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Jr. Data Engineer

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Hybrid

Jr. Data Engineer

Ascendion

Jr. Data Engineer

Skills

SQL QueriesData EngineeringPythonGitAWSPySparkApache AirflowAzure

2 months ago

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Important information


Contract type:

Permanent

Salary:

₱420,000 – ₱540,000 / year

Location:

Metro Manila, Philippines

Work mode:

Hybrid

Published on:

1 September 2026

What they need


Junior Data Engineer

Experience Required: 1–3 Years
Work Setup: Hybrid
Location: BGC, Taguig
Shift: Dayshift
Hiring Priority: ASAP
Hiring Process: Fully Virtual

Job Overview

We are looking for a Junior Data Engineer who has a strong foundation in Python and SQL and is interested in building and supporting data solutions. Experience with cloud platforms such as AWS or Azure is a strong advantage, while exposure to other data engineering tools and practices is also highly valued.

This is a great opportunity for someone looking to strengthen their data engineering skills while working with modern data technologies and cloud-based environments.

Key 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.

Required Skills

  • Python – Strong foundational programming skills.
  • SQL – Ability to write queries, joins, aggregations, and basic data transformations.
  • Understanding of basic data engineering concepts, such as 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.

Nice-to-Have Skills

  • Experience with AWS or Microsoft Azure.
  • Exposure to cloud data services and storage.
  • Experience with ETL/ELT tools.
  • Familiarity with data warehouses or data lakes.
  • Exposure to Apache Spark, PySpark, Airflow, or similar data engineering technologies.
  • Experience with Git/version control.
  • Familiarity with APIs and data integration.
  • Knowledge of data modeling and database concepts.
  • Exposure to CI/CD or DevOps practices.

What We're Looking For

  • A junior-level data engineer with solid Python and SQL fundamentals.
  • Someone who is eager to learn and grow in data engineering.
  • Candidates with cloud exposure are highly preferred but AWS/Azure experience is not mandatory.
  • Strong communication, analytical, and problem-solving skills.

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