Senior Data Science Architect

Bebeedataengineer; Gauteng; On-site; ZAR 600 000 - 800 000; Full time

Job summary

A leading data engineering firm in Gauteng is seeking a skilled Data Engineer. This role involves designing and maintaining complex data pipelines, providing technical mentorship to junior engineers, and ensuring optimal data quality. The ideal candidate has extensive experience in AWS cloud solutions and a strong ability to collaborate with stakeholders. This position offers the opportunity to work on innovative projects in a dynamic environment.

Qualifications

• Extensive experience in data pipeline development.
• Proficient in AWS and cloud-first data solutions.
• Strong skills in data quality optimization and automation.

Responsibilities

• Design and maintain complex data pipelines for a central data platform.
• Lead initiatives in automating CI/CD workflows for data engineering.
• Provide mentorship to junior data engineers and advocate best practices.
• Collaborate with stakeholders to translate requirements into deliverables.

Skills

Data pipeline development

AWS cloud solutions

Data quality checks

Technical mentorship

Stakeholder collaboration

Job description

About the Role

We are seeking a highly skilled Data Engineer to join our organization.

This individual will play a critical role in guiding best practices, mentoring junior engineers and contributing hands‑on to complex projects.

Responsibilities Data Engineering & Pipeline Development

Design, develop and maintain complex data pipelines from multiple sources into a central data platform / lakehouse.

Ensure reliability, scalability and maintainability of pipelines.

Optimize data flows and data quality checks.

Data Platform Design & Maintenance

Contribute to the architectural design and enhancements of the data platform.

Support the implementation of cloud‑first data solutions primarily in AWS.

Lead initiatives for automation, monitoring and CI / CD for data engineering workflows.

Technical Leadership & Mentorship

Provide technical guidance and mentorship to Data Engineers.

Advocate for best practices in data engineering including version control testing and documentation.

Conduct code reviews and support knowledge sharing across the team.

Stakeholder Collaboration

Collaborate with data scientists analysts software engineers and business stakeholders.

Translate business requirements into technical specifications and deliverables.

Support data consumers by developing reports data products and self‑service solutions.