Overview

Data Engineer – Databricks Jobs in Cape Town, Western Cape, South Africa at ExecutivePlacements.com

Title: Data Engineer – Databricks

Company: ExecutivePlacements.com

Location: Cape Town, Western Cape, South Africa

Data Engineer – Databricks

Recruiter:

Psybergate (Pty) LTD

Job Ref:

PR000796/RN

Date posted:

Thursday, May 14, 2026

Location:

Cape Town, South Africa

Salary:

Monthly

SUMMARY:

Psybergate is an IT company that builds bespoke software solutions and provides highly skilled resources to its clients.

We are looking for a Data Engineer – Databricks to join our financial services client on a contract basis (hybrid).

POSITION INFO:

What you will be doing:

  • Act as Databricks Workspace Administrator, managing platform operations at scale
  • Manage workspace governance, including access controls, cluster policies, job permissions, and cost/usage controls
  • Design, create, and maintain Unity Catalog structures (catalogs, schemas, tables, and views)
  • Implement and maintain permission models aligned to governance and compliance standards
  • Manage identity and service principals, including least-privilege access models
  • Support CI/CD, automation, and non-human identity integration across platforms
  • Onboard and support tenant teams across analytics, ML, and GenAI workloads
  • Run enablement sessions and provide guidance on best practices for Databricks usage
  • Troubleshoot platform configuration and access issues
  • Develop and maintain platform monitoring, dashboards, and alerting solutions
  • Support SQL-based reporting and dashboard development within Databricks
  • Maintain runbooks, documentation, and platform standards
  • Drive automation, standardisation, and continuous platform improvement
  • Support Hive/Glue and JDBC data pipeline setup and maintenance within Databricks

What we are looking for:

  • Relevant Degree or Diploma in Computer Science, Information Technology, Data Engineering, or related field
  • 4+ years’ industry experience in data engineering or platform engineering environments
  • 2+ years’ hands-on experience as a Databricks Workspace Administrator
  • Experience managing users, groups, and service principals (least-privilege access models)
  • Strong understanding of data engineering, analytics, and AI/ML workloads
  • Experience working in enterprise or regulated environments with strong governance requirements
  • Strong SQL skills and experience with dashboard development/maintenance
  • Experience with Hive/Glue and JDBC data pipeline setup and maintenance
  • Strong communication skills and ability to engage with multiple stakeholder/tenant teams
  • Understanding of cloud data platform concepts (AWS or Azure)

Advantageous:

  • Experience supporting ML and Generative AI workloads on Databricks (e.g., RAG, model serving, evaluation workflows)
  • Experience integrating Databricks with CI/CD and automation pipelines
  • Exposure to platform engineering standards, templates, and self-service onboarding models
  • Cloud platform experience (AWS or Azure)

Please note if you do not hear from us within 3 weeks, please consider your application unsuccessful.

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