Data and Analytics Engineer

Build scalable data solutions for a growing medical technology provider with 30+ years of industry experience across Australia, New Zealand and Asia.

The Opportunity

As a Data and Analytics Engineer, you’ll take ownership of end-to-end data engineering within Microsoft Fabric, building and improving pipelines, lakehouse and warehouse solutions that support reporting and business decisions. You’ll work with modern technologies, collaborate with an experienced regional team, and have the autonomy to manage meaningful projects from data ingestion through to delivery.

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

“Working for the best client and loving what you do makes everything enjoyable at work.”- Senior Broker, ASW Philippines.

What You’ll Do

• Design, build and maintain end-to-end data solutions within Microsoft Fabric.
• Connect and ingest data from multiple source systems using SQL, Python, notebooks and dataflows.
• Develop, deploy and monitor ETL/ELT and data pipelines following medallion architecture.
• Maintain and optimise lakehouse, warehouse, queries and data models for performance, reliability and scalability.
• Prepare trusted, analytics-ready data views for the BI team; support semantic models where required.
• Manage Git integration, version control and CI/CD deployment pipelines.
• Troubleshoot data and pipeline issues, complete testing and maintain technical documentation.
• Manage Jira requests and follow data governance, security, access control and change-approval processes.

Key Criteria

• Bachelor’s degree in Computer Science, Data Science, Information Technology, Software Engineering, Business Analytics, or a related field.
• 3-5 years of hands-on data engineering experience.
• Strong experience with Microsoft Fabric, including Lakehouse, Warehouse, pipelines, notebooks and dataflows.
• Proficiency in SQL and Python for data ingestion, transformation and troubleshooting.
• Experience building and maintaining ETL/ELT pipelines using medallion architecture.
• Knowledge of Git, version control and CI/CD deployment pipelines.
• Understanding of data governance, security, access controls and change-management processes.
• Organised, proactive and collaborative, with the ability to work independently and manage competing priorities.
• Power BI, semantic modelling, DAX, PL-300 certification, or regulated-industry experience is a plus.

Work setup

• Manila (BGC, Taguig): 8:00 AM to 5:00 PM in Philippines time with a hybrid setup (1 day at office, 4 days from home).

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