Data Engineer

We are hiring a Data Engineer to build a strong foundational platform that powers the business’s core data use cases, developing scalable, efficient, and robust pipelines through best-in-class coding practices, multi-source ingestion, and seamless ML model orchestration. The ideal candidate is analytical, curious, and collaborative, bringing a sharp eye for detail to craft data infrastructure that drives reliable, high-impact business outcomes.

As a Data Engineer, you will do the following:

Ingestion

• Build robust pipelines to ingest data from a variety of sources

ETL Development & Maintenance

• Continuously improve and maintain our ETL/ELT process, ensuring that the business has a set of clearly defined and highly useable tables that can be used to solve many business problems.
• Ensure code committed by other data departments is a good standard.
• Perform optimizations to keep processing costs controlled

Orchestration

• Build orchestration, version control and lineage systems to help identify bottlenecks and ensure a robust CICD process.

Collaboration & Communication

• Translate non-technical requirements into hard actions.
• Work with engineers to establish the “right” way to use generated data.

Requirements

• Bachelor’s degree (or higher)
• Minimum 3 years of proven experience post NYSC in data engineering roles.
• Great SQL skills with hands-on experience querying and joining large datasets.
• Proficiency in Python
• Experience with version control tools (e.g., Git).
• Experience with terraform for managing infrastructure and access management control.
• Strong communication skills for technical and non-technical audiences

Nice to Have:

• Direct experience in healthcare, health insurance, or insurance

Benefits

• Remote-First Environment

• Competitive Salary and Benefits

We offer a salary that’s benchmarked against the best in the industry, ensuring your expertise and impact are fully rewarded.