Data Engineer | On-site | George, Western Cape at Badger Holdings (Pty) Ltd

Help shape our next data platform.

• We’re modernising our data platform and looking for an experienced Data Engineer to help build it.
• You’ll work with analysts, data scientists and business teams to build reliable pipelines, develop well-structured data models and make data easier to use across the business.
• We’re moving from legacy systems to a cloud-native stack using Estuary, dbt, Google Cloud Platform (GCP) and Snowflake. There’s plenty to work through, and you’ll have a say in the architecture, tools and engineering practices we put in place.
• If you enjoy getting into the detail, solving problems and seeing your work put to use, we’d like to hear from you.

What you’ll work on

• Design and build scalable ELT pipelines that bring together data from multiple sources.
• Develop and maintain data models using dbt.
• Optimise Snowflake models and workloads for performance and cost.
• Turn raw data into reliable datasets for reporting and advanced analytics.
• Build in data quality checks, monitoring and alerts so issues are picked up early.
• Help plan and deliver the migration from legacy systems to the new platform.
• Apply sound engineering practices, including testing, CI/CD and code reviews.
• Work with technical and business teams to understand what they need and deliver practical solutions.
• Contribute to documentation and engineering standards, and support junior engineers as they develop.

Requirements

What you’ll need

• A relevant tertiary qualification: a diploma or bachelor’s degree in Computer Science, Information Technology, Information Systems, Data Engineering or a closely related field.
• At least four years’ experience in data engineering or a similar role.
• Strong SQL skills, including experience with complex transformations and query optimisation.
• Proficiency in Python or a similar language for data processing and automation.
• Experience building ELT pipelines in a cloud environment such as AWS, Azure or GCP.
• Hands-on experience with a modern data warehouse such as Snowflake or Azure Synapse.
• Experience using data transformation or orchestration tools such as dbt, Airflow or Dagster.
• Experience working with structured and semi-structured data, including JSON and Parquet.
• A sound understanding of data governance, security and data quality practices.
• You should be comfortable taking responsibility for your work, explaining technical decisions and working through problems with people across the business.

Experience that would be useful

• Estuary or other data integration and change data capture tools.
• Streaming technologies such as Kafka or Spark Streaming.
• BI tools such as Qlik, Power BI, Looker or Tableau.
• Qlik Replicate, Qlik Compose or similar tools.
• Agile delivery using Jira or Azure DevOps.
• DevOps practices or relevant cloud, Snowflake or dbt certifications.

What makes this role interesting

• You’ll join a growing data function at a point where your experience can help shape how the platform develops. Alongside building pipelines and models, you’ll contribute to architecture decisions, establish working practices and mentor junior engineers.
• It’s an opportunity to work with a modern stack and see the effect of your work across the business.