Data Warehouse Engineer

IBM; Quezon City; On-site; PHP 600,000 - 900,000; Full time

Job summary

IBM Consulting is seeking a Data Engineer in Manila to design, develop and integrate data management systems for analytics. You will work with Teradata and Snowflake to drive scalable data solutions and ensure data quality across large data warehouses.

The role requires hands-on dbt work, strong SQL/ETL knowledge, and a proactive problem-solving mindset within a collaborative global team.

Qualifications

• Bachelor's Degree in IT/CS/Engineering or related field.
• Hands-on experience with dbt for data transformation and pipelines.
• Strong Snowflake expertise including data warehousing and modeling.
• Solid SQL and ETL/ELT knowledge and practical usage.
• Analytical, troubleshooting and problem-solving skills.

Responsibilities

• Design and develop data systems and components for data warehouse management.
• Integrate analytics solutions using Teradata and Snowflake to derive insights.
• Ensure efficient data management and scalable data integration.
• Develop reusable objects and software packages for data management.
• Troubleshoot data issues to maintain data accuracy and integrity.

Skills

dbt

Snowflake

SQL

ETL/ELT

Data modeling

Problem solving

Analytics

Education

Bachelor's Degree

Tools

Teradata

Snowflake

Job description

Introduction

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Introduction

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your Role And Responsibilities

As a Data Engineer specializing in Data Warehouses, you will design, develop, and integrate data management systems, leveraging tools like Teradata and Snowflake to drive analytics solutions. You will utilize your analytical and problem-solving skills to ensure the efficient management of large-scale data systems.

Your Primary Responsibilities Will Include

• Design and Develop Data Systems: Create complex application components and integrate software packages, programs, and reusable objects across various platforms to support data warehouse management.
• Integrate Analytics Solutions: Develop and implement analytics solutions using tools like Teradata and Snowflake to drive business insights and decision-making.
• Ensure Efficient Data Management: Apply strong analytical and problem-solving skills to optimize the performance of large-scale data systems and ensure seamless data integration.
• Develop Reusable Objects: Create reusable objects and software packages to support data management and analytics solutions across multiple platforms.
• Troubleshoot Data Issues: Identify and resolve data management issues to ensure the accuracy and integrity of data in the warehouse.

Preferred Education

Bachelor's Degree

Required Technical And Professional Expertise

• Bachelor's Degree in Information Technology, Computer Science, Engineering, or any related field.
• Hands-on experience with dbt (Data Build Tool) for data transformation, modeling, and pipeline development.
• Strong experience with Snowflake, including data warehousing, data modeling, and performance optimization.
• Knowledge of SQL and ETL/ELT processes is highly preferred.
• Strong analytical, troubleshooting, and problem-solving skills.