Data & Integration Team Lead

cambridge university press & assessment; Philippines; On-site; PHP 1,160,640 - 1,584,720; Full time

Benefits offered by this job

HMO Coverage and Life Insurance on Day 1

Paid Annual Leaves

Flexible schedule and work-life balance

Job summary

Cambridge University Press & Assessment is seeking a Data & Integration Team Lead in Makati City. This role involves leading the design and execution of data integration solutions and providing technical leadership for a hybrid work environment.

The ideal candidate will have over 5 years of experience in data engineering and strong leadership skills, with a commitment to fostering an environment of continuous learning and technical excellence.

Benefits include HMO coverage, flexible workload, and career growth opportunities.

Qualifications

• 5+ years’ experience in data integration, data engineering, or BI development.
• Proven track record in designing and implementing high-quality data product solutions.
• Hands-on experience with requirements elicitation, analysis, and solution design.

Responsibilities

• Lead design, development, and support of scalable data products and integration solutions.
• Provide technical leadership and define architecture for data and integration platforms.
• Build and lead high-performing teams by mentoring colleagues and fostering continuous learning.

Skills

Data integration

Technical leadership

Problem-solving

Communication skills

AWS Services

Education

University degree in Computer Science or related field

Tools

MuleSoft Anypoint Platform

Power BI

Spark

Job description

Data & Integration Team Lead

Work setup: We operate in a hybrid work environment, encouraging applicants who are open to working in the office two days a week to apply.

Work schedule: Monday to Friday, 10AM to 6PM Manila time.

Employment type: Permanent.

Location: Makati City, Metro Manila.

Pay range: Php 104,000 to 142,000.

Responsibilities

• Technical & Platform Delivery – Lead the design, development, delivery, and support of scalable, reliable, and reusable data products, APIs, and integration solutions that ensure high-quality, secure, and well-governed data across platforms.
• Technical Leadership – Provide technical leadership by defining architecture, standards, and best practices for data, integration, and cloud platforms while driving innovation and communicating complex technical concepts effectively.
• People & Practice Management – Build, lead, and develop high-performing teams by mentoring colleagues, fostering continuous learning, and promoting engineering excellence aligned with our values and leadership standards.
• Stakeholder Engagement & Business Partnership – Partner with business and technology stakeholders to translate strategic needs into valuable data and integration solutions, while driving adoption through collaboration, enablement, and continuous feedback.
• Risk & Compliance – Ensure data and integration solutions comply with security, privacy, governance, and regulatory requirements while proactively managing risks to data quality, platform reliability, and third‑party integrations.

Qualifications

Essential

• University degree in Computer Science, Numerical or Technical subject, or other degrees combined with significant technical experience.
• At least 5 years’ experience in data integration, data engineering, or BI development.
• Proven technical leadership and track record of designing and implementing high-quality data product solutions.
• Hands‑on experience with requirements elicitation, analysis, documentation and solution design.
• Practical experience with AWS Services.
• Excellent problem‑solving skills and the ability to work autonomously.
• Strong communication skills, with the ability to explain complex technical concepts to both technical and non‑technical audiences.

Desirable

• Solid understanding of relational and non‑relational databases.
• Hands‑on experience with MuleSoft Anypoint Platform (Mule 4).
• Understanding of integration technologies, APIs, and microservice design patterns.
• Proficiency in scripting or programming languages such as JavaScript, Java/Scala, or Python, and strong SQL capability.
• Knowledge of data modeling, data quality, and scalable data engineering principles.
• Experience with modern data engineering tools, platforms or technologies (e.g., Spark, Airflow, NiFi, Hadoop, Hive, ADF, dbt, Kafka, Fivetran).
• Familiarity with data visualization and BI tools (e.g., Power BI, Qlik).
• Familiarity with CI/CD pipelines and automated deployments.
• Experience with agile delivery practices.
• Awareness of data protection, secure access, and compliance standards.
• MuleSoft certifications (MCD1, MCD2, MCIA, MCPA), Cloud certifications (AWS, Azure), or any BI Platform Certifications are an advantage.

Benefits

• Regular Employment on Day 1
• HMO Coverage and Life Insurance on Day 1
• Paid Annual Leaves (Vacation, Well‑being, Flexible, Holiday, and Volunteering leaves)
• Vesting/Retirement package
• Opportunities for career growth and development
• Access to well‑being programs
• Flexible schedule, hybrid work arrangement and work‑life balance
• Opportunity to collaborate with colleagues from diverse branches that will expand your horizons and enrich your understanding of different cultures

Selection Process

As part of the selection process, candidates will undergo a technical interview and may be asked to complete a take‑home coding exam, which will be shared via email.