An exceptional opportunity for a Senior Data Engineer to join one of the world’s leading technology businesses in the online gaming industry, building the cloud-native data platform that powers analytics, AI/ML and commercial reporting across a global operation.
You’ll design high-performance SQL data models, build modern ELT pipelines, and take ownership of large-scale data platforms using Snowflake, Python, dbt and AWS.
This Senior Data Engineer position is based in Cape Town or Durban offering R1.4M per annum.
THE COMPANY
A global technology company at the forefront of the iGaming industry, developing premium online gaming content and digital gaming platforms used by licensed operators worldwide. With more than 1,300 proprietary games, partnerships with 40+ game studios, and technology powering over 600 online gaming brands, the business operates one of the industry’s largest technology ecosystems.
Technology sits at the heart of the business. Engineering teams build cloud-native platforms and modern data infrastructure that enable analytics, AI/ML, experimentation and commercial insight at global scale.
THE ROLE
As a Senior Data Engineer, you’ll take ownership of one or more data domains, designing, building and operating the cloud-native data platform that powers analytics, AI/ML, experimentation and commercial reporting across a global technology business.
Working with SQL, Snowflake, Python, dbt and AWS, you’ll design scalable ETL pipelines, build curated data products and define the data models that enable reliable, high-quality insights across the organisation. SQL is at the heart of the role, with a strong focus on designing performant data models, optimising complex transformations and driving Snowflake performance and cost efficiency.
You’ll also establish best practices for data quality, observability and engineering standards, working closely with Data Scientists, Analytics Engineers, Platform Engineers and Software Engineers to deliver scalable, production-ready data solutions.
THE REQUIREMENTS
- 5+ years’ commercial Data Engineering experience
- Expert SQL with proven experience designing, optimising and tuning complex SQL solutions
- Strong Python development experience
- Commercial experience building ELT pipelines
- Extensive Snowflake experience, including performance tuning and query optimisation
- Advanced dbt experience
- AWS (or Azure) cloud experience
- CI/CD, Git and Infrastructure as Code (Terraform preferred)