Data Engineer: Cloud ETL Pipelines & Data Quality

UL, LLC; Makati; Hybrid; PHP 900,000 - 1,500,000; Full time

Job summary

UL Solutions, a global leader in safety science, seeks a data engineer to profile, design, and maintain data pipelines across cloud platforms. You will develop scalable ETL/ELT processes, optimize SQL and Python workflows, and implement data quality, lineage, and governance practices.

You will collaborate with data owners, architects, and security teams to deliver analytics-ready data products and documentation, ensuring reliable data delivery and compliance across the organization.

Qualifications

• Bachelor's degree or equivalent in a related field.
• 3+ years designing, developing, testing, and supporting data pipelines or analytics data solutions in a cloud lakehouse environment.

Responsibilities

• Profile, analyze, and validate source data to understand structure and quality.
• Design, develop, test, and maintain data pipelines ingesting data from multiple sources.
• Build scalable ETL/ELT solutions across cloud data platforms and data warehouses.
• Develop and optimize SQL, stored procedures, and reusable data engineering components.
• Implement data quality checks, lineage capture, and pipeline monitoring.
• Apply automated testing, version control, CI/CD, and Agile practices.
• Monitor pipeline execution, resolve data issues, and support root cause analysis.
• Collaborate with data owners, architects, security teams, and platform engineers.
• Document technical designs, mappings, and operational procedures.

Skills

SQL expertise

Python for data

ETL/ELT pipelines

Cloud data platforms

Dimensional modeling

Data profiling & quality

CI/CD & testing

Git version control

Agile delivery

Security & governance

Education

Bachelor's degree in CS/IS/Engineering/Data Analytics

Tools

Snowflake

Azure

SQL Server

Job description

UL Solutions, a global leader in safety science, seeks a data engineer to profile, design, and maintain data pipelines across cloud platforms. You will develop scalable ETL/ELT processes, optimize SQL and Python workflows, and implement data quality, lineage, and governance practices.

You will collaborate with data owners, architects, and security teams to deliver analytics-ready data products and documentation, ensuring reliable data delivery and compliance across the organization.