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Open nowFirst seen 7 hours ago

Data Engineer

PM Consulting1,477 open roles

Where
Mandaluyong City, Metro Manila, Philippines
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Your applicationOpen nowData EngineerPM Consulting · Mandaluyong City, Metro Manila, Philippines
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. PM Consulting postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 7 hours ago

PM Consulting median: 1 days open

The posting

We're looking for a motivated Data Engineer to help build, maintain, and improve data pipelines and infrastructure that support data-driven products and business initiatives.

In this role, you'll work alongside experienced data engineers, data scientists, and cross-functional teams to ensure data is accurate, accessible, reliable, and ready for use.

Key Responsibilities

  • Develop, deploy, and maintain data pipelines that support business use cases and product features.
  • Monitor pipeline performance and reliability, troubleshoot data quality issues, and help resolve operational incidents.
  • Support data requests and pipeline incidents within agreed timelines and service-level expectations.
  • Implement data validation, testing, and monitoring practices to maintain data accuracy and reliability.
  • Maintain clear technical documentation and follow established development and deployment procedures.
  • Apply data engineering best practices, including version control, CI/CD, data governance, and observability.
  • Collaborate with senior engineers and cross-functional stakeholders on data initiatives and continuous improvement.
  • Identify opportunities to enhance pipeline performance, reliability, and usability.

Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, or a related field, or equivalent practical experience.
  • 2–3 years of relevant experience in Data Engineering, Analytics Engineering, Software Engineering, or a related technical role.
  • Proficiency in Python, including scripting and basic data processing.
  • Solid SQL skills, including querying, filtering, aggregations, and joins.
  • Experience with relational databases, data warehousing, and ETL/ELT pipelines.
  • Hands-on experience with at least one cloud platform: AWS (preferred), GCP, or Azure.
  • Experience with a data orchestration tool such as Apache Airflow, Dagster, or an equivalent platform.
  • Ability to write maintainable code, document technical processes, and collaborate effectively with a team.
  • Willingness to learn new technologies and continuously improve engineering practices.
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