Data Engineer

Purpose

Build a governed, AI-ready data and analytics platform bringing together business domain data and 3rd party data into a central repository.  This is a mostly greenfield build with the ambition to reach full enterprise coverage plus various third-party inputs over roughly 12-18 months.

The Data Engineer is the teams’ first hands-on builder responsible for extracting data, building the pipelines and monitoring its health, quality and cost day-to-day.  This is a foundational hire that will shape the platform’s underlying structure as it scales from one domain to the entire business.

Key Responsibilities

Data Extraction & Ingestion

• Build and maintain batch and near-real-time ingestion pipelines from source systems into data lake
• Identify and implement best practice extraction methodologies per source

Data Transformation & Modeling

• Build reliable Bronze/Silver/Gold data pipelines landing raw data, cleaning/transforming it and modelling it (dimensional/star schema patterns) for reporting and analysis
• Partner directly with business domains to define and implement semantic layer for single source of truth with metrics and entities

Governance & Security Support

• Apply data classification, role-based access controls and row/column-level security to define/implement governance framework
• Implement and maintain Master Data, cataloguing, lineage, and business glossary upkeep as new sources are onboarded (along with semantic layer)

AI/BI Enablement

• Ensure clean, well-documented, and consistent modelling to enable BI and MCP-based query access
• Support early document-intelligence and knowledge-retrieval pilots