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Junior–Mid Level Data Engineer (AWS)

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Hybrid

Junior–Mid Level Data Engineer (AWS)

Ascendion

Junior–Mid Level Data Engineer (AWS)

Skills

SQL QueriesData EngineeringData MiningPythonData SciencePostgreSQLMySQLAWS LambdaAmazon RedshiftGitData AnalysisAWSOracleApache Airflow

14 days ago

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Important information


Contract type:

Permanent

Salary:

₱720,000 – ₱1,020,000 / year

Location:

Metro Manila, Philippines

Work mode:

Hybrid

Published on:

6 October 2026

What they need


Junior–Mid Level Data Engineer

Location: BGC, Taguig
Work Setup: Hybrid

About the Role

We are looking for a Junior–Mid Level Data Engineer to join our team and support the development, maintenance, and optimization of data solutions in a cloud environment.

The ideal candidate has hands-on experience with AWS, Python, and SQL, with a strong interest in building and improving data pipelines, processing data, and supporting data-driven applications.

Key Responsibilities

  • Develop, maintain, and optimize data pipelines and ETL/ELT processes.
  • Work with AWS cloud services to store, process, and manage data.
  • Develop Python scripts for data processing, automation, and pipeline development.
  • Write and optimize SQL queries for data extraction, transformation, and analysis.
  • Perform data validation, cleansing, and quality checks.
  • Support data integration and migration activities across different data sources.
  • Troubleshoot data pipeline and processing issues and implement appropriate solutions.
  • Collaborate with Data Engineers, Analysts, Developers, and other stakeholders to deliver data solutions.
  • Maintain technical documentation for data processes and solutions.

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
  • 1–4 years of experience in Data Engineering, ETL, Data Analytics Engineering, or a related role.
  • Hands-on experience with AWS and its data-related services.
  • Strong Python programming/scripting skills.
  • Strong SQL skills and experience working with relational databases.
  • Understanding of ETL/ELT, data pipelines, data transformation, and data quality.
  • Good problem-solving and analytical skills.
  • Good communication and collaboration skills.

Nice to Have

  • Experience with AWS S3, Glue, Redshift, Athena, Lambda, or EMR.
  • Experience with Airflow or other workflow orchestration tools.
  • Experience with PostgreSQL, MySQL, Oracle, or similar databases.
  • Exposure to data warehousing or data lakes.
  • Experience with Git/version control.
  • Knowledge of data modeling and cloud-based data architectures.

Work Setup

  • Hybrid setup
  • BGC, Taguig

Why Join Us?

  • Gain hands-on experience working with AWS cloud data technologies.
  • Work on real-world data engineering and automation projects.
  • Collaborate with experienced technical teams and expand your cloud and data engineering skills.
  • Opportunity to grow within a global technology environment.

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