Data Engineer I
Shoprite Group
Overview
The Data Engineer I role is designed to support the design, development, testing, and documentation of data engineering solutions in line with expectations. This position collects, manages, and converts raw data into usable information for data scientists, analysts, and business stakeholders, while also maintaining data pipelines, workflows, routine tasks, and quality controls to enable data-driven insights and operational efficiency.
Requirements
- Degree or Diploma in Computer Science, Engineering, Mathematics, or related field — NQF 5–6 (Essential)
- AWS Certification (Beneficial)
- 2–4 years relevant experience in a data team, including exposure to data science models and building/optimizing data pipelines (Essential)
- Basic knowledge of data engineering concepts, data modeling, and databases
- Technical skills such as: Python, PySpark, SQL, dbt (Data Build Tool), Git / Version Control, ETL pipeline development, Data modeling, Apache Airflow / Orchestration, Data quality frameworks and observability, Apache Iceberg / Delta Lake (open table formats), Terraform / Infrastructure as Code
- AWS Cloud — EMR, S3, Glue, Athena (Beneficial)
- Snowflake (Beneficial)
- Retail Operations experience
Responsibilities
- Creating data feeds from on-premises to cloud environments
- Supporting data feeds in production on a break-fix basis
- Building data engineering solutions in line with established expectations
- Managing and converting raw data into usable information for business stakeholders
How to apply
Verify before you apply
SpanSam summarises opportunities for easier discovery. Always confirm the closing date, eligibility requirements and submission instructions on the original source before sending personal information or documents.
About this listing: SpanSam is an opportunity discovery service and is not the hiring employer unless explicitly stated. Application decisions and source-listing changes are controlled by the employer or institution.