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Data Automation Engineer; Python and SQL

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Pax8, Inc.
Full Time position
Listed on 2026-10-20
Job specializations:
  • Software Development
    Python, Data Engineering
Salary/Wage Range or Industry Benchmark: 17000 - 20000 GBP Yearly GBP 17000.00 20000.00 YEAR
Job Description & How to Apply Below
Position: Data Automation Engineer (Python and SQL)
Location: Greater London

Data Automation Engineer (Python and SQL)

SALARY: PHP 130, per month plus 30% night differential

Makati, Philippines | Pax8

The role will be on a Permanent Night Shift Schedule (10pm - 6am)

Pax8 is hiring a Data Automation Engineer (Python and SQL) in Makati, Philippines to help shape the future of billing intelligence, automation, and observability within one of the world’s leading AI-powered cloud marketplaces.

Build the Future of Marketplace Operations

Join a team where engineering excellence meets real business impact. As a Data Automation Engineer (Python and SQL) within Marketplace Operations, you’ll design systems that improve accuracy, scalability, and resilience across a global cloud marketplace. This is an opportunity to solve complex challenges using automation, data engineering, observability, and modern cloud technologies while growing alongside emerging AI-driven technologies and innovation.

You’ll work at the intersection of Engineering, Product, Finance, and Operations, building tools that power smarter decisions, reduce operational friction, and prevent issues before they happen.

Why Pax8?

Pax8 is transforming the way technology is bought, sold, and managed. Our AI-powered marketplace connects managed service providers, vendors, and small businesses through intelligent automation and cloud innovation.

Learn more about our journey, culture, and impact through Pax8’s global success stories, marketplace innovation initiatives, and award-winning workplace culture. If you thrive in environments where curiosity, ownership, collaboration, and innovation are celebrated, you’ll feel right at home here.

What You’ll Be Doing
  • Build end-to-end observability and automation tooling that enhances visibility, efficiency, and accuracy in the monthly billing run (spanning the 1st–7th of each month).
  • Write and maintain Python services and data workflows that analyze and act on financial and subscription data at scale.
  • Design and maintain full stack solutions (dashboards, APIs, automation scripts, alerting pipelines) that surface actionable insights to technical and operational stakeholders.
  • Serve as the technical mentor and coach to other Marketplace Operation’s team members, guiding architectural decisions, code quality, and best practices in observability and automation.
  • Collaborate with cross-functional stakeholders in Engineering, Product, Support and Finance to solve systemic billing issues and build durable solutions.
  • Translate recurring operational pain points into scalable tools, enabling proactive monitoring and self-service troubleshooting for billing data anomalies.
  • Contribute to root cause investigations using a combination of SQL, Python, and systems-level thinking.
  • Provide calm, measured support during high-stakes incident response windows and act as a steady technical leader during retrospectives and resolution planning.
Your Impact

Your work will directly influence how Pax8 manages billions of marketplace transactions, ensuring accuracy, efficiency, and confidence throughout the billing lifecycle. You’ll create solutions that empower teams, improve partner experiences, and reduce operational complexity at scale.

Success in this role means transforming recurring challenges into intelligent systems that continuously improve how the business operates.

What Makes You a Great Fit

You’ll be successful in this role if you bring:

  • 3+ years of experience as a full stack engineer or software developer, with a strong focus on backend systems and data-rich applications.
  • Proficiency in Python and SQL (both required), with experience building services and working with data pipelines or automation tools.

    Knowledge or understanding basic data modelling concepts
  • Cloud data warehouse experience (Redshift,…
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