Junior Data Engineer: Build Pipelines in Python & SQL

Ascendion; Metro Manila; Hybrid; PHP 360,000 - 720,000; Full time

Job summary

Ascendion seeks a Junior Data Engineer with solid Python and SQL skills to build and support data solutions in a hybrid setup based in BGC, Taguig. The role emphasizes data pipelines, ETL/ELT, and cloud platforms such as AWS or Azure, with opportunities to work on modern data technologies.

Ideal candidates have 1–3 years of experience, enjoy collaborating with senior engineers, and are eager to learn and grow in data engineering within a hybrid work environment.

Qualifications

• Strong foundation in Python and SQL.
• Understanding of ETL/ELT, data pipelines, data warehouses, and data integration.
• Good analytical and problem-solving skills.
• Willingness to learn and work with cloud-based data technologies.

Responsibilities

• Develop and maintain data pipelines and data processing workflows using Python and SQL.
• Extract, transform, and load data from various sources.
• Write and optimize SQL queries for data processing and analysis.
• Support data integration and migration activities.
• Assist in monitoring, troubleshooting, and improving data pipelines.
• Work with senior data engineers and other technical teams to deliver data solutions.
• Ensure data quality, accuracy, and consistency across data processes.
• Document data workflows, processes, and technical solutions.
• Participate in testing and troubleshooting of data engineering solutions.

Skills

Python

SQL

Data pipelines

ETL/ELT

Cloud exposure

Tools

AWS

Azure

Airflow

Spark

Git

Job description

Ascendion seeks a Junior Data Engineer with solid Python and SQL skills to build and support data solutions in a hybrid setup based in BGC, Taguig. The role emphasizes data pipelines, ETL/ELT, and cloud platforms such as AWS or Azure, with opportunities to work on modern data technologies.

Ideal candidates have 1–3 years of experience, enjoy collaborating with senior engineers, and are eager to learn and grow in data engineering within a hybrid work environment.