Head of Data Engineer

• Develop and oversee data governance frameworks ensuring accuracy and security.
• Collaborate with cross-functional teams to align data engineering efforts with business goals.
• Mentor and manage a team of data engineers to achieve high performance.
• Ensure seamless integration of data from multiple sources for analytics purposes.
• Drive innovation in data technologies and methodologies to stay ahead in the Technology & Telecoms space.
• Troubleshoot and resolve issues in data workflows and systems.
• Manage project timelines and deliverables in alignment with organizational objectives.

Part of the Leadership TeamContribute a Meaningful Impact to Filipinos

A successful Head of Data Engineering should have:

• Strong expertise in data engineering, analytics, and architecture.
• Proven leadership experience in managing and developing teams.
• Familiarity with cloud-based data platforms and modern data tools.
• The ability to communicate complex technical concepts to non-technical stakeholders.
• A degree in Computer Science, Data Science, or a related field.
• A proactive approach to solving problems and driving innovation.

Technology Stack:

• Python & SQL
• Data Transformation: dbt or a similar framework (e.g., SQLMesh).
• Big Data Processing: Apache Spark, Kafka, or equivalent frameworks.
• Orchestration: Airflow, Prefect, or Dagster.
• Open Table Formats: Strong preference for Delta Lake; experience with Iceberg or Hudi is advantageous
• Cloud Data Architecture: AWS, Azure, or GCP

• Opportunity to work in a global technology and innovation hub.
• Comprehensive benefits package to support personal and professional growth.
• Be part of a large organization committed to innovation in the Technology industry.
• Work on impactful projects that shape the future of data and analytics.