Summary
✨ AI‑Generated
An application engineering role focused on integrating enterprise systems, automating workflows, and developing technical solutions that improve operational efficiency.
Highlights
Opportunity to combine software engineering with business process improvement through automation and system integration.
Description
The R&D Application Engineer will be responsible for developing, integrating, and maintaining technical solutions that optimise business workflows.
The successful candidate will possess a strong foundational understanding of data structures and systems integration, utilising scripting and automation to bridge gaps between various enterprise platforms.
This role requires a blend of software development logic and a strategic approach to business process management.
KEY RESPONSIBILITIES
Systems Integration: Design and maintain automated data flows between enterprise SaaS platforms and project management environments.Process Automation: Develop custom scripts to automate repetitive business functions, ensuring high data integrity and operational efficiency.API Management: Architect and troubleshoot RESTful API connections (utilising GET, POST, PATCH, and DELETE methods) to facilitate seamless communication between disparate systems.Data Architecture & Reporting: Build and manage complex data models, utilising advanced formulas and logic to drive real-time executive dashboards and reporting.Solution Design: Collaborate with stakeholders to translate operational pain points into scalable technical requirements and automated workflows.Emerging Technologies: Explore and implement modern automation trends, including Generative AI and Agentic workflows, to enhance PMO capabilities.
ESSENTIAL QUALIFICATIONS
Scripting & Development: Strong proficiency in JavaScript or Python.
Experience with Google Apps Script is highly advantageous.Data Management Logic: Advanced command of spreadsheet logic and relational data concepts (e.g., complex nested formulas, data normalisation, and cross-platform data mapping).Integration Expertise: Proven experience working with RESTful APIs and JSON data structures.
Familiarity with technical debugging tools (e.g., Postman) is preferred.Platform Familiarity: Professional experience with enterprise Project Management tools (such as Smart sheet, Jira, or Asana) and Construction Management platforms (such as Autodesk Construction Cloud, or Plangrid).Cloud Infrastructure: Basic understanding of cloud-based environments (e.g., Google Cloud Platform) for the deployment and management of automation scripts.Education: Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
DESIRABLE QUALIFICATIONS
Experience in developing AI-assisted automatons or utilising Large Language Models (LLMs) via API.Familiarity with cloud infrastructure (e.g., Google Cloud Platform) for the deployment of automation scripts.Familiarity with low-code/no-code integration middle ware (e.g., Zapier, Workato, or MuleSoft).Knowledge of Lean Six Sigma or similar process improvement methodologies.Professional certifications in Project Management or specific Collaborative Work Management platforms.
COMPENSATION & BENEFITS
Competitive salaryPensionPrivate Medical33 days holidays inclusive of Bank HolidaysFree onsite parkingCasual dress code
