Data Warehouse Engineer

AS White Global; Philippines; On-site; PHP 900,000 - 1,200,000; Full time

Benefits offered by this job

Great Place to Work certified

Global company trips

Competitive compensation

Comprehensive medical care for you and

Generous paid leave

LinkedIn Learning

Flexible work setup

Job summary

AS White Global is seeking a data engineer to design, develop, and optimize large‑scale data warehouse solutions powering analytics for a growing telecommunications technology provider. You’ll build scalable ETL/ELT pipelines in AWS, leveraging Redshift, Glue, Athena and S3, and orchestrate workflows with Airflow in an agile environment.

This role requires 3+ years in cloud data engineering, strong SQL and Python, data modelling, and stakeholder collaboration.

Qualifications

• 3+ years of experience building and maintaining large-scale ETL/ELT data pipelines in cloud environments.
• Strong SQL and Python skills with data modelling expertise.
• Experience with AWS data services and modern data warehousing best practices.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines for large datasets.
• Build and optimize data warehouse solutions using AWS Redshift, Glue, Athena, and S3.
• Develop data transformation logic and orchestration with Python and Airflow.
• Contribute to architecture decisions for data platforms and cloud infrastructure.
• Implement CI/CD pipelines and automated data quality testing.
• Support dimensional modelling, schema design, and query performance.
• Collaborate with stakeholders to deliver fit-for-purpose reporting and warehousing.
• Participate in code reviews and knowledge sharing within the team.

Skills

ETL/ELT pipelines

SQL

Python

Data modelling

Education

Bachelor’s degree in IT/CS

Tools

Airflow

Terraform

CI/CD tooling

Kafka

Redshift

Glue

Athena

S3

Job description

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

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.