DATA QUALITY ENGINEER

Metrobank; Taguig; On-site; PHP 400,000 - 700,000; Full time

Job summary

Metrobank is seeking a Data Quality Engineer to develop, implement, and maintain data quality controls across enterprise data. You will operationalize governance standards, metrics, and validation processes to ensure accuracy, completeness, and regulatory compliance.

The role emphasizes collaboration with data owners, stewards, and technology teams, plus continuous improvement of data quality and governance practices within the bank.

Qualifications

• Bachelor’s degree in Data Science, Information Systems, Statistics, Mathematics, Engineering, Business, Economics, or related field
• Master’s degree and/or Data Governance certification preferred
• At least 3 years of experience in data management, data quality, analytics, business intelligence, or related fields
• Experience in banking, financial services, or regulated industries is an advantage
• Knowledge of data quality management, data governance frameworks, and data lifecycle concepts (e.g., DMBOK)
• Proficient in SQL, data analysis, profiling, validation, reconciliation, and root cause analysis
• Familiarity with metadata management, data lineage, and master data management
• Understanding of data-related regulatory and risk management requirements
• Strong analytical, problem-solving, and attention-to-detail skills
• Excellent communication, presentation, stakeholder management, and collaboration skills
• Ability to translate technical findings for both technical and non-technical audiences
• High integrity, professionalism, and commitment to ethical data management
• Strong focus on continuous improvement and operational excellence

Responsibilities

• Operationalization of the Bank's enterprise data quality management framework, standards, methodologies, and procedures that ensure consistent execution of data quality management practices across the Bank
• Delivery and maintenance of data governance metrics, and KPIs that provide visibility on the adherence to data governance policies, control standards and processes
• Implementation and maintenance of data quality controls, validation rules, and monitoring mechanisms across critical data assets that ensure data accuracy, completeness, consistency, timeliness, validity, and integrity
• Delivery and maintenance of data quality rules, metrics, dashboards, scorecards, and KPIs that provide visibility into data quality performance and support management decision-making
• Establishment, assessment, monitoring, and reporting of data quality requirements for Critical Data Elements and other key business data that support business objectives, and regulatory compliance
• Timely resolution and remediation of data quality issues by driving accountable units to identify, assess, prioritize, and address data defects through structured tracking, monitoring, and cross-functional coordination, thereby minimizing business, operational, and regulatory impacts.
• Prevention of recurring issues and continuous improvement in data quality outcomes through driving accountable units to identify root causes, implement and sustain corrective and preventive actions, and strengthen data quality controls and processes.
• Adherence and accountability to data governance policies and effective data quality practices throughout the enterprise data lifecycle through collaboration with Data Owners, Data Stewards, Data Custodians, business units, and technology teams.
• Provide guidance and subject matter expertise on data quality requirements and controls.

Skills

Analytical thinking

Problem solving

Attention to detail

Communication skills

Stakeholder management

Translating technical findings

Team collaboration

Integrity & professionalism

Continuous improvement

Experience in data management

Education

Bachelor’s degree in Data Science, Information Systems, Statistics, Mathematics, Engineering, Economics, or related field

Master’s degree and/or Data Governance certification

Tools

SQL

Data governance frameworks (e.g., DMBOK)

Data lineage

Master data management

Data profiling

Data reconciliation

Job description

Here at Metrobank, we don't simply hire employees—we hone future leaders. We provide opportunities that enhance your skills and unlock your talents, helping you evolve into a well-rounded individual. We supply you with all the pieces you need to do your best work, unleashing your full potential to help you secure your future and lead a fulfilling career. And with Metrobank's strong heart for the community, you have the chance to give back and make worthwhile contributions to our nation's economic and social development.

With Metrobank, a meaningful life is within your reach!

Position Title: Data Quality Engineer

Job Summary:

The Data Quality Engineer is responsible for developing, implementing, and maintaining the Bank's data quality controls, monitoring capabilities, and remediation processes to ensure that enterprise data remains accurate, complete, consistent, timely, and fit for business and regulatory use. The Data Quality Engineer supports the Bank's data governance strategy by operationalizing the data quality frameworks, rules, metrics, and validation processes.

Role Exposure:

Data Quality Governance and Compliance:

• Operationalization of the Bank's enterprise data quality management framework, standards, methodologies, and procedures that ensure consistent execution of data quality management practices across the Bank
• Delivery and maintenance of data governance metrics, and key performance indicators (KPIs) that provide visibility on the adherence to data governance policies, control standards and processes

Data Quality Controls, Monitoring and Reporting:

• Implementation and maintenance of data quality controls, validation rules, and monitoring mechanisms across critical data assets that ensure data accuracy, completeness, consistency, timeliness, validity, and integrity
• Delivery and maintenance of data quality rules, metrics, dashboards, scorecards, and key performance indicators (KPIs) that provide visibility into data quality performance and support management decision-making

Critical Data Element (CDE) Quality Management:

• Establishment, assessment, monitoring, and reporting of data quality requirements for Critical Data Elements and other key business data that support business objectives, and regulatory compliance

Data Quality Issue Management, Remediation, and Continuous Improvement:

• Timely resolution and remediation of data quality issues by driving accountable units to identify, assess, prioritize, and address data defects through structured tracking, monitoring, and cross-functional coordination, thereby minimizing business, operational, and regulatory impacts.
• Prevention of recurring issues and continuous improvement in data quality outcomes through driving accountable units to identify root causes, implement and sustain corrective and preventive actions, and strengthen data quality controls and processes.

Stakeholder Engagement and Support

• Adherence and accountability to data governance policies and effective data quality practices throughout the enterprise data lifecycle through collaboration with Data Owners, Data Stewards, Data Custodians, business units, and technology teams.
• Provide guidance and subject matter expertise on data quality requirements and controls.

Qualifications:

• Bachelor’s degree in Data Science, Information Systems, Statistics, Mathematics, Engineering, Business, Economics, or related field
• Master’s degree and/or Data Governance certification preferred
• At least 3 years of experience in data management, data quality, analytics, business intelligence, or related fields
• Experience in banking, financial services, or regulated industries is an advantage
• Knowledge of data quality management, data governance frameworks, and data lifecycle concepts (e.g., DMBOK)
• Proficient in SQL, data analysis, profiling, validation, reconciliation, and root cause analysis
• Familiarity with metadata management, data lineage, and master data management
• Understanding of data-related regulatory and risk management requirements
• Strong analytical, problem-solving, and attention-to-detail skills
• Excellent communication, presentation, stakeholder management, and collaboration skills
• Ability to translate technical findings for both technical and non-technical audiences
• High integrity, professionalism, and commitment to ethical data management
• Strong focus on continuous improvement and operational excellence