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  • Data Engineer - Pretoria - Network Recruitment

    Network Recruitment
    Network Recruitment Pretoria

    3 days ago

    Network Recruitment background
    Description

    Are you an experienced Data Engineer with a passion for building scalable data systems? A leading technology company is seeking an intermediate Data Engineer to join their fully remote team, supporting international marketplaces.

    This exciting opportunity allows you to work from anywhere within a 3-hour timezone of South Africa (SAST), with physical offices in Cape Town and Mauritius for those who prefer a workspace.

    Main Function:

    As a Data Engineer, you will be responsible for enhancing and maintaining data systems, automating processes, optimizing data delivery, and ensuring the scalability of technology. You will work with a wide range of tools and tech, building large and complex data sets, improving data pipelines, and supporting reporting and analytics infrastructure.

    Culture:

    You will join a team of over 80+ highly skilled technical professionals, working in a flexible, collaborative, and growth-focused environment. You'll have access to world-class resources and development opportunities, while enjoying the autonomy to expand your skills in an ever-evolving field.

    Qualifications:

    • BSc Degree in Computer Science, Information Systems, Engineering, or a related technical field (or equivalent work experience)
    • 3+ years of related work experience
    • Minimum of 2 years' experience building and optimizing big data data pipelines and architectures

    Requirements:

    • Strong proficiency in Python and SQL (PostgreSQL, MS SQL)
    • Experience with cloud services: AWS, Azure, or GCP
    • Proficiency in version control, CI/CD, and GitHub
    • Experience with Glue and PySpark (highly desirable)
    • Understanding of data lifecycle management, data quality assurance, and governance
    • Familiarity with message queuing, stream processing, and big data stores

    KPAs:

    • Suggest and implement improvements in data processes and automation
    • Enhance data systems and streamline data delivery
    • Assemble and maintain large, complex data sets that meet business requirements
    • Develop and maintain data pipelines, monitoring solutions, and documentation
    • Ensure data consistency, quality, and governance across systems
    • Support reporting and analytics infrastructure

    Our Tools & Tech:

    • Python
    • SQL
    • PySpark
    • AWS
    • Airflow
    • Docker
    • Terraform

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