Capitec Bank is seeking a mid-level Data Engineer to enhance their cloud-native data platforms. This role is perfect for someone who enjoys building scalable data solutions and wants to make a significant impact on banking services.
Innovative and data-driven
As a Data Engineer at Capitec Bank, you'll be at the forefront of developing and maintaining their extensive cloud-native data platforms. Your work will directly influence the data foundation that supports innovative banking services for millions of clients. This role is ideal for someone who thrives in a dynamic environment and is passionate about leveraging data to drive business decisions.
In your day-to-day responsibilities, you will design and build scalable data pipelines and platforms, ensuring they are robust and efficient. You'll work closely with Data Architects to contribute to solution designs and enhance existing data pipelines. Your expertise in Python and SQL will be crucial in developing high-performance data solutions, particularly with a focus on Redshift.
Key responsibilities include: • Designing and building scalable data pipelines and platforms (both batch and streaming) • Developing data solutions using Python and advanced SQL • Collaborating with Data Architects on solution design • Maintaining cloud-based data infrastructure, preferably on AWS • Optimizing data lakes, warehouses, and integration patterns
To succeed in this role, you should have a solid background in data engineering with at least three years of experience. Familiarity with cloud services, particularly AWS, and a strong understanding of data architecture principles will be essential. If you're ready to take on a challenging role that shapes the future of banking through data, this position is for you.
You'll be taken to the original listing on PNet to apply.