Data Engineer | On-site | George, Western Cape

Your day-to-day will include:

• Designing and building scalable ELT pipelines from multiple data sources
• Developing clean, well-structured data models using dbt
• Optimising data models and workloads within Snowflake
• Transforming raw data into high-quality, analytics-ready datasets
• Implementing data quality checks, monitoring, and observability
• Improving performance and managing cloud cost efficiency
• Applying engineering best practices CI/CD, testing, code reviews
• Collaborating with cross-functional teams to deliver practical, scalable solutions
• Contributing to standards, documentation, and mentoring junior engineers

Requirements:

• 4–6+ years’ experience in Data Engineering or a similar role
• Strong SQL skills and experience working with complex transformations
• Proficiency in Python or similar for data processing and automation
• Experience building ELT pipelines in cloud environments AWS, Azure, or GCP
• Hands-on experience with modern data warehouses e.g. Snowflake, Synapse
• Familiarity with tools like dbt, Airflow, or Dagster
• Experience working with structured and semi-structured data JSON, Parquet
• A solid understanding of data governance, security, and best practices

Bonus if you’ve worked with:

• Real-time/streaming technologies Kafka, Spark Streaming
• BI tools like Qlik, Power BI, Looker, or Tableau
• Qlik Replicate / Compose or similar tools
• Agile delivery environments Jira, Azure DevOps
• Cloud certifications or exposure to DevOps practices