Night Shift Data Automation Engineer | Python & SQL

Pax8 Philippines Inc.

Philippines

On-site

PHP 1,451,000 - 1,674,000

Full time

12 days ago

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Job summary

Pax8 Philippines Inc. in Makati, Philippines, is seeking a Data Automation Engineer (Python and SQL) for a permanent night shift (10pm–6am).

The role centers on building end-to-end automation around monthly billing, with Python services and data workflows handling large-scale financial data. You will design dashboards, APIs, and alerting pipelines, while mentoring teammates on observability and best practices.

Qualifications

  • 3+ years as a full stack engineer or software developer.
  • Proficiency in Python and SQL (required).
  • Experience with data pipelines or automation tools.
  • Cloud data warehouse experience (Redshift/Snowflake/BigQuery).
  • Familiarity with orchestration tools (Airflow/Argo).

Responsibilities

  • Build end-to-end observability and automation tooling for the monthly billing run.
  • Write and maintain Python services and data workflows that analyze and act on financial and subscription data at scale.
  • Design and maintain dashboards, APIs, automation scripts, alerting pipelines for stakeholders.
  • Mentor team members on observability and automation practices.
  • Collaborate with cross-functional teams to solve billing issues and build scalable solutions.
  • Translate recurring pain points into scalable tools for self-service troubleshooting.
  • Contribute to root cause investigations using SQL and Python.
  • Provide calm support during incident response and retrospectives.

Skills

Python
SQL
Data pipelines
Observability
BI tools

Tools

Kubernetes
Docker
AWS
dbt
PowerBI
Streamlit

Job description

Pax8 Philippines Inc. in Makati, Philippines, is seeking a Data Automation Engineer (Python and SQL) for a permanent night shift (10pm–6am).

The role centers on building end-to-end automation around monthly billing, with Python services and data workflows handling large-scale financial data. You will design dashboards, APIs, and alerting pipelines, while mentoring teammates on observability and best practices.

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