Senior Data Engineer

3 hours ago

Sandton, Gauteng, South Africa Clinix Health Group (Pty) Ltd Full time R800 000 - R1 200 000 per year

Company description: The Clinix Health Group (CHG) assists communities to live longer, healthier lives through the provision of quality and affordable healthcare. The group provides integrated world-class healthcare systems both internally and externally to the broader ecosystem as a trusted local citizen.

Job Title : Senior Data Engineer

Location : Clinix Head Office (Hyde Park)

Reports to : Head of Data Science and Analytics

JOB SUMMARY

We are seeking a Senior Data Engineer to lead the design, development, and optimization of scalable data pipelines and platforms. This is a hands-on technical role with strategic impact, ideal for someone who is passionate about building robust data infrastructure that powers analytics, automation, and decision-making in a hospital group.

REQUIREMENTS

Minimum Qualifications

  • Bachelor's degree in computer science, Information Systems, or related field.

Minimum Experience

  • Minimum 5+ years in data engineering, with proven experience in data warehouse design and development.
  • Experience in building scalable data infrastructure and integrations.
  • Advanced SQL knowledge and working with RDBMS such as SQL Server, and
  • Strong understanding of data governance, security, and compliance.
  • Excellent communication and documentation skills.

TECHNICAL SKILLS

  • SQL Server (Advanced): T-SQL, CTEs, window functions, schema design, performance tuning.
  • SSIS: Lookup, Merge Join, Conditional Split, Derived Column, incremental loads.
  • Python: pandas, SQL alchemy, API integration, automation scripting.
  • Workflow Automation: SQL Server Agent, Windows Task Scheduler, PowerShell.
  • Cloud & DevOps (Bonus): Azure Data Factory, CI/CD pipelines.
  • Deliver & Mentor: Build and enhance robust data pipelines, manage real-time and historical data migrations, and guide junior data engineers.
  • Strong SQL development, data modelling, and data governance skills.

DELIVERABLES

  • Design, build, and maintain ETL/ELT pipelines using SQL Server, SSIS, and Python.
  • Automate data ingestion from SAP, APIs, and external databases into a centralised data warehouse.
  • Optimize SQL Server performance through indexing, partitioning, and execution plan analysis.
  • Develop and manage SSIS packages with advanced transformations and dynamic workflows.
  • Implement orchestration using SQL Server Agent, PowerShell, and Python scripts.
  • Collaborate with cross-functional teams to support analytics, reporting, and machine learning workflows.
  • Reverse-engineer and document data lineage across systems for governance and traceability.
  • Drive performance tuning, monitoring and continuous improvement initiatives across all data platforms.
  • Mentor and guide junior data engineers.

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