Data Engineer (Junior to Senior)

Ascendion; Taguig; Hybrid; PHP 600,000 - 1,200,000; Full time

Job summary

Ascendion is seeking a Data Engineer in Manila to build and maintain scalable ETL/ELT pipelines, integrating data from multiple sources and optimizing data warehouses, lakes, and lakehouse solutions.

You will work with cross-functional teams to deliver reliable data solutions while ensuring security and governance compliance, using SQL, Python, and cloud services across AWS, Azure, and GCP.

Qualifications

• 3+ years of Data Engineering, ETL/ELT, or Data Warehousing experience.
• Strong SQL and data modeling skills.
• Experience with Python, Java, Scala, or similar languages.
• Knowledge of AWS, Azure, or GCP.
• Experience with databases such as SQL Server, PostgreSQL, Oracle, or MySQL.
• Strong analytical, troubleshooting, and collaboration skills.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT solutions.
• Integrate and process data from databases, APIs, applications, files, and enterprise systems.
• Build and optimize data models, data warehouses, data lakes, and lakehouse architectures.
• Develop data processing solutions using SQL, Python, and other programming languages.
• Monitor, troubleshoot, and improve data pipeline performance, reliability, and scalability.
• Implement data quality, validation, and governance controls.
• Collaborate with cross-functional teams to deliver business-driven data solutions.
• Maintain technical documentation and ensure compliance with security, privacy, and governance standards.

Skills

SQL & data modeling

Data pipelines

Programming languages

Collaboration skills

Tools

AWS

Azure

GCP

SQL Server

PostgreSQL

MySQL

Job description

Join our team as a Data Engineer responsible for building and maintaining scalable ETL/ELT pipelines, integrating data from multiple sources, and optimizing data warehouses, lakes, and lakehouse solutions. You will work closely with cross-functional teams to deliver reliable, high-quality data solutions while ensuring compliance with security and governance standards.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL/ELT solutions.

• Integrate and process data from databases, APIs, applications, files, and enterprise systems.

• Build and optimize data models, data warehouses, data lakes, and lakehouse architectures.

• Develop data processing solutions using SQL, Python, and other programming languages.

• Monitor, troubleshoot, and improve data pipeline performance, reliability, and scalability.

• Implement data quality, validation, and governance controls.

• Collaborate with cross-functional teams to deliver business-driven data solutions.

• Maintain technical documentation and ensure compliance with security, privacy, and governance standards.

Requirements:

• 3+ years of Data Engineering, ETL/ELT, or Data Warehousing experience

• Strong SQL and data modeling skills

• Experience with Python, Java, Scala, or similar languages

• Knowledge of AWS, Azure, or GCP

• Experience with databases such as SQL Server, PostgreSQL, Oracle, or MySQL

• Strong analytical, troubleshooting, and collaboration skills