Website Hollard Insurance
With Hollard and Hollard International you have access to short term and life insurance across Africa
Job Advert Summary
- We are developing and refining our existing IoT platform, policy management system, and agent app. To support these efforts, we need to migrate and improve our business intelligence (BI) infrastructure.
- As a Data Engineer, you will take ownership of this migration, focusing on designing and building scalable data pipelines that will support our BI and analytics needs.
- In this role, you will be responsible for evaluating architectures and technologies, building proofs of concept (PoCs), and driving the development of ETL processes that will enhance our data infrastructure.
- You’ll work closely with other team members to ensure the systems you develop are cohesive, maintainable, and scalable, aligning with the broader goals of the organisation.
Required Knowledge and Experience
- Hard skills
- Experience with data warehousing solutions.
- Strong data modelling skills, ensuring data structures are efficient and well-optimised.
- Experience designing and implementing ETL processes and data pipelines.
- Experience with Python and its libraries commonly used in data engineering.
- A strong understanding of relational databases (e.g. MySQL, PostgreSQL) and SQL.
- Experience with AWS (S3, EC2, GLUE, Redshift).
- Strive to create clean, maintainable code with an emphasis on scalability and performance.
- Emphasis on testability, implementing proper unit and integration tests in data pipelines.
- Have strong research skills to stay up to date with new technologies.
Soft skills
- Be diligent, with strong attention to details such as naming conventions, data accuracy and performance optimisations.
- Be willing to work closely in a team, and contribute to the overall Lumkani development practice.
- Be excited about sharing knowledge with the team and learning from others.
- Be self-motivated, with the ability to work autonomously and deliver quality work under minimal supervision.
Educational Requirements
- 6+ years of relevant work experience in Data Engineering.
- Be able to demonstrate data-related projects or code you are proud of.