Databricks Data Engineer (Sandton)

We work with the bold — the ones shaping the future of finance, AI, and Web3.
And at the heart of it all? Data. Real, messy, high-volume data that needs a master to tame it.

If your Databricks notebooks read like poetry, your PySpark jobs run cleaner than a fresh commit, and your Delta Lake sings in three-part harmony — we want to hear from you.

Right now, we’re hunting for a Databricks Data Engineer who can turn data chaos into something scalable, automated, and genuinely elegant.

What You’ll Be Doing

• Building and optimizing data pipelines that crunch millions of records — fast.
• Architecting Delta Lake layers (Bronze, Silver, Gold) that make analytics teams smile.
• Integrating Databricks with cloud-native stacks (AWS, Azure, GCP).
• Automating workflows, testing relentlessly, and tuning clusters like a performance car.
• Applying governance and compliance principles (Unity Catalog, access control).

What You Bring

• Databricks Mastery: Deep hands-on experience with clusters, jobs, and notebooks.
• Languages: Python (PySpark) and SQL fluency that borders on artistry.
• Big Data Know-how: Strong grasp of Spark fundamentals — RDDs, DataFrames, and distributed computing.
• Data Modeling: You’ve built star/snowflake schemas and understand the Medallion Architecture.
• DataOps Skills: Experience with Git, version control, and CI/CD for data workflows.
• Bonus points for financial data experience or work in regulated environments.

The Offer

Contract role based in Sandton / Remote, paying around R600 per hour (negotiable based on skill and delivery firepower).

Contact Garth at garthz@e-merge.co.za
Or call 011 463 3633 to talk about this or other top-tier opportunities.