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At Data Idols, we are working with a forward-thinking technology business building advanced data and AI platforms that combine traditional analytics with next-generation AI-driven intelligence. This is a high-growth environment where data is central to product innovation. The business is now looking for a Lead Analytics Engineer to take ownership of its data architecture and analytics capabilities as it continues to scale. The Opportunity This is a senior, high-impact role where you will design and deliver a unified analytics layer that supports both traditional reporting and AI-powered insight generation. You will be responsible for building scalable data models, enabling advanced analytics, and integrating AI capabilities such as semantic search and natural language querying. Working closely with product, data, and engineering teams, you will play a key role in shaping how data is structured, transformed, and consumed across the platform. This role suits someone who enjoys working at the intersection of analytics engineering, data architecture, and AI, and is comfortable building production-ready data systems in a fast-moving environment.
Job Responsibility:
Design and deliver a unified analytics layer that supports both traditional reporting and AI-powered insight generation
Build scalable data models
Enable advanced analytics
Integrate AI capabilities such as semantic search and natural language querying
Work closely with product, data, and engineering teams
Shape how data is structured, transformed, and consumed across the platform
Requirements:
Experience designing and building ETL pipelines
Strong understanding of data modelling, schema design, and data structures
Strong SQL skills and experience
Experience with data pipeline orchestration tools
Exposure to LLMs or AI-driven analytics workflows
Proven experience building scalable data models and systems end-to-end