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

What you’ll be doing (and why it matters)

• You’ll play a key role in building the foundation that powers data across the business.
• Working closely with analysts, data scientists, and stakeholders, you’ll design and deliver data solutions that turn raw data into something trusted, usable, and impactful.
• A big part of your focus will be helping us move from legacy systems to a modern stack using Estuary, dbt, GCP, and Snowflake, not just executing the migration, but helping define how we do things going forward.

Requirements

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

What you bring

You’re someone who takes ownership, enjoys solving problems, and cares about doing things properly, not just quickly.

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

Why this role is worth your time

• You’ll help build (not inherit) a modern data platform
• You’ll work with a forward-looking tech stack (dbt, Snowflake, GCP)
• You’ll have real input into architecture, standards, and best practices
• You’ll be part of a growing data function where your impact is visible
• You’ll have the opportunity to mentor and shape how the team evolves