Python Automation Developer

Role Overview

We are looking for a hands-on Python & API Automation Engineer to build and maintain automation solutions for data masking.

The successful candidate will develop Python scripts that interact with REST APIs to execute masking tasks, manage end-to-end workflows, monitor job status, process outputs, and push results to a frontend.

This is a pure Python and API development role. It is not a data engineering, platform configuration, or low-code development position.

Key Responsibilities

• Develop robust, reusable Python scripts and automation solutions for data masking workflows.
• Design, build, and consume REST APIs to support automation processes.
• Implement API authentication, session management, retries, exception handling, and error recovery.
• Build ETL and pipeline processes using Python and API-based integrations.
• Trigger and orchestrate jobs programmatically through APIs.
• Monitor job execution and status, handling failures and exceptions appropriately.
• Process, transform, and validate outputs from automated workflows.
• Integrate automation results with frontend applications and downstream systems.
• Write maintainable, production-quality Python code with appropriate logging and error handling.
• Work within regulated environments and follow appropriate security, data protection, and development standards.
• Collaborate with engineering and business teams to understand masking requirements and translate them into automated solutions.

Required Skills & Experience

• Must Have
• Strong hands-on Python development experience, particularly raw Python scripting and automation.
• Experience must be based on Python development rather than platform-based technologies such as ADF, Databricks, or Spark.
• Strong experience developing and integrating REST APIs.
• API development and consumption
• Authentication and authorisation
• Session management
• Retry mechanisms
• Exception and error handling
• Proven experience with ETL and pipeline development.
• Experience with workflow orchestration and automation, including:
• Triggering jobs programmatically
• Monitoring execution and status
• Handling failures and exceptions
• Processing and managing outputs
• Experience working in regulated environments, with financial services experience strongly preferred.
• Strong understanding of software engineering principles, debugging, logging, and production support.

Nice to Have

• Experience with data masking, data anonymisation, or PII handling.
• Familiarity with Informatica IDMC.
• Experience with CI/CD practices and Git.
• Previous experience working for a Tier-1 financial institution.
• Experience integrating backend automation services with frontend applications.