Senior Data Platform Engineer

NTT Philippines Solutions Inc.; Mandaluyong; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

NTT DATA Philippines Solutions Inc. is seeking an experienced Data Engineer to build and maintain scalable cloud data platforms that empower enterprise insights.

You will design data pipelines, data lakes, and data warehouses on Azure, collaborating with stakeholders to deliver secure and high-quality solutions. The role emphasizes modern Azure-based frameworks, CI/CD, Agile practices, and a focus on performance, reliability, and operational efficiency.

Qualifications

• Bachelor's degree in IT, Engineering, Data Science, or related field.
• 5+ years of experience in data engineering, platform engineering, or software engineering.
• Strong expertise in Azure, Azure DevOps, Databricks, Python, PySpark, and Terraform.
• Experience building data pipelines, microservices, and modern data warehouse solutions.
• Knowledge of PostgreSQL, Power BI, REST APIs, Agile frameworks, and cloud architectures.
• Strong analytical, communication, and stakeholder engagement skills.

Responsibilities

• Design and maintain scalable data pipelines, data lakes, and data warehouse solutions.
• Implement modern Azure-based data engineering frameworks and platforms.
• Optimize data platform performance, reliability, and operational efficiency.
• Collaborate with stakeholders to deliver secure and high-quality data solutions.
• Apply CI/CD, Agile, and software engineering best practices across projects.

Skills

Azure

Azure DevOps

Databricks

Python

PySpark

Terraform

PostgreSQL

Power BI

REST APIs

Agile

Cloud architecture

Data pipelines

Microservices

Data warehouse

Education

Bachelor's degree in IT/Engineering/Data Science

Job description

Build the foundation for next-generation analytics with NTT DATA by developing modern cloud data platforms that power enterprise insights and strategic decision-making.

Responsibilities

• Design and maintain scalable data pipelines, data lakes, and data warehouse solutions.

• Implement modern Azure-based data engineering frameworks and platforms.

• Optimize data platform performance, reliability, and operational efficiency.

• Collaborate with stakeholders to deliver secure and high-quality data solutions.

• Apply CI/CD, Agile, and software engineering best practices across projects.

Qualifications

• Bachelor's degree in IT, Engineering, Data Science, or related field.

• 5+ years of experience in data engineering, platform engineering, or software engineering.

• Strong expertise in Azure, Azure DevOps, Databricks, Python, PySpark, and Terraform.

• Experience building data pipelines, microservices, and modern data warehouse solutions.

• Knowledge of PostgreSQL, Power BI, REST APIs, Agile frameworks, and cloud architectures.

• Strong analytical, communication, and stakeholder engagement skills.