The Azure Data Engineer will be responsible for designing, building, optimizing, and maintaining data pipelines and data solutions within the Microsoft Azure ecosystem. The role requires strong experience in cloud-based data engineering, modern data architectures, and scalable data processing frameworks.

Key Responsibilities

• 
  Design, develop, and maintain
  Azure-based data pipelines
  (batch and streaming).
• 
  Implement ETL/ELT solutions using
  Azure Data Factory (ADF), Azure Databricks, Synapse Analytics
  , and related Azure services.
• 
  Build and optimize
  data models
  , including Data Lakehouse architectures (Medallion, Delta Lake).
• 
  Ensure data quality, integrity, and governance across all data processes.
• 
  Collaborate with data scientists, analysts, and business teams to provide clean, reliable datasets.
• 
  Perform pipeline monitoring, troubleshooting, performance optimization, and cost optimization.
• 
  Develop CI/CD pipelines using
  Azure DevOps
  for data-related deployments.
• 
  Implement security best practices, including
  RBAC, encryption, and data access governance
  .

Required Technical Skills

• 
  Strong proficiency with
  Azure Data Factory (ADF)
  ,
  Azure Databricks (PySpark)
  , and
  Azure Synapse Analytics
  .
• 
  Expert knowledge of
  Python
  ,
  SQL
  , and data transformation frameworks.
• 
  Experience with
  Delta Lake
  ,
  Spark
  ,
  Data Lake Storage (ADLS)
  , and distributed compute patterns.
• 
  Familiarity with
  Data Vault
  ,
  Dimensional Modelling
  , or
  Medallion architecture
  .
• 
  Experience with cloud DevOps tools (
  Azure DevOps, GitHub Actions
  ).
• 
  Knowledge of
  streaming technologies
  (Kafka, Event Hubs) is an advantage.

Requirements

Qualifications & Certifications (Preferred)

• 
  Azure certifications such as:
  • 
    AZ‑900 Azure Fundamentals
  • 
    DP‑203 Azure Data Engineer Associate
  • 
    Databricks Data Engineer certifications
• 
  Bachelor’s degree in Computer Science, Engineering, or related field.

Experience

• 
  5+ years of data engineering experience (Azure preferred).
• 
  Proven experience building and supporting production-scale cloud data solutions.

Location & Working Model

• 
  Location:
  Johannesburg (Hybrid working model)
• 
  Ways of Working:
  Standard SAST business hours
• 
  Candidate:
  Preferably a
  South African Citizen or Permanent Resident