Data Engineer

• 3-5 years relevant experience in a data engineering or similar role.
• Strong proficiency in Python (pandas or equivalent) and SQL.
• Hands-on experience designing and maintaining ELT/ETL pipelines in production.
• Strong experience with PostgreSQL - schema design and query optimisation.
• Experience building backend services with Node.js and TypeScript.
• Working knowledge of Docker and containerised deployments.
• Experience with workflow automation/orchestration tools (n8n, Zapier, or similar).
• Understanding of data modelling concepts and best practices.
• Strong analytical and problem-solving skills with attention to data quality.
• Experience integrating with Zoho CRM using Deluge and JavaScript.
• Familiarity with low-code / AI automation platforms (Base44, n8n).
• Experience using AI developer tools such as Claude Code and LLM-based assistants.
• Front-end exposure (React, Tailwind CSS, Framer Motion) for building internal data tools.
• Experience working in an Agile/Scrum environment.
• Background in property, financial services, or investment domains (relevant to iGrow).

Data Pipeline Development

• Design, build, and maintain scalable ELT/ETL pipelines using Python and SQL against PostgreSQL.
• Orchestrate and automate data workflows using n8n, Zapier, and scheduled Node.js services.
• Ensure pipelines are reliable, idempotent, and monitored with appropriate alerting.

• Containerise and deploy data services with Docker for consistent, reproducible environments.
• Build and maintain backend data services in Node.js and TypeScript.
• Optimise PostgreSQL performance, indexing, and resource usage for cost and speed.

• Design and implement data models and schemas in PostgreSQL to support analytics and reporting.
• Apply dimensional and relational modelling best practices to support analytics use cases.
• Collaborate with analysts to build and maintain transformation layers in SQL and Python.

• Integrate data across iGrow's core systems, with Zoho CRM as a key source of record.
• Build and maintain Zoho integrations and automations using Deluge, JavaScript, and REST APIs.
• Connect low-code and automation platforms (n8n, Zapier, Base44) into reliable, observable data flows.

• Implement data quality checks, validation frameworks, and lineage tracking.
• Contribute to data cataloguing and documentation efforts.
• Enforce data security, access control, and compliance standards.

• Use AI tools such as Claude Code and LLMs to accelerate development, testing, and documentation.
• Participate in code reviews and promote engineering best practices.
• Stay current with data engineering trends and contribute to tooling and process improvements.