A feature‑led low‑code engineering role within a small, multidisciplinary digital solutions team. The role sits at the intersection of technical delivery and stakeholder engagement, with full ownership of features across Dynamics 365 and the Microsoft Power Platform from discovery through to release.
Key Responsibilities
* Take end-to-end ownership of features, from initial handover through specification, design, build, and release
* Work directly with business stakeholders to gather requirements, structure unformed ideas, and define clear specifications and user stories
* Design, configure, and build solutions across Dynamics 365 and the Power Platform (Power Apps, Power Automate)
* Make and document technical design decisions, including data models and integrations
* Maintain high standards of solution structure, clarity, and extensibility
* Act as the primary point of contact for owned features, managing stakeholder communication throughout delivery
* Coordinate with internal and external contributors, providing technical direction where needed
* Identify and promote reuse of components and patterns across features
* Actively use AI tools to improve speed, quality, and problem-solving, and contribute to team practices
Technology Environment
* Microsoft Dynamics 365 (CRM customisation, configuration, workflows, security roles)
* Microsoft Power Platform:
* Power Apps (Canvas and Model-Driven)
* Power Automate (cloud flows, integrations)
* Supporting technologies may include:
* Azure DevOps or similar work management tools
* 2+ years hands‑on experience with Dynamics 365 CRM
* Strong experience with Power Automate (including complex flows and integrations)
* Experience building Power Apps (Canvas and Model-Driven)
* Proven experience leading feature-level delivery with business stakeholders
* Ability to produce clear technical designs and documentation
* Strong communication skills, able to explain technical decisions in plain language
* An AI-first mindset with practical, daily use of AI tools in development and problem-solving
* Azure DevOps or equivalent delivery tooling
* Deeper AI usage (custom prompts, structured workflows, integrations)
* Experience in regulated, financial, or professional services environments
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