Senior Data Quality Engineer AU Retail Hybrid

Schedule: Monday to Friday (7am to 4pm PHT)

Work Setup: Hybrid

Position Summary

• We are seeking a senior-level Data Quality Engineer to lead and mature data quality practices across our analytics and data platform. This role is focused on data quality governance, oversight, and assurance, rather than hands-on data engineering or testing.
• The successful candidate will act as a data quality leader and advisor, responsible for identifying data quality issues, defining and enforcing best practices, and influencing data engineers and stakeholders to embed data quality into everyday data workflows. You will play a critical role in improving trust, reliability, and consistency of data used across the organization.
• This is an ideal role for someone who is passionate about data quality, standards, and governance, enjoys working cross-functionally, and can bring structure and best practices into a growing data environment.
  
  

• Senior-level background (4+ years) in data quality, data governance, or data assurance, with experience influencing teams rather than executing hands-on engineering work
• Leadership and change-driving capability, guiding data engineers and analytics teams to improve data quality outcomes
• Strong command of data quality principles, including accuracy, completeness, consistency, timeliness, and validity, with the ability to identify and prioritize issues
• Proven experience defining and enforcing data quality standards and best practices, operating at a governance and oversight level
• Familiarity with modern data platforms (e.g., dbt, Snowflake or similar) and a proactive, collaborative, improvement-oriented mindset
  
  

• Prior experience acting as a data quality lead or governance representative
• Previous hands-on experience with daily data engineering or testing
• Exposure to scaling data quality practices in complex or growing data environments
• Experience working in collaborative, agile, or cross-functional teams
• Strong communication skills with the ability to clearly articulate data quality risks and recommendations
  
  

• Act as the owner and champion of data quality standards across the organization
• Identify recurring and systemic data quality issues, and work with engineering teams to address root causes
• Define and promote data quality best practices, guidelines, and governance frameworks
• Influence and guide data engineers and analytics teams to embed quality checks and standards into their workflows
• Partner with stakeholders to set expectations around data quality, reliability, and accountability
• Provide oversight and assurance across data pipelines and transformations rather than executing engineering tasks
• Support the development and refinement of data quality metrics, monitoring, and reporting
• Maintain and evolve documentation related to data quality standards, processes, and responsibilities
• Continuously assess opportunities to improve data quality maturity across the platform
  
  

• Hybrid Work Arrangement (3x onsite)
• Medical, Dental Coverage and Life insurance from day 1 of employment
• Paid Vacation and Sick Leave (with Quarterly Sick Leave Conversion)
• Competitive salary package and annual appraisal
• Financial Assistance Program
• Mandatory Government Benefits and 13th Month Pay
• Complimentary Sleeping Quarters, Coffee at no cost
• Complimentary Office Fitness and Wellness Facilities at no cost
• Regular Company Events, Work Life Balance, and Career growth opportunities
• Accessible location at the heart of Metro Manila --- the Mega Tower, EDSA