Data Engineer Team Lead

UnionBank; Pasig; On-site; PHP 1,000,000 - 2,000,000; Full time

Job summary

Union Bank of the Philippines is seeking a Data Engineer Team Lead to design, develop, and maintain scalable data pipelines. You will collaborate with the Data Product Managers and Data Architect to ensure high data availability for analytics and operations.

The role requires hands-on experience with ETL/ELT pipelines, Airflow, DBT, and modern data warehousing solutions like Snowflake or Redshift. You will mentor junior engineers and lead continuous improvement initiatives within the data

Qualifications

• Bachelor’s degree in Computer Science, IT, or related field.
• 3+ years of data engineering experience.
• Proficiency in SQL and relational databases.
• Strong Python programming skills.
• Analytical and logical problem-solving abilities.
• Hands-on ETL/ELT experience with Airflow and DBT.
• Knowledge of Snowflake or Redshift.

Responsibilities

• Design scalable data pipelines to ingest, process, and store large data volumes from multiple sources.
• Optimize and maintain data infrastructure for performance and reliability.
• Model data products aligned with business needs.
• Document data architecture, metadata, and workflows.
• Stay updated with emerging data engineering technologies and trends.
• Collaborate with cross-functional teams on data-driven initiatives.

Skills

SQL

Python

Analytical thinking

Problem solving

CI/CD

Education

Bachelor’s degree in Computer Science / IT or related field

Tools

Airflow

DBT

Git

Snowflake

Redshift

Job description

Company

Union Bank of the Philippines

Position

Data Engineer Team Lead

Office Location

UB Plaza - 21F Pasig (Headquarters)

Job Summary

The Data Engineer Lead will play a critical role in designing, developing, and maintaining robust data pipelines. This role collaborates closely with Data Product Managers and the Data Architect to ensure high data availability and quality for analytics, reporting, operations, and strategic decision‑making.

Duties And Responsibilities

• Design and implement scalable and reusable data pipelines to ingest, process, and store large volumes of data from multiple sources.
• Optimize and maintain existing data infrastructure, ensuring performance, reliability, and scalability.
• Model data products that are efficient, reusable, and aligned with business needs.
• Develop and maintain documentation related to data architecture, metadata, and data processing workflows.
• Stay up to date with emerging technologies and trends to improve the team’s data engineering capabilities.
• Collaborate with cross-functional teams to support data-driven initiatives and participate in design discussions.
• Initiate and lead continuous improvement programs within the data engineering domain.
• Provide L3 production support for data domains, including incident management (for issues beyond L1 and L2), problem management, root cause analysis, and operationalization.
• Participate in proof of concept (POC) projects and evaluate emerging tools or frameworks.
• For senior‑level engineers: review code, enforce best practices, and mentor junior team members.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 3+ years of experience in data engineering or a related role.
• Proficiency in SQL and experience with relational databases.
• Strong programming skills in Python.
• Strong analytical and logical problem‑solving skills.
• Hands‑on experience with ETL/ELT tools and pipeline frameworks (e.g., Apache Airflow, DBT).
• Knowledge of modern data warehousing solutions (e.g., Snowflake, Redshift).

Required Skills

• Experience with CI/CD pipelines and modern data orchestration tools.
• Familiarity with cloud‑based data platforms and optimization of ELT data flows.
• Experience working with Snowflake, DBT, and version control systems like Git.