GIS Technician - Remote / Hybrid

Birmingham
1 year ago
Applications closed

Related Jobs

View all jobs

Associate Data Scientist: Meteorology & Defence Tech

Data Analyst Rail

Associate Data Scientist

Associate Data Scientist

Data Science Consultant

Data Analyst

Job Title: GIS Technician

Location: Hybrid/Remote Working 

Salary: Competitive depending on experience 

Job Type: Full Time, 40 hours.

Bruton Knowles is an independently owned Chartered Surveying practice who provide a comprehensive range of surveying and property services. Our geographic reach covers the whole of England and Wales with clients in utilities and infrastructure, valuation, commercial, planning and development, and rural.

We've taken on new, innovative ways of working to deliver our services and we've created a new strategy to target key areas of growth for the business, resulting in the launch our new Utilities and Infrastructure team, our new National Valuation Team and further development for our Rural team whilst bolstering our activity in commercial, planning and development.

About the role:

We are looking to appoint a GIS Technician to assist in the delivery of GIS services to our Utilities and Infrastructure Team. This is a hybrid / remote working position and available throughout the UK.

Main Responsibilities, Tasks and Key Duties:

Data capture, management, analysis and validation
Data conversion and integration
Map production for Land Referencing products
Development and implementation of methodologies for creation and use of spatial data
Digitising, editing, coding, and annotating line, point and polygon data
Creation of Land Registry compliant Easement, Consent and Wayleave drawings
Creation of landowner plans for attachment to referencing forms
Meeting with internal clients to determine GIS requirements
About you:

A degree qualification in GIS or a related field. MSc would be desirable but not essential.

The ideal candidate will have two or more years commercial experience in a similar role and be able to provide demonstratable experience of GIS, technical consultancy and the delivery of tasks to time, accuracy, quality whilst meeting cost objectives.

Knowledge, Skills and Abilities:

A high level of competence using ESRI, ArcGIS product suit, including its extensions
A sound understanding of spatial data structures and fundamental concepts of GIS
Spatial database design and management, preferably with ESRI geodatabases
Ability to liaise with internal and external clients to deliver high quality GIS output for projects
Able to work on their own and with a wider project team based in multiple locations
Experience of using Ordnance Survey, Land Registry and other data products
Proficient in the delivery of allocated project tasks, to quality, time and budget requirements;
Have good problem-solving skills
Excellent communication skills in written and spoken English
Attention to detail
Be adaptable and flexible
A desire to innovate, looking for new ways of doing things effectively
Excellent time management
Ability to deal with pressure
Ability to work independently as well as in an interdisciplinary team;
Clean and full driving licence
Desirable criteria

Experience of working with environment, planning and engineering related datasets
Experience with working and controlling a large number of evolving datasets
Experience in SQL server
Experience of Web GIS applications using ArcGIS for Server, ArcGIS online
Experience of ESRI Model Builder, Python and FME
Please click on the APPLY button to send your CV and Cover Letter for this role.

Candidates with the relevant experience or job titles of; Data Analyst, GIS Technician, Geocortex, FME, ESRI, ArcGIS, GIS Consultant, Geospatial, GIS, Database Technician, GIS Analyst, GIS Technician, Geographic Information Systems Database Technician, Geographic Information Systems Database Analyst, Data Technician, Solutions Analyst, Solutions Technician, Solutions Analyst will also be considered for this role

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.

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.