Application Engineer

McCune Management Services Limited; Belfast City District; On-site; GBP 50,000 - 75,000; Full time

Benefits offered by this job

Pension

Private Medical

33 days holidays inclusive of Bank Hol

Job summary

McCune Management Services Limited is seeking an R&D Application Engineer to develop, integrate, and maintain technical solutions that optimise business workflows. You will bridge gaps between enterprise platforms using automation and scripting, aligning software logic with business process strategy.

You will design automated data flows, build complex data models for real-time dashboards, and collaborate with stakeholders to translate operational pain points into scalable requirements.

Qualifications

• Advanced command of spreadsheet logic and relational data concepts.
• Experience with RESTful APIs and JSON data structures; Postman preferred.
• Professional experience with enterprise PM tools such as SmartSheet, Jira or Asana.
• Basic understanding of cloud-based environments for automation deployment.
• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.

Responsibilities

• Design and maintain automated data flows between enterprise SaaS platforms and project management environments.
• Develop custom scripts to automate repetitive business functions with high data integrity.
• Architect and troubleshoot RESTful API connections between disparate systems.
• Build and manage complex data models for real-time executive dashboards and reporting.
• Collaborate with stakeholders to translate pain points into scalable technical requirements and workflows.
• Explore modern automation trends, including Generative AI and Agentic workflows, to enhance PMO capabilities.

Skills

Data management logic

API integration

Platform familiarity

Cloud infrastructure

Education

Bachelor’s degree in CS/SE or related

Tools

Postman

Jira

Asana

SmartSheet

Autodesk Construction Cloud

Plangrid

Google Cloud Platform

Job 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

• 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

• Pension
• Private Medical
• 33 days holidays inclusive of Bank Holidays