Data Engineer - Cloud ETL & Lakehouse

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

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.