- Build data, analytics, and AI solutions for a diversified construction and property group
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Work on real production projects with exposure to modern AI technologies
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Collaborate with experienced leaders to develop enterprise data capabilities
Sarah Group is a diversified construction and property group, leading a collective of companies with
a strong reputation
across the industry.
Established in 1961,
we’re
driven by a commitment to deliver exceptional experiences and create distinctive value. At the heart of everything we do is our purpose to build thriving and sustainable communities.
Reporting to the Group Data & AI Manager, we are seeking a
Data & AI Engineer
who will support the development, operation, and continuous improvement of our Data & Analytics Platform while contributing to the next generation of AI-enabled products and solutions.
Build and
maintain
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data pipelines that transform source-system data into trusted, reusable datasets
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Develop queries and data models that support reporting, applications, and business decision-making
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Implement testing, monitoring, data-quality checks, and documentation throughout the development lifecycle
Support the delivery of reporting solutions that
provide
-
meaningful insights across the Group
Create and
maintain
-
reliable datasets for business intelligence and analytics initiatives
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Contribute to AI engineering initiatives, including integrations, knowledge services, and agent-facing capabilities
Assist
-
with the development of web applications and platform solutions as your technical capability grows
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Apply engineering best practices, including version control, code reviews, pull requests, CI/CD, and change management
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Support platform reliability through troubleshooting, incident investigation, and continuous improvement
Use AI developer tools to explore, test,
validate
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, and improve engineering solutions
Apply responsible AI practices while
maintaining
appropriate governan
ce
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, security, and quality standards
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Collaborate with stakeholders across the business to understand requirements and deliver practical solutions
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Participate in ongoing platform enhancements that improve data accessibility, reporting capability, and operational efficiency
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Continuously develop your technical skills while contributing to a live, enterprise-scale platform