Junior Data Engineer at Lesaka Technologies

The role

• EasyPay's transaction volumes generate data at serious scale, and that data needs to be clean, reliable and fast to query. You'll join the data team to build and maintain the pipelines that move transaction, merchant and reconciliation data from source systems into our warehouse — giving product, finance and risk teams data they can trust.

What you'll own

• Build and maintain ETL/ELT pipelines that ingest transactional data into our warehouse
• Write and optimise SQL to transform raw data into usable, well-modelled tables
• Monitor pipeline health and fix data quality issues before they reach downstream users
• Support data engineers and analysts with clean, documented datasets
• Contribute to version-controlled, tested data pipeline code
• Help maintain data pipeline documentation and lineage

What you bring

• 1-2 years' experience in a data engineering, analytics engineering, or backend data role
• Strong SQL skills — comfortable writing and debugging complex queries
• Working knowledge of Python for scripting and data transformation
• Exposure to a modern data warehouse (e.g. Snowflake, BigQuery, Redshift, or similar)
• Understanding of version control (Git) and basic CI/CD concepts
• Comfortable working with large, messy, real-world transactional data

Nice to have

• Experience with orchestration tools (Airflow, Dagster, or similar)
• Exposure to streaming data (Kafka, Kinesis)
• Interest or background in payments, fintech, or transaction processing