Data Automation Engineer (6-months Contract)

Argyll Scott Singapore; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A technology recruitment firm in Singapore is looking for a test automation professional to develop automation frameworks and validate data workflows in an Agile environment. The ideal candidate has strong Python skills and experience with data engineering concepts. Responsibilities include designing test strategies and collaborating with team members. This role offers a unique opportunity to enhance quality across digital and analytics platforms.

Qualifications

• Strong programming proficiency in Python with experience in automation frameworks.
• Solid understanding of data engineering concepts like ETL pipelines and data validation.
• Experience in test automation across APIs and cloud platforms.

Responsibilities

• Develop and maintain automation frameworks and scripts using Python.
• Design and implement test strategies for data ingestion and validation.
• Collaborate with team members to integrate testing into CI/CD pipelines.

Skills

Python

Data engineering concepts

Test automation across APIs

CI/CD tools

Problem-solving skills

Tools

PyTest

Robot Framework

Jenkins

GitHub Actions

GitLab CI

Job description

Overview

Role Overview:

This role is ideal for a technically strong test automation professional with a deep understanding of data platforms and pipelines. You’ll be part of an Agile team responsible for building scalable automation frameworks and validating the integrity of data workflows across cloud, API, and data engineering environments. The position suits someone who combines programming expertise with data-driven testing practices to enhance quality across the organisation’s digital and analytics platforms.

Key Responsibilities

• Develop and maintain automation frameworks and scripts using Python for data platform and API testing.
• Design and implement test strategies covering data ingestion, transformation, and validation across ETL and pipeline workflows.
• Build automated validation processes to ensure data accuracy, schema compliance, and transformation integrity.
• Collaborate with data engineers, developers, and QA peers to integrate testing into CI/CD pipelines.
• Apply structured approaches to testing data systems in batch and streaming environments.
• Provide technical guidance and mentoring to team members on automation and data testing best practices.

Key Requirements

• Strong programming proficiency in Python, with proven experience in building or extending automation frameworks.
• Solid understanding of data engineering concepts, including ETL pipelines, data transformation, and data validation techniques.
• Experience in test automation across APIs, cloud platforms, or data-driven systems.
• Familiarity with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI.
• Exposure to modern test tools (e.g., PyTest, Robot Framework, or custom Python-based frameworks).
• Excellent problem-solving skills and ability to operate in Agile, fast-paced delivery environments.

If this role aligns with your experience and career goals, please send your application to [e-mail].

Argyll Scott Asia is acting as an Employment Business in relation to this vacancy.