Job Description

Job Title: Desktop Support Engineer

Location/Based: Furness Academy Trust, Cumbria

Reports To: Line Manager

Staff Responsibility: No direct reports

General Overview of the

position:

Provide IT support to an Academy Trust and their schools, focusing on 2nd

line cases escalated from 1st line, ensuring timely responses per SLA

requirements to maintain a productive and safe environment for teaching

and learning in all schools.

Main duties and

responsibilities:

To include:

• Provide first / second line support to staff and students across the

Trust

• To monitor the Helpdesk systems in place to ensure there is a prompt

response to users’ requests for support

• To support other ICT Technicians, paying particular attention to

prioritisation and service level agreements

• To assist with the remote installation and configuration of software

applications, demonstrating good industry practice to other team

members

• To monitor the backup procedures, ensuring that no backups are

missed or only partially completed and where errors occur, they are

investigated and resolved as a matter of priority

• Maintain records and documentation for installed infrastructure in

accordance with good practice

• To support Trust staff in using new software and devices effectively

and the development of on-line manuals and guides, where required

• To contribute to the further development of the Trust’s ICT

infrastructure, through the input of ideas and knowledge regarding

developments in ICT generally

• To participate in appropriate development training, as agreed.

Other Duties • Other such reasonable duties within the general scope of the job title.

Person Specification

Job Title Desktop Support Engineer

Essential Desirable

Education/Qualifications: • GCSE Computer Science

• IT Apprenticeship (Level 3 or 4)

• IT related degree

Experience: • Minimum 3-5 year’s relevant experience

Skills/Knowledge: • MS Office skills

• Windows Client and peripheral

knowledge

• Active Directory administration skills

• Windows Server Configuration

skills including mapped & Shared Drives

• Network (switch) administration

• Endpoint Protection administration

• Group Policy administration &

troubleshooting

• Printer Troubleshooting

• Wireless Network

administration

• Office 365 Administration &

Management

• Experience of Azure

• Experience of cloud-based

portal administration

• Experience of Remote Access

Solutions MS RDS

• Sophos MDM

Aptitudes/Attributes • Excellent written and verbal

communication

• Be an innovative, highly organised and

collaborative

• Have an eye for detail and accuracy

• Able to manage time

• Able to manage the demands of

numerous tasks

• Able to work on own initiative and within

a team environment

• Self-motivated and able to motivate

others

• Diplomatic when faced with issues

Other Job Requirements: • Willing to undertake further training to

fulfil the requirements of the role

• Willing to work additional hours to meet

the demands of the role

• Satisfactory Enhanced DBS Clearance

• Have a Full UK Driving licence and access

to a suitable vehicle

Data/AI Engineer

Role Purpose

• This role focuses on designing and developing a robust, cloud-based data platform using Microsoft technologies to facilitate advanced analytics and AI initiatives.

• You will enable our AI strategy and this role is a growth opportunity for an experienced data engineer to work on the latest AI tech including Gen-AI (and RAG), Machine Learning and Agentic AI.

2

• 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