Data Engineer

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We're on the lookout for energetic, self-motivated individuals who share our passion for service in the banking industry. To be part of the journey, follow the steps below:

• To see what life at Capitec is all about and complete a short assessment, please click here!
• Once you have completed the above finalize your application by clicking apply below.

About The Role

We’re looking for a Data Engineer (L3) to own the evolution of our massive, cloud-native data platforms. This isn't about maintaining legacy pipelines; you’ll be leading high-stakes architectural design, specifically engineering for complex producer and consumer Redshift cluster environments on AWS. We operate at an incredible scale, running a powerhouse high-volume batch infrastructure while aggressively expanding our real-time footprint. Crucially, you'll help spearhead our shift toward adopting AI and agentic practices to build smarter, self-healing, and highly robust pipelines. Your design decisions will directly shape the data foundation for market-disrupting services and millions of banking clients. If you’re ready for high-autonomy, deep technical ownership, and systemic impact, let’s talk

Purpose Statement

To design, build, and optimise robust, scalable, and efficient data platforms and infrastructure that enable data-driven decision-making across the organisation. You will contribute to solution design, build and enhance data pipelines, and ensure the reliability, performance, and scalability of our data ecosystem.

What You'll Be Doing

• Design and build scalable data pipelines and data platforms (batch and streaming)
• Develop high-performance data solutions using Python and advanced SQL (Redshift focus)
• Contribute to solution design alongside Data Architects
• Build and maintain cloud-based data infrastructure (preferably AWS)
• Implement infrastructure as code (e.g., Terraform) and CI/CD practices
• Work with Git, deployment pipelines, and SDLC processes
• Design and optimise data lake, data warehouse, and integration patterns
• Enable data quality, monitoring, and governance frameworks
• Mentor and guide junior engineers and contribute to team capability building
• Partner with stakeholders to translate business requirements into scalable data solutions

What We're Looking For

• Bachelor’s Degree in Information Technology or related field
• Proven experience in data engineering at scale (senior/staff level)
• Strong experience in:
• Python
• Advanced SQL (query optimisation, tuning, indexing – Redshift preferred)
• Cloud platforms (AWS preferred)
• Experience with:
• Data warehousing and data lake architectures
• CI/CD, Git, and deployment practices
• Infrastructure as code (e.g., Terraform)
• Building and maintaining production-grade data pipelines
• Ability to work independently and contribute quickly in a complex environment
• Ideal / preferred:
• Honours Degree in IT, Computer Science, or related field
• Experience with::
• Azure or GCP (with proven ability to transition to AWS)
• Power BI and Microsoft data stack exposure
• Real-time / streaming data architectures
• Workflow orchestration tools
• Containerised solutions
• Exposure to machine learning data pipelines or predictive analytics environments
• Leadership & team contribution
• This is not a people management role, but you will:
• Provide technical mentorship and guidance to junior team members
• Help define frameworks, standards, and best practices
• Contribute to scaling and improving the engineering capability of the team
• We’re looking for someone who is:
• Self-managed and accountable
• Collaborative and team-oriented
• Comfortable working in a fast-paced, evolving environment

Minimum Experience

• A minimum of 8-10+ years’ experience in data engineering or related fields (aligned to staff-level capability)
• Proven track record of:
• Designing and delivering large-scale data solutions
• Driving business impact through data platforms
• Mentoring and developing other engineers

Education (Minimum)

• Bachelor's Degree in Information Technology

Education (Ideal Or Preferred)

• Honours Degree in Information Technology - Computer Science or Information Technology

Knowledge and Experience

Knowledge

• Expert level SQL knowledge with query optimisation and tuning and indexing strategies. Architecture design for batch and streaming systems
• Deep knowledge of multiple programming languages and implementation of advanced algorithms for data processing.
• Design enterprise wide real-time / batch data integration architectures.
• Advanced knowledge of one cloud platforms data services.
• Design and implementation of data lake, data warehouse or other patterns. Implementation of enterprise-wide data governance frameworks with automated quality and monitoring.
• Ability to performance optimize across heterogeneous systems.
• Design of multi-environment GitOps strategies, that includes feature flags and other advanced techniques.
• Design & Implementation of containerized data solutions and infrastructure using infrastructure as code
• Design and configuration enterprise workflow orchestration tools and pipelines

Experience

• Proven track record of leading large-scale data engineering projects and driving business impact through data solutions
• Experience with advanced data engineering tools and software (e.g., SQL, Python, Java, Apache Spark, Hadoop).
• Experience with machine learning algorithms and their application in predictive analytics
• Experience in designing and implementing complex data architecture and infrastructure.
• With cloud computing platforms (e.g., AWS, Azure, Google Cloud) and their data services 2.
• Experience in aligning data engineering projects with business strategy and goals.
• Experience in providing data-driven recommendations to senior management and influencing decision-making.
• Experience in leading and mentoring less experienced engineers and data teams.
• In people development, sharing and training.

Skills

• Analytical Skills
• Communications Skills
• Computer Literacy (MS Word, MS Excel, MS Outlook)
• Interpersonal & Relationship management Skills
• Problem solving skills

Additional Information

• Clear criminal and credit record

Capitec is committed to diversity, applications to this position will strictly be considered in support of our employment equity goals.