Intelligent Solutions Engineer

We’re looking for a Solutions Engineer to design and deliver automation, tools, and AI-enabled workflows that solve real business problems. This is a hands-on role where you will work closely with stakeholders across the business, rapidly prototype and deliver solutions, use modern platforms such as Microsoft Fabric, automation tools, and AI technologies, and build solutions that are used in practice and deliver immediate impact.

Responsibilities

Design and deliver automation, tools, and AI-enabled solutions; Translate business needs into practical, working solutions; Rapidly prototype and iterate: idea → working solution → improved solution; Build integrations and workflows connecting data, systems, and platforms; Use modern platforms (e.g. Microsoft Fabric, Power Platform, APIs) to deliver solutions; Collaborate directly with stakeholders to refine and improve outputs; Identify opportunities to apply AI and automation at scale; Contribute to reusable components, standards, and best practices; Build and maintain integrations across systems and platforms, including APIs, data flows, and workflows; Apply reliable engineering practices (e.g. error handling, validation, retries) to ensure solutions work in real-world conditions; Write clean, well-structured code (e.g. Python) using AI-assisted development tools where appropriate to accelerate delivery; Support testing, monitoring, and troubleshooting to maintain solution performance and reliability; Document solutions, workflows, and key logic to support reuse and maintainability; Writing and maintaining code where needed (e.g. Python, SQL, scripts, integrations); Reviewing and improving code written by others, including AI-generated code (e.g. pull requests); Ensuring solutions are scalable, maintainable, and fit for purpose; Advising on the best technical approach for different use cases; Raising the overall technical quality and standards of the team

Requirements

Experience writing clean, maintainable code (e.g. Python, SQL, or similar) for automation, data processing, or integrations; Familiarity with AI-assisted development tools (e.g. code generation, prompt-based coding) to support faster prototyping and delivery; Experience working with APIs, integrations, and data workflows; Experience working with Microsoft Azure services to support data integration, automation, analytics, and AI-enabled solutions; Ability to review, debug, and improve code, including AI-generated outputs; Experience with automation tools or workflow platforms; Familiarity with modern data platforms (e.g. Microsoft Fabric, Power, or similar); Strong problem-solving and logical thinking; Ability to turn ideas into working tools or workflows; Comfortable working in a fast-paced, evolving environment; Comfortable working across multiple teams and disciplines, building effective relationships with technical and non-technical stakeholders; Practical, delivery-focused mindset

Benefits

Flexible home-working policy; Work/life balance and a fast-paced and driven environment; Accountability and pride for your projects; Be part of a team evolving into a modern, AI-enabled solutions capability; Work on high-impact, real-world problems; Use and shape modern technologies including AI, automation, and data platforms; Play a key role in defining how Enhesa builds and delivers solutions going forward