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• Design, develop and maintain a hybrid data
platform using Microsoft technologies (e.g.
Fabric, Azure, Databricks) and SQL Server.
• Identify and implement opportunities for
systems and process integration.
• Implement medallion architecture to support
scalable and maintainable dataflows.
• Develop intelligent agents and automated
workflows that integrate with business
systems using tools such as Microsoft
Foundry.
• Develop and deploy knowledge-based AI
systems.
• Develop and deploy machine learning
pipelines using Azure ML Studio.
• Deliver AI-powered solutions using low-
code platforms such as Power Platform and
Copilot Studio.
• Collaborate with cross functional teams to
gather and translate requirements between
technical and non-technical stakeholders.
• Ensure data quality, governance and
security standards are upheld throughout
the platform.
• Ensure responsible AI practices are
embedded in all solutions, including
fairness, transparency and data privacy.
Be ambitious
• Identify opportunities to use data and AI in
innovative and transformational ways at
Brabners.
• Contribute to the organisation’s AI maturity
through experimentation, iteration and
knowledge sharing.
• Passion for Data and AI.
Show you care
• Take pride in attention to detail when
building robust, secure and scalable
solutions that will see Brabners leading on
innovation.
Do what’s right
• Be serious about data and AI governance.
• Build the right solutions at the right time by
working with the Head of AI to ensure
development is strategically aligned to
becoming an AI Enabled law firm.
Stand together
• Support the development and upskilling of
colleagues.
• Share learnings and support colleagues in
adopting and understanding AI tools.
Future Focused
• Proficiency or desire to progress into
building and operationalising a range
of AI systems including ML models and
RAG.
• Ability to think of the “big picture” when
developing scalable solutions.
Team Player
• Provide direction and guidance to
colleagues to support the upskilling of
the wider data team.
• Collaborative mindset with a focus on
cross-functional teamwork and
stakeholder engagement.
Consultant Mindset
• Take a first principles approach.
• Ability to translate complex technical
concepts into business-friendly
language.
• Strong commercial acumen.
• Experience working with a range of
data architecture platform tooling
including Azure and SQL Server.
• Experience applying medallion
architecture principles in real-world
projects.
• Experience working with on-premises
and cloud data.
• Experience working with a range of
systems, APIs and gateways.
• Experience or desire to develop AI
solutions.
• Strong SQL and Python skills.
• Familiarity with low-code platforms
(e.g. Power Platform, Copilot Studio).
• Familiarity with AI services such as
Microsoft Foundry, OpenAI APIs and
agent workflows.
• Experience in deploying and
monitoring AI solutions in a business
environment.
• Strong communication skills and a
collaborative mindset.
Accountabilities Values & Behaviours Competencies Knowledge & Experience