Data Engineer

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

• Profile, analyze, and validate source data to understand structure, quality, business meaning, and transformation requirements.

• Design, develop, test, and maintain data pipelines that ingest, transform, and deliver data from internal and external sources.

• Build scalable ETL/ELT solutions across cloud data platforms, data warehouses, lakehouse patterns, and data integration tools.

• Develop and optimize SQL, stored procedures, scripts, and reusable data engineering components.

• Implement data quality checks, reconciliation controls, error handling, logging, lineage capture, and pipeline monitoring.

• Apply automated testing, version control, code review, continuous integration, and deployment practices.

• Monitor pipeline execution, investigate failures, resolve data issues, and support root cause analysis.

• Collaborate with business users, data owners, data stewards, architects, security teams, and platform engineers.

• Document technical designs, mappings, transformation logic, operational procedures, dependencies, and support information.

• Read and follow the Underwriters Laboratories Code of Conduct and all physical and digital security practices.

Education & Experience

• Bachelor's degree in Computer Science, Information Systems, Engineering, Data Analytics, Mathematics, or a related discipline, or equivalent combination of education and experience.

• 3+ years of experience designing, developing, testing, and supporting data pipelines, ETL/ELT processes, integrations, or analytics data solutions, preferably within a modern cloud-based data lakehouse environment.

Technical Skills

• Strong SQL expertise, including query development, transformation logic, troubleshooting, optimization, and performance tuning.

• Proficiency in Python development for data engineering and analytics solutions.

• Experience building and maintaining scalable ETL/ELT data pipelines on modern data platforms.

• Hands-on experience with cloud data technologies and platforms such as Microsoft Azure, Snowflake, SQL Server, or similar solutions.

• Solid understanding of dimensional data modeling methodologies (Kimball), curated datasets, semantic layers, and analytics-ready data products.

• Knowledge of data profiling, data quality, validation, and management of structured, semi-structured, and unstructured data.

• Experience utilizing Git-based version control, code reviews, automated testing, CI/CD pipelines, and Agile delivery practices.

• Understanding of secure data handling, governance, lineage, privacy, and access control principles.

Professional Skills

• Strong analytical thinking, problem-solving, and root-cause analysis capabilities.

• Ability to collaborate effectively with both business stakeholders and technical teams.

• Excellent communication skills, with the ability to translate technical concepts into business value.

• Inquisitive mindset, strong attention to detail, and commitment to delivering high-quality solutions.

• Continuous learning mindset with a willingness to adopt new technologies, tools, and best practices.

A global leader in applied safety science, UL Solutions (NYSE: ULS) transforms safety, security and sustainability challenges into opportunities for customers in more than 110 countries. UL Solutions delivers testing, inspection and certification services, together with software products and advisory offerings, that support our customers’ product innovation and business growth. The UL Mark serves as a recognized symbol of trust in our customers' products and reflects an unwavering commitment to advancing our safety mission. We help our customers innovate, launch new products and services, navigate global markets and complex supply chains, and grow sustainably and responsibly into the future. Our science is your advantage.

UL LLC has been and will continue to be an equal opportunity employer. To assure full implementation of this equal employment policy, we will take steps to assure that:

Persons are recruited, hired, assigned and promoted without regard to race, color, age, sex or gender, sexual orientation, gender identity, gender expression, transgender status, religion, creed, national origin, ethnicity, citizenship, ancestry, disability, genetic information, military or veteran status, pregnancy, marital or familial status, or any other protected category under applicable law.