Data Engineer for Workflow Automation
1 week ago
Job Description:
">- Design and maintain automated workflows in n8n to connect multiple SaaS and internal systems
- Cleanse, validate, and transform datasets for consistency and reliability
- Design and implement API integrations to enable seamless data flow across platforms
- Contribute to maintaining the system of record hosted in Azure, ensuring data accuracy and accessibility
- Perform exploratory data analysis to surface insights and support reporting needs
- Develop Python and SQL scripts for data transformation and automation
- Apply digital transformation methodologies to streamline processes and embed automation into daily operations
- Experiment with AI-enabled tools (e.g. anomaly detection, summarisation, LLM agents) to enhance workflows
Requirements:
">- 2-4 years of experience in workflow automation, data engineering, or systems integration
- Hands-on experience with n8n (or similar platforms like Zapier, Power Automate)
- Strong proficiency in Python (pandas, numpy) and SQL
- Experience working with APIs (REST/GraphQL) and integrating multiple systems
- Familiarity with cloud environments (Azure preferred) for data storage and processing
- Strong analytical and problem-solving skills—you can trace issues, debug integrations, and validate data
- Excellent communication—you can explain workflows and integrations to non-technical colleagues
- Demonstrated AI/LLM project work in past experience
Why Choose Us?
">This is your chance to shape the backbone of our digital transformation. You'll own the workflows and integrations that make data reliable, systems connected, and AI adoption possible.
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