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Data Engineer

Full Time

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.

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