Commercial Data Quality & Enablement Specialist

The South African Breweries; Randburg; On-site; ZAR 480,000 - 720,000; Full time

Job summary

The South African Breweries in Randburg is seeking a Analytics Data Engineer to connect, harmonise and quality-control commercial data across multiple source systems. The role ensures trusted, business-ready information is available for analytics and decision-making.

You will collaborate with Commercial stakeholders to define data requirements, maintain data documentation, and automate quality-control activities using SQL and Databricks.

Qualifications

• Bachelor’s degree in Information Systems, Data Engineering, Computer Science, Business Analytics or a related field.
• Minimum 2 years’ relevant experience in commercial data, analytics engineering, data quality, business intelligence or a similar field.

Responsibilities

• Connect, harmonise and quality-control data across multiple source systems to deliver trusted, business-ready information for analytics.
• Collaborate with commercial and technical stakeholders to define data requirements and ensure governance standards are followed.
• Automate repeatable quality-control, reconciliation and maintenance activities using SQL and Databricks or related tools.
• Provide data documentation, definitions and issue logs; maintain data pipelines and semantic models to support Power BI assets.
• Guide delivery with a basic understanding of data pipelines, ETL/ELT and data architecture without owning full pipeline development.

Skills

SQL skills

Data quality

Stakeholder coordination

Problem solving

Power BI

Analytics engineering

Data governance

Education

Bachelor’s degree in Information Systems or related field

Tools

Databricks

Job description

The South African Breweries in Randburg is seeking a Analytics Data Engineer to connect, harmonise and quality-control commercial data across multiple source systems. The role ensures trusted, business-ready information is available for analytics and decision-making.

You will collaborate with Commercial stakeholders to define data requirements, maintain data documentation, and automate quality-control activities using SQL and Databricks.