Job Title: Data EngineerLocation: Remote (Kenya, South Africa, Philippines)Type: Full-Time, PermanentSalary: Market-Related
About our Client
Our client is a high-growth global technology company focused on delivering scalable solutions through innovation and digital excellence. With a strong commitment to remote collaboration and engineering excellence, they operate across multiple geographies, fostering a high-performance culture driven by data and cloud-native technologies.
About the Role
We are looking for an experienced Data Warehouse Engineer to architect and optimise cloud-based analytics infrastructure. This role is ideal for someone with deep expertise in AWS, a passion for building robust data platforms, and a strong understanding of data modelling, ETL/ELT workflows, and data visualisation tools.
What they offer:
Work alongside & learn from best-in-class talent
Excellent career development opportunities
Great work environment with a remote-first culture
Design and maintain a cloud-native data warehouse on AWS
Implement scalable data models in Amazon Redshift
Build and manage ETL/ELT workflows using Apache Airflow
Develop clear, actionable dashboards using Amazon QuickSight
Integrate with DynamoDB, EventBridge, and S3 to enable real-time and batch data flows
Collaborate with cross-functional teams to understand data requirements
Monitor data platform performance and costs, ensuring ongoing optimisation
Maintain high standards for data quality, security, and reliability
4+ years’ experience in cloud-based data warehousing (AWS preferred)
Advanced proficiency in SQL and Python
Hands-on expertise with Amazon Redshift, Airflow, QuickSight, DynamoDB, S3, and EventBridge
Strong grasp of data modelling, warehousing principles, and performance tuning
Familiarity with CI/CD pipelines and infrastructure as code
Highly proactive with excellent attention to data integrity, resilience, and cost-efficiency
Strong communication skills and collaborative mindset
Apply now to join a cutting-edge remote engineering team building the future of cloud data infrastructure.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.