Data Engineering Team Lead

Johannesburg, Gauteng, South Africa

Job Description

This is a unique opportunity to shape a new data warehouse, develop scalable data pipelines, mentor junior talent, and partner with C-level stakeholders. You'll play a key role in delivering business-critical insights while establishing best practices in a modern Azure-centric environment.
Qualifications:

  • BSc in Computer Science, IT, Engineering, or equivalent
  • Preferred certifications:
  • DP-203 (Azure Data Engineer Associate)
  • DP-600 (Fabric Analytics Engineer Associate)
  • DP-700 (Fabric Data Engineer Associate)
Requirements:
  • 5+ years' experience in Azure Data Services: Synapse, Data Factory, Databricks, SQL, etc.
  • Proven hands-on experience with Microsoft Fabric: Pipelines, Lakehouse, Warehouse, and Semantic Models
  • Strong T-SQL, PySpark, and Spark SQL skills
  • Deep understanding of ETL/ELT, data governance, and security best practices
  • Familiarity with CI/CD tools (Azure DevOps, GitHub, and Power BI Deployment Pipelines)
  • Strong track record in designing Star Schema-based data models
  • Experience using Power BI Premium/Embedded
  • Experience leading and scaling data teams
KPA's:
  • Lead the design and implementation of scalable Microsoft Fabric data pipelines
  • Architect the data warehouse and ensure high-quality, secure data flows
  • Manage data ingestion, transformation, and integration processes
  • Develop and optimize semantic models and Power BI dashboards
  • Partner with stakeholders to translate analytics needs into technical solutions
  • Mentor and grow a data team, starting with an existing Analyst
  • Maintain documentation, testing, and alignment with business requirements
  • Own infrastructure performance, governance, and data reliability
Bonus Points For:
  • Experience with AI/ML models or predictive analytics
  • Background in financial services, regulatory reporting, or sales optimisation
What's In It For You?:
  • A strategic leadership role with ownership of end-to-end data initiatives
  • Work with cutting-edge Azure & Fabric technologies
  • Be part of a collaborative, innovative team with executive support
  • Competitive salary, hybrid work, and growth opportunities
Apply now!
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Job Detail

  • Job Id
    JD1485320
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Johannesburg, Gauteng, South Africa
  • Education
    Not mentioned