Data Engineer For Pooling

UnionBank; Pasig; On-site; PHP 700,000 - 1,100,000; Full time

Job summary

UnionBank is seeking a Data Engineer to design, develop, and maintain scalable data pipelines and platforms supporting BI, analytics, and regulatory reporting. You will collaborate with data analysts, scientists, and technology teams to ensure data quality, security, and availability for digital banking initiatives.

Responsibilities include building data architectures, integrating data sources, and upholding governance and risk standards while contributing to cloud migration and automation

Qualifications

• Design, develop, and maintain enterprise data pipelines and ETL/ELT processes.
• Build data warehouses, data lakes, and data marts to support reporting and analytics.
• Integrate data from core banking systems, digital channels, third-party applications, and external data sources.
• Monitor data quality, accuracy, completeness, and consistency across platforms.
• Develop and maintain data models, metadata, and documentation for governance.
• Collaborate with business users, data analysts, and project teams to translate data requirements into solutions.
• Implement data security, privacy, and access controls per internal policies and regulatory requirements.
• Troubleshoot and resolve data pipeline, integration, and performance issues.
• Support regulatory, operational, risk, finance, and management reporting with reliable data solutions.
• Identify opportunities for automation and cloud migration within the data ecosystem.

Responsibilities

• Design, develop, and maintain enterprise data pipelines and ETL/ELT processes.
• Build and optimize data architectures, warehouses, lakes, and marts for reporting needs.
• Integrate data from core banking systems, digital channels, and external sources.
• Monitor data quality, accuracy, and governance across platforms.
• Translate data requirements into scalable technical solutions with stakeholders.
• Implement data security and privacy controls in line with policy and regulatory requirements.
• Troubleshoot data pipeline and performance issues to ensure reliability.
• Contribute to data platform upgrades and cloud migration initiatives.

Skills

SQL

ETL/ELT

Data Warehousing

Spark

Hadoop

Data Modeling

Stakeholder Management

Education

Bachelor's degree in Computer Science, IT, Computer Engineering, Data Science, or related field

Tools

Azure

AWS

GCP

Hadoop

Spark

Job description

Job Description:

Position Title: Data Engineer

Location: UnionBank Plaza, Ortigas, Pasig City

About The Role

The Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines and data platforms that support business intelligence, analytics, regulatory reporting, and digital banking initiatives. This role plays a critical part in ensuring the availability, quality, security, and reliability of enterprise data across the organization. Working closely with business stakeholders, data analysts, data scientists, and technology teams, the Data Engineer enables data-driven decision-making while adhering to banking industry standards, governance requirements, and risk management frameworks. The role is typically part of the Data & Analytics, Technology, or Digital Transformation function within a bank.

What You'll Do

• Design, develop, and maintain enterprise data pipelines, ETL/ELT processes, and data integration solutions.
• Build and optimize data architectures, data warehouses, data lakes, and data marts to support reporting and analytics requirements.
• Integrate data from core banking systems, digital channels, third-party applications, and external data sources.
• Monitor data quality, accuracy, completeness, and consistency across multiple platforms.
• Develop and maintain data models, metadata, and documentation to support enterprise data governance initiatives.
• Collaborate with business users, data analysts, and project teams to gather and translate data requirements into technical solutions.
• Implement data security, privacy, and access controls in accordance with internal policies and regulatory requirements.
• Troubleshoot and resolve data pipeline, integration, and performance issues.
• Support regulatory, operational, risk, finance, and management reporting requirements through reliable data solutions.
• Identify opportunities for process automation and continuous improvement within the data ecosystem.
• Participate in data platform upgrades, cloud migration initiatives, and digital transformation programs.
• Ensure compliance with banking data governance, information security, and risk management standards.

What We're Looking For

• Bachelor's degree in Computer Science, Information Technology, Computer Engineering, Data Science, or a related field.
• Experience in data engineering, data integration, database development, or related data management roles is an advantage.
• Proficiency in SQL and experience with ETL/ELT tools, data warehousing technologies, and modern data platforms (e.g., Azure, AWS, GCP, Hadoop, Spark, or similar).
• Experience working with relational and non-relational databases, data modeling, and large-scale data processing.
• Strong analytical, problem-solving, and stakeholder management skills with the ability to work in a cross-functional environment.
• Familiarity with banking, financial services, data governance, BSP regulatory reporting considerations, data privacy requirements, and information security practices is an advantage.

Requirements: