Capitec Bank is seeking a mid-level Data Engineer to enhance their cloud-native data platforms. This role is ideal for someone with a strong background in data pipeline design and a passion for innovative data solutions.
Innovative and collaborative, with a strong emphasis on technology and data-driven solutions.
As a Data Engineer at Capitec Bank, you'll play a crucial role in the development and maintenance of their extensive cloud-native data platforms. Your main responsibility will be to design and implement robust data pipelines that support the bank's shift towards AI and advanced data practices. This position requires a solid understanding of data warehousing, ETL processes, and cloud technologies.
In your day-to-day work, you will collaborate with data scientists and analysts to ensure data is accessible and reliable for various business needs. You will also be involved in optimizing existing data processes and exploring new technologies to enhance data capabilities. The role suits someone who is proactive, enjoys problem-solving, and is eager to learn about the latest trends in data engineering.
Key responsibilities include: • Designing and building data pipelines that are efficient and scalable. • Collaborating with cross-functional teams to understand data requirements. • Ensuring data quality and integrity throughout the data lifecycle. • Staying updated on industry trends and best practices in data engineering.
To be successful in this role, you should have at least five years of experience in data engineering, with a strong grasp of cloud platforms and SQL. Familiarity with AI and machine learning concepts will be advantageous. If you're looking to make a significant impact in a forward-thinking bank, this could be the perfect opportunity for you.
You'll be taken to the original listing on CareerJet to apply.