Intermediate to Senior AWS Data Engineer

Contract Duration:

3 months (October – December 2025)

Location:

Remote / South Africa (with international collaboration)

Compensation:

R95,000 gross per month

About the Role

We are looking for a highly skilled
Intermediate to Senior Data Engineer

to join our team on a contract basis, supporting an international client within their

ecosystem.

This is an exciting opportunity to contribute to a world-class project, building and optimising data solutions that drive performance, insights, and business outcomes at the highest level.

The successful candidate will design, build, and maintain scalable data pipelines and infrastructure on AWS, ensuring accuracy, security, and reliability.

You will work alongside cross-functional teams in a fast-paced environment where precision and innovation are paramount.

Key Responsibilities

• Design, develop, and maintain robust, scalable data pipelines and ETL/ELT processes
• Build and optimise data models for analytical and operational use cases
• Manage and enhance data infrastructure, focusing on performance, security, and reliability
• Collaborate with stakeholders to gather requirements and deliver fit-for-purpose data solutions
• Ensure data quality, governance, and integrity across multiple systems and platforms
• Monitor, troubleshoot, and proactively resolve data workflow issues
• Contribute to best practices in data engineering, architecture, and cloud-native solutions
• Evaluate and adopt new tools and technologies to improve data processes.
  
  

Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience
• 3–7 years of professional experience in data engineering or a related role
• Strong experience with
  SQL

and relational databases
- Proficiency in at least one programming language (
Python, Java, or Scala

)
- Hands-on experience with ETL/ELT frameworks and modern data pipeline tools
- Solid experience with
AWS data services

(e.g., Redshift, Glue, Lambda, S3, Kinesis)
- Knowledge of data warehousing concepts and tools (e.g., Redshift, Snowflake, BigQuery)
- Familiarity with big data technologies (Spark, Hadoop) is advantageous
- Strong understanding of data modelling, governance, and best practices
- Excellent problem-solving skills with the ability to work independently and collaboratively

Nice to Have

• Experience with real-time data streaming technologies (Kafka, Kinesis, etc.)
• Exposure to DevOps practices and CI/CD pipelines
• Knowledge of machine learning data preparation and feature engineering

What we offer

• The opportunity to work on
  international projects
• A collaborative and innovative work environment
• Continuous learning and exposure to cutting-edge technologies
• Competitive monthly rate:
  R95,000 gross