Psybergate is an IT company that builds bespoke software solutions and provides highly skilled resources to its clients.
We are looking for a Data Engineer to join our financial services client based in Sandton.

We are looking for a technically skilled Data Engineer with solid hands-on experience in building and maintaining end-to-end data solutions on AWS. The ideal candidate will be comfortable working across the data pipeline – from ingestion to transformation to delivery – while ensuring performance, scalability, and data quality.
What you will be doing:

  • Collaborate with analysts, developers, architects, and business stakeholders to understand data needs and deliver technical solutions.
  • Design, build, and maintain data pipelines and integrations using AWS services such as S3, Glue, Lambda, and Redshift.
  • Develop and manage data lakes and data warehouses on AWS.
  • Support and maintain production and non-production data environments.
  • Optimize data storage and query performance through schema design and efficient data processing.
  • Implement CI/CD practices for data infrastructure, including monitoring, logging, and alerting.
  • Ensure data quality, security, and governance across all stages of the data lifecycle.
  • Document data models, pipelines, and architecture for internal use and knowledge sharing.
  • Stay current with AWS data services and best practices.
  • Contribute to a culture of continuous improvement and knowledge sharing within the team

What we are looking for:

  • Completed Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
  • 5 – 7 years of experience in data engineering.
  • 3 years of hands-on experience with AWS, including:
  • S3, Glue, Spark, Athena, Redshift, RDS, Lambda, Lake Formation
  • Strong SQL skills and experience with relational databases (e.g., PostgreSQL, Oracle, RDS).
  • Proficiency in Python or Scala for data processing.
  • Familiarity with infrastructure-as-code tools (e.g., Terraform, CloudFormation).
  • Understanding of data governance, security, and compliance in cloud environments.

Please note that if you do not hear from us within 3 weeks, consider your application unsuccessful.

Desired Skills:

  • Data Engineering
  • SQL
  • AWS
  • S3

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