Qodea

Senior Data Engineer

🇵🇭 Taguig, Philippines Hybrid Full time Posted Jun 8, 2026
Workplace Hybrid
Employment Full time
Language English
Posted June 8, 2026
Last verified June 11, 2026
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Role summary by JobGrid

Senior Data Engineer at Qodea: Taguig, Philippines; Hybrid; Full time. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.

  • Location and workplace: Taguig, Philippines, Hybrid
  • Role classification: Full time
  • Source freshness: checked by JobGrid on 2026-06-11.
  • Application path: candidates continue to the employer application page with non-personal referral tags.

About The Role

  • Responsible for creating and maintaining the knowledge materials for the scope of the team, regarding delivery on MSP customers.
  • Act as a trusted advisor to customers, developing a deep understanding of their technical challenges and leveraging GCP technologies, patterns and practices to address them effectively.
  • Work closely with the delivery teams, Google, and customer engineering teams to:
    • Understand and use repeatable and consistent technology stacks across our customer projects.
    • Help document and implement managed service processes that are aligned with a project's technology stack, and customer requirements.
    • Follow & improve if applicable the best practices, processes and procedures relevant to  the team’s activity.
  • Ability and willingness to upskill and mentor colleagues, in order to ensure  a smooth delivery  across teams.
  • Possibility to represent Qodea in the relationship with Google or customers. Availability for potential customer visits based on the needs. 
  • Handle customer escalations and facilitate any patches or fixes as needed to resolve any issues relating to their data platform.
  • Investigate issues in and maintain data models to support analytics and reporting
  • Monitor and maintain data infrastructure to ensure availability, correctness and performance
  • Perform regular checks to ensure data pipelines and ML models are working correctly.
  • You’ll collaborate with the customer on a quarterly basis to ensure all requirements continue to be met.
  • Scope and plan implementation of any customer changes/requirements
  • Maintain automated data pipelines to support data ingestion, ETL, and storage