Senior Data Engineer: Lead Data Pipelines & Governance

Cambridge University Press & Assessment; Manila; Hybrid; PHP 1,161,000 - 1,585,000; Full time

Benefits offered by this job

HMO Coverage

Life Insurance

Paid Annual Leaves

Vesting/Retirement package

Career growth opportunities

Well-being programs

Flexible schedule and hybrid work

Cultural diversity collaboration

Job summary

Cambridge University Press & Assessment in Manila is seeking a Senior Data Engineer to lead the design, integration and governance of data solutions supporting Education Technology products and business operations. This role operates in a hybrid setup with two days in the Makati office, aligning with UK hours and a 3 PM–11 PM Manila time schedule.

You will design scalable data pipelines, define standards, and mentor teams while ensuring data quality, privacy and enterprise governance across the

Qualifications

• Significant experience in data engineering and data integration for enterprise-scale solutions.

Responsibilities

• Design, develop and maintain scalable data pipelines, integrations, data models and analytical data services.
• Define data engineering standards, architecture patterns, integration approaches and best practices across the data domain.
• Provide technical leadership, mentoring and design guidance to Data Analysts, Data Engineers and project teams.
• Lead investigations and proof-of-concepts for complex data engineering, integration and platform issues.
• Ensure solutions support data quality, lineage, privacy, security, governance and enterprise architecture expectations.

Skills

Advanced SQL

Data modeling

ETL/ELT

Integration platforms

Cloud data platform

APIs

Event-driven architecture

Stakeholder management

Tools

Azure data services

AWS data services

Dataverse

Power Platform

Job description

Cambridge University Press & Assessment in Manila is seeking a Senior Data Engineer to lead the design, integration and governance of data solutions supporting Education Technology products and business operations. This role operates in a hybrid setup with two days in the Makati office, aligning with UK hours and a 3 PM–11 PM Manila time schedule.

You will design scalable data pipelines, define standards, and mentor teams while ensuring data quality, privacy and enterprise governance across the