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

Staff Testimonial
I easily get along with my team which makes it easier for me to work with them. - Senior Full Stack Developer, ASW Philippines.
What You'll Do

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.

Key Criteria

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.

Work setup:

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.

Data Warehouse Engineer

Data Platform Engineer-Snowflake Data Warehouse