Senior Data Engineer

Tenth Revolution Group; City of Johannesburg Metropolitan Municipality; On-site; ZAR 700,000 - 1,100,000; Full time

Job summary

Tenth Revolution Group is seeking a Data Engineer to design, develop and optimise scalable ETL pipelines and data integration in a cloud-first environment. You will build data warehousing solutions on AWS Redshift, craft efficient SQL and Python transformations, and ensure data quality across platforms.

The role supports AI, robotics and automation initiatives, collaborating with analysts and data scientists. Prior experience in retail/FS/logistics and SAS is beneficial.

Qualifications

• 5+ years in data engineering or data warehousing.
• Experience designing, developing and maintaining ETL pipelines.
• Strong data modelling knowledge including Kimball methodology.
• Advanced SQL and Python scripting.
• Hands-on AWS experience, especially Redshift.
• SAS experience would be advantageous.
• Experience in retail, financial services or logistics would be beneficial.

Responsibilities

• Design, develop and optimise scalable ETL pipelines and data integration processes.
• Build and maintain cloud-based data warehousing solutions using AWS Redshift.
• Develop efficient SQL queries, Python scripts and data transformation processes.
• Support AI, robotics and automation initiatives across the business.
• Ensure data quality, reliability and performance across data platforms.
• Collaborate with analysts, data scientists and business stakeholders.

Skills

Advanced SQL

Python

ETL development

Data modelling

Kimball methodology

Education

5+ years data engineering/warehousing experience

Tools

AWS Redshift

Job description

This is an exciting opportunity to work with large-scale data environments, modern cloud technologies and innovative AI, robotics and automation initiatives that are helping shape the future of the business.

Key Responsibilities:

• Design, develop and optimise scalable ETL pipelines and data integration processes.
• Build and maintain cloud-based data warehousing solutions using AWS Redshift.
• Develop efficient SQL queries, Python scripts and data transformation processes.
• Support AI, robotics and automation initiatives across the business.
• Ensure data quality, reliability and performance across data platforms.
• Collaborate with analysts, data scientists and business stakeholders.

Key Requirements:

• Advanced SQL skills.
• Hands-on AWS experience, particularly Redshift.
• 5+ years' experience in Data Engineering or Data Warehousing.
• Experience designing, developing and maintaining ETL pipelines.
• Strong understanding of data modelling and Kimball methodology.
• SAS experience would be advantageous.
• Experience within retail, financial services or logistics would be beneficial.