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Data Engineer

1 month ago


Pretoria, South Africa Network Recruitment Full time
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:
Join a team of over 80+ highly skilled technical professionals, working in a flexible, collaborative, and growth-focused environment. Youll 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

Apply now