Data Platform Engineer — Shape a Modern, Cloud-Native Stack

Badger Holdings (Pty) Ltd

George

On-site

ZAR 700,000 - 1,100,000

Full time

11 days ago
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Job summary

Badger Holdings (Pty) Ltd based in George, Western Cape, is seeking a Data Engineer to join on-site and help modernise our data platform. You’ll design and build scalable, cloud-native solutions that enable advanced analytics and reliable data flows.

Collaborate with analysts and data scientists to turn raw data into trusted, usable insights. You’ll drive migration from legacy systems to Estuary, dbt, GCP and Snowflake while shaping our data practices going forward.

Qualifications

  • You enjoy solving complex data problems.
  • Interest in modern tools and cloud-native data platforms.

Responsibilities

  • Build a scalable, cloud-native data platform that is reliable and well-structured.
  • Collaborate with analysts, data scientists, and stakeholders to deliver trusted data solutions.
  • Move from legacy systems to a modern stack using Estuary, dbt, GCP and Snowflake.

Job description

Data Engineer | On-site| George, Western Cape

Data Engineer | On-site| George, Western Cape

Build the data platform you wish you’d inherited

We’re in the middle of a major data platform modernisation and this is your chance to help shape it.

This isn’t about maintaining legacy pipelines. It’s about designing and building a scalable, cloud-native data platform that works. Reliable, well-structured, and ready for advanced analytics.

If you enjoy solving complex data problems, working with modern tools, and having a real say in how things are built, you’ll feel at home here.

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.

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