Data Product Engineer-Business Enabling
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Employee
Job Description
Company: Union Bank of the Philippines
Position: Data Products Engineer
Abou t the Role:
The Data Engineer 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.
What You'll Do:
- Design and implement scalable andreusable data pipelines to ingest, process, and store large volumes ofdata from multiple sources.
- Optimize and maintain existing data infrastructure,ensuring performance, reliability, and scalability.
- Model data products that are efficient, reusable, andaligned with business needs.
- Develop and maintain documentation related to dataarchitecture, metadata, and data processing workflows.
- Stay up to date with emerging technologies and trendsto improve the team’s data engineering capabilities.
- Collaborate with cross-functional teams to supportdata-driven initiatives and participate in design discussions.
- Initiate and lead continuous improvement programswithin the data engineering domain.
- Provide L3 production support for data domains,including incident management (for issues beyond L1 and L2), problemmanagement, root cause analysis, and operationalization.
- Participate in proof of concept (POC) projects andevaluate emerging tools or frameworks.
- For senior-level engineers: review code, enforce bestpractices, and mentor junior team members.
What We're Looking For:
- 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.
- 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.
- Hands‑on experience with ETL/ELT tools and pipeline frameworks (e.g., Apache Airflow, DBT , Gitlab ).
- Knowledge of modern data warehousing solutions (e.g., Snowflake, Redshift).
Job Snapshot
Updated Date
26-Oct-2026
Job ID
JOB_1046
Sub-department
Data Products Engineering
Location
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