Data Warehouse Engineer

Power the future of global communications through scalable cloud data platforms supporting a fast-growing telecommunications technology provider.
The Opportunity
Your expertise in data engineering and cloud technologies will play a key role in designing, developing, and optimizing large-scale data warehouse solutions that power critical business reporting and analytics. You’ll work on high-volume ETL/ELT pipelines and scalable AWS architectures, while collaborating with other engineers in an agile environment.
Why join us?

• Proudly Great Place to Work® certified
• Celebrate globally: Company trips (2025: Hong Kong, 2024: Thailand), Culture Champs, Year-end parties, leadership awards & more
• Grow with stability: 100+ in our 10-Year Club by 2025
• Dynamic talent network: 2,000+ across APAC and beyond
• Competitive compensation with annual reviews
• Comprehensive medical care for you and your family
• Generous paid leave because work-life balance matters
• Level up with LinkedIn Learning and tailored training
• Flexible work setup
  

• Design, develop, and maintain scalable ETL/ELT pipelines capable of processing large-scale datasets across cloud-based environments.
• Build and optimize data warehouse solutions using AWS technologies including Redshift, Glue, Athena, and S3.
• Develop data transformation logic and pipeline orchestration processes using Python and workflow management tools such as Airflow.
• Contribute to technical architecture decisions for data platforms, pipeline design, and cloud infrastructure.
• Implement CI/CD pipelines and automated testing processes for data quality validation, schema management, and deployment activities.
• Support dimensional data modelling, schema optimization, and query performance tuning for analytical workloads.
• Collaborate with stakeholders to gather requirements and deliver fit-for-purpose reporting and data warehousing solutions.
• Participate in code reviews, technical discussions, and knowledge-sharing initiatives within the engineering team.
  

• Bachelor’s degree in Information Technology, Computer Science, or a related field.
• At least 3+ years’ experience building and maintaining large-scale ETL/ELT data pipelines within cloud-based environments is a must.
• Strong hands-on experience with SQL, Python, Redshift, AWS data services (Glue, Athena, S3), and data lake architectures.
• Experience with workflow orchestration tools such as Airflow, including CI/CD implementation and automated testing for data pipelines.
• Strong understanding of data modelling, schema design, analytics optimization, and cloud data engineering best practices.
• Exposure to Kafka, streaming pipelines, Terraform, Infrastructure as Code, and DevOps or agile delivery environments is highly regarded.
• Excellent communication and stakeholder management skills with the ability to collaborate across technical and non-technical teams.
• Amenable to work on after-hours support on a fortnightly basis.
  

• Manila (BGC, Taguig): Australian hours (6:30 am – 3:30 pm PHT) with a hybrid set up of at least once a week onsite. After-hours support every fortnight.