Job Description

Job Title: Data Engineer
Location: Remote (Kenya, South Africa, Philippines)
Type: Full-Time, Permanent
Salary: 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
Responsibilities:
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
Requirements:
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.