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Pavago

Embedded Python Data & Automation Engineer

  • Seen live on Pavago's site today
  • Mid level
  • Remote
Pay
Not stated
Location
South Africa
Open for
First seen today
First seen
Nov 4, 2026
Apply on Pavago's site (opens in a new tab)

Posting record

High ghost riskReposted · Duplicate listing

First seen today

The posting's record, oldest first
  1. Ghostless first sees this role listed
  2. This listing goes up
  3. Last checked: still up
How we know

Reposted

Ghostless has seen this role posted 2 times under separate listings, and the earlier one is still up.

Duplicate listing

Identical copies of this role are live at the same time.

Ghostless records the day it first sees a posting, so a repost can't reset its age.

Last checked Nov 4, 2026.

How well do you match?

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What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

About the Role

We are looking for an Embedded Python Data & Automation Engineer to take ownership of an existing Python environment, maintain production systems, improve automations and data pipelines, and develop internal tools and integrations.

Key Responsibilities

  • System Transition & Knowledge Absorption: Shadow the departing programmer and take ownership of the existing Python codebase.
  • Production Support & Maintenance: Troubleshoot live issues, maintain existing systems, and ensure system stability.
  • Data Pipelines & Automations: Maintain, debug, and improve data pipelines and scheduled automations.
  • API & Integration Ownership: Maintain and extend APIs, third-party integrations, authentication flows, and webhooks.
  • Technical Debt: Identify fragile systems, undocumented dependencies, and technical risks and improve them over time.
  • Documentation: Create and maintain system documentation, workflow diagrams, dependency maps, and operating procedures.
  • Internal Tooling: Build practical automation tools and internal software based on business needs.
  • Engineering Practices: Use Git, pull requests, automated testing, changelogs, and staged deployments.

Required Experience & Skills

  • 3+ years of professional Python experience in a data-focused environment.
  • Experience building or maintaining production data pipelines and automations .
  • Strong experience with APIs, integrations, authentication, and webhooks .
  • Experience working with an existing or legacy codebase .
  • Working knowledge of SQL and relational databases .
  • Familiarity with Git, pull requests, testing, and deployment workflows .
  • Strong written English and technical documentation skills.
  • Ability to work with meaningful overlap with US business hours .

Typical Day

Your day begins with a check on overnight automations and any open production issues. You spend focused blocks working through the current system — reading existing code, running tests, tracing integrations, and filling in documentation gaps. Early in the engagement, a meaningful portion of your time is in handover sessions with the departing programmer. As the transition matures, that time shifts toward new development: building automations, improving pipeline reliability, or scoping a new internal tool with the client. You communicate primarily over Slack and participate in planning sessions and check-ins that align with US business hours. You raise flags early, document as you go, and push changes through staging rather than directly to production.

Interview Process

  • Video Interview Screening
  • Client Interview
  • Offer Stage

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