Data Engineer

UL Solutions; Makati; On-site; PHP 600,000 - 900,000; Full time

Job summary

UL Solutions in Makati seeks a data engineer to design, develop, and maintain cloud-based data pipelines. You will transform raw data into analytics-ready datasets across multiple sources and build scalable ETL/ELT processes on modern platforms.

You will optimize SQL and Python components, implement data quality, governance, and CI/CD practices, and collaborate with business and engineering teams to deliver trusted data solutions.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Analytics, Mathematics, or related discipline.
• 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.
• Strong SQL expertise with query development, transformation logic, troubleshooting, optimization, and performance tuning.
• Proficiency in Python development for data engineering and analytics solutions.
• Experience building scalable ETL/ELT data pipelines on cloud data platforms such as Azure, Snowflake, SQL Server.
• Knowledge of dimensional data modeling (Kimball) and analytics-ready data products.
• Experience with Git-based version control, CI/CD pipelines, and Agile delivery practices.
• Understanding of data governance, lineage, privacy, and access control principles.

Responsibilities

• 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 UL Code of Conduct and all security practices.

Skills

SQL

Python

Cloud data platforms

Data modeling

Data governance

Git-based version control

CI/CD

Agile

Education

Bachelor’s degree in Computer Science / related field

Tools

Microsoft Azure

Snowflake

SQL Server

Job description

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.
  

Qualifications

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. 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.

As we’re supporting some of the most innovative companies in the world, high‑performing IT is vital. Deeply focused on technology innovation and practically applying new and emerging technologies to meet the evolving needs of our customers, we operate as strategic partners to the wider organization, developing and delivering best‑in‑class IT solutions. We also use our expertise day‑to‑day to offer our colleagues a seamless technology experience, providing them with the tools to help customers all over the world deliver safer, more sustainable solutions. Join our team and connect, support and empower colleagues across our global community.

Requirements: