Technical Mobilisation Coordinator

London
10 months ago
Applications closed

Related Jobs

View all jobs

Technical Data Analyst CGEMJP00337191

Technical Building Data Analyst

Snr Technical Apps Specialist - Quantitative Risk Management

Snr Technical Apps Specialist - Quantitative Risk Management

Data Analyst

Data Analyst (UK Citizen)

Technical Mobilisation Coordinator - Fast Growing FM Service Provider

We are seeking a proactive and detail-oriented Technical Pricing Associate to support our Mobilisation Team in delivering high-quality FM service transitions. This role is crucial in ensuring asset data integrity, supporting condition assessments, and contributing to accurate pricing for new and existing contracts.

You'll work closely with technical surveyors, estimators, and commercial teams to gather, verify, and analyse asset data, helping shape pricing models and mobilise facilities contracts across various sectors.

Key Responsibilities

Support mobilisation projects through on-site asset verification and desktop analysis.
Assist in preparing and reviewing asset condition reports, ensuring data accuracy and completeness.
Collaborate with the pricing and commercial teams to provide technical input for FM pricing models (both hard and soft services).
Work with CAFM and asset management systems to validate and update asset registers.
Contribute to lifecycle costing and asset replacement planning exercises.
Liaise with subcontractors and internal teams to obtain pricing data and technical specifications where needed.

About You

We're looking for someone who is both technically capable and commercially aware, ideally with experience in a similar FM, surveying, or estimating environment.

Essential Skills & Experience

Strong understanding of building services systems and FM asset types (e.g., HVAC, M&E).
Experience with asset verification, condition surveys, or technical estimating.
Numerate and analytical with good Excel skills.
Comfortable working both on-site and from the office/home.
Excellent attention to detail and strong communication skills.
Desirabe

Knowledge of CAFM systems (e.g., Planon, Concept, Maximo).
Experience supporting tender or mobilisation processes.
Background in facilities management, engineering, or quantity surveying.

What We Offer

Competitive salary based on experience
Hybrid working model
Opportunities for professional development and progression
Supportive team culture within a growing business

Ready to play a vital role in mobilising high-profile FM contracts?
Apply now or contact us to find out more about this opportunity.

Build Recruitment Limited acts as an Employment Business for the supply of temporary workers and an Employment Agency in relation to permanent vacancies. Build Recruitment is an equal opportunities employer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.