add_filter( 'create_job_application_notification_headers', 'job_applications_cc_email' ); function job_applications_cc_email( $headers ) { $headers[] = 'Cc:info@tych.co.za'; return $headers; } @ini_set( 'upload_max_size' , '10M' ); @ini_set( 'post_max_size', '10M'); @ini_set( 'max_execution_time', '300' ); @ini_set( 'upload_max_size' , '10M' ); @ini_set( 'post_max_size', '10M'); @ini_set( 'max_execution_time', '300' );

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Information Technology

2x SENIOR DATA ENGINEER – JOHANNESBURG – GAUTENG Full Time

RESPONSIBILITIES:

  • Design, build, and optimize data pipelines and architectures using Microsoft Azure
    technologies to support analytics, machine learning, and data-driven decision-making.
  • Collaborate with data scientists, BI specialists, data analysts, and ICT application teams to
    deliver high-performance, scalable data solutions.
  • Implement and manage ETL/ELT workflows in Azure Data Factory, Synapse Analytics,
    Databricks, and related tools.
  • Develop and maintain data lakes and data warehouses to support enterprise reporting and
    analytics.
  • Ensure data quality, security, and governance by implementing validation, monitoring, and
    access control frameworks.
  • Maintain documentation and ensure adherence to data architecture standards and
    compliance requirements (e.g., POPIA, GDPR).
  • Support automation and DevOps practices, including version control, CI/CD pipelines, and
    infrastructure-as-code.
  • Provide technical input in budget planning, tool procurement, and cost optimization of cloud
    infrastructure.
  • Participate in data-related forums, project committees, and ICT governance initiatives to
    promote collaboration and innovation.
  • Stay abreast of advancements in cloud data engineering, share knowledge with the team, and
    lead the implementation of best practices.

    REQUIREMENTS:

  • Diploma/Degree (NQF Level 6) in Computer Science, Information Management Systems, or
    Data Science (Essential).
  • 3 years managerial level and 5+ years experience in data engineering or a similar role
    (Essential).
  • Strong expertise in Microsoft Azure, including:
    o Azure Data Factory
    o Azure Synapse Analytics
    o Azure Databricks
    o Azure Data Lake Storage (Gen2)
  • Proficiency in SQL, data modeling, and data warehousing concepts.
  • Hands-on experience with Python and/or R, including data processing (e.g., Pandas,
    PySpark).

Job Overview

  • Job ID: 145338
  • Date Posted:
  • Location: Johannesburg
  • Job Title: 2x SENIOR DATA ENGINEER – JOHANNESBURG – GAUTENG
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