Data engineering at Paystack focuses on building and extending platforms for managing data at scale. This involves data ingestion, processing, storage, and egress. Data engineers are also responsible for creating and maintaining the infrastructure on which our data platforms run.

Data engineers operate across a diverse tech stack. They are expected to be adaptable and drawn to learning new skills and technologies.

The role requires a proactive individual who can work independently and collaboratively within a remote‑first environment, has a strong software engineering background with good experience building and maintaining data pipelines, expertise in Python, and experience in streaming technologies.

Data Pipeline Development: Design, develop, and maintain robust data pipelines using ETL and ELT methodologies to process and integrate data from various sources into a data lake, a central data warehouse, operational data stor...