries.

Please apply online at www.m3online.co.za before 09:00 on 24 April 2026.

For general enquiries, contact our team at M3 Human Capital Management on XXX-XXXX.

Please note that only shortlisted candidates are contacted. If you don’t hear from us within two weeks of the closing date, please assume that your application was unsuccessful.