Manager: Data and Analytics (Analytics Engineering)

Manager: Data and Analytics (Analytics Engineering)

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:

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

We appoint energized and motivated people for their potential and continuously look for talented, driven individuals to help us innovate and evolve. That is why we focus on finding the right people for the right jobs. We love what we do because we focus on making a positive difference for our clients and employees. Our company DNA is built around talented and committed teams dedicated to building a brand that we are proud of and earns the trust of our clients.

Who we are:

We are a bank, but we’re much more than that. We believe that banking is about enabling people to control their financial lives through banking that is simplified, accessible, affordable, and delivered through personal experience. By helping our clients manage their financial lives better, we enable them to live better.

Why choose us:

At Capitec, we offer our best by living up to our CEO values in every situation – we always put the Client first, act with Energy, and take Ownership. And to support people in being their best, our Employee Value Proposition offers every value to all team members through cohesive teams, growth opportunities, as well as employee benefits and savings. We make it a priority to ensure that each member of the Capitec team feels welcome, valued, focused, and has the opportunity to grow.

About the role:

As the Manager: Analytics Engineering at Capitec, you will play a pivotal role in designing and managing scalable data pipelines and ensuring efficient analytics operations to empower data-driven decision-making. Your focus will be on driving innovation in data integration and feature store development, enabling seamless collaboration between data science and BI teams.

In this role, you will lead the creation of robust feature stores to support AI/ML model development and semantic models for enhanced analytics and reporting. You’ll ensure the alignment of data engineering solutions with analytics platforms while upholding best practices in data engineering and governance. By fostering collaboration and implementing cutting-edge solutions, you will contribute to Capitec's growth as a leader in advanced analytics and data-driven insights.

Our ideal candidate has:

• Over 5 years in data engineering or analytics engineering, including 2 years as a manager or team lead within an analytical team.
• Proficient in SQL and delivering complex analytical requirements.
• Experience managing senior and executive level stakeholders and influencing decision making at these levels.
• Utilising data pipelining tools such as Apache, Airflow, AWS Glue.
• Data visualisation with tools such as PowerBI.
• Experience with big data frameworks – Hadoop/Kafka.
• Github experience or Git.

Ideal:

• AWS experience.
• Simplify and make it easy.
• Earn and extend trust.
• Plan, deliver and raise the bar.
• Curious and continuously learns.
• Act, learn and adapt.
• Inspire optimism and persistence.
• Have courage, disagree and commit.

Education:

• Completed an Honors Degree or higher.

If you are interested in being part of this dynamic team, on a mission to build the best bank in the world through unlocking the potential of its people, please apply. We would love to hear from you!

Capitec is committed to diversity and, where feasible, all appointments will support the achievement of our employment equity goals.

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

Capitec Bank is an authorised financial services provider (FSP 46669) and registered credit provider (NCRCP13). Capitec Bank Limited Reg. No: 1980/003