Data Engineer at IGrow Wealth Investments

In this role you will design, build, and maintain robust data pipelines and infrastructure that power business intelligence, automation workflows, and operational reporting across IGrow's property and wealth platforms.
You will work closely with data scientists, analysts, and product teams and with our core systems such as Zoho CRM — to ensure high-quality, reliable data is available across the organisation, all built on iGrow's modern Python.


Minimum requirements (Advantageous):


Postgraduate Degree (Honours, Master's or PhD) in Computer Science, Statistics, Mathematics, Engineering or a related field.
Minimum 3-5 years of 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 environments.
Strong experience with PostgreSQL,schema design and query optimisation.
Experience building backend services using Node.js and TypeScript.
Working knowledge of Docker and containerised deployments.
Experience with workflow automation and orchestration tools such as n8n, Zapier or similar platforms.
Understanding of data modelling concepts and best practices.
Strong analytical and problem-solving skills with a focus on data quality.
Experience integrating solutions with Zoho CRM using Deluge and JavaScript.
Familiarity with low-code and AI automation platforms, including Base44 and n8n.
Experience using AI developer tools such as Claude Code and LLM-based assistants.
Front-end development exposure using React, Tailwind CSS and Framer Motion for building internal data tools.
Experience working in an Agile/Scrum environment.
Background in property, financial services, or investment domains.


Duties and responsibilities include, but not limited to:

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.


Data Infrastructure & Deployment


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.


Data Modelling & Warehousing


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.


Systems & CRM Integration


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.


Data Quality & Governance


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


AI-Assisted Engineering & Continuous Improvement


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.