Data Engineering Head

About the Job

Location: Makati City

Corporate Title: Senior Assistant Vice-President

Work Arrangement: Hybrid

Our Information Technology team is looking for experienced professionals to join us in Makati City with the role of Data Engineering Head.

In this role, you will lead the strategic development and innovation of scalable data platforms and engineering practices, ensuring robust infrastructure and analytics foundations that empower enterprise-wide data-driven decision-making.

Your dream. Our focus.

East West Banking Corporation (EastWest) is one of the largest universal banks in the Philippines, and is committed to continuously invest in people and in process, product, and service enhancements, and embrace new ideas to enhance the EastWest experience.

We empower our employees to drive their careers and are committed to provide the runway for them to grow. We value teamwork and individual initiative. Join us and be part of a highly engaged team, and a workplace that promotes development and goal attainment.

Whether you're just starting out, or already a seasoned professional, EastWest can help you unleash your potential, and bridge the gap between dream to success.

What the role will entail

• Lead the development and execution of enterprise-wide data engineering strategy aligned with business goals
• Build and optimize scalable data pipelines and architectures for structured and unstructured data
• Collaborate across data science, analytics, and business teams to deliver impactful data solutions
• Implement best practices for data reliability, governance, security, and operational excellence
• Guide tool and platform selection, driving modernization across cloud-based engineering stacks
• Mentor and manage high-performing teams while fostering a culture of innovation and continuous improvement

What we're looking for

• Bachelor's or Master's degree in Computer Science, Information Systems, or any related field
• Advanced expertise in building scalable data pipelines using tools such as Spark, Kafka, Airflow, and cloud platforms (AWS, Azure, GCP)
• Proficient in SQL, Python, and modern data architecture practices including data warehousing, lakehouse, ETL/ELT workflows
• Preferred experience with real-time analytics, ML pipelines, data mesh, CI/CD, and containerized environments (e.g., Docker, Kubernetes), plus relevant certifications
• Deep understanding of data governance, regulatory compliance, and performance optimization techniques
• Proven leadership in data engineering across complex, large-scale environments, with strong stakeholder and team management skills

What you can expect from joining our team

• Career development and training opportunities
• Competitive salary package and benefits
• Performance-based incentives and recognition programs to reward high-performing individuals
• Opportunity to work with industry experts and be mentored by them
• Defined career progression paths to guide you in your professional growth