Data Engineer

SUMMARY:
An Exciting Opportunity for a Data Engineer (Intermediate) – Fully Remote!

POSITION INFO:
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. 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

• 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

• 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

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