GIS Technician

Nuneaton
10 months ago
Applications closed

Related Jobs

View all jobs

GIS Data Engineer Technician — Asset Insight & Open Data

GIS Data Engineer Technician

GIS Data Engineer – Asset Information Specialist

Data Engineering Technician

Data Engineering Technician

Data Engineering Technician

The Opportunity

Based at our Nuneaton Office, with hybrid working, you will be part of a small team assisting with all aspects of Geographical Information Systems (GIS). Your primary responsibilities will involve processing, transforming, and integrating spatial data into PostGIS systems using FME, as well as leveraging GeoServer for web-based mapping services. You will also apply cartographic principles to create high-quality maps (SLD, CSS) and visualizations.

A key part of the role will be developing and maintaining geospatial data workflows, ensuring the accuracy, integrity, and interoperability of spatial data across different platforms. You will work extensively with GIS applications such as ArcGIS, QGIS (preferred), and other industry-standard tools.

If you have the ability to translate technical GIS concepts into non-technical language and possess skills in spatial analysis techniques, including spatial statistics, network analysis, and geocoding, this would be highly desirable for the role.

You’d also have a familiarity with GIS programming languages and libraries such as Python, R, or .Net for custom scripting and automation.

About You

This is an exciting opportunity with clear scope for career development and growth, working within a small and friendly team. The ideal candidate will ideally have previous experience in a GIS role and have the following attributes:

  • Process, transform, and integrate geospatial data using FME into PostGIS databases.

  • Manage and optimize GIS data storage and retrieval within a PostGIS environment.

  • Configure and maintain GeoServer to provide spatial data through web applications.

  • Work with QGIS, ArcGIS, and other GIS software for spatial analysis and visualization.

  • Develop and maintain geospatial workflows to enhance data processing and automation.

  • Ensure data accuracy, integrity, and interoperability between GIS platforms.

  • Troubleshoot GIS software and data-related issues and support end-users.

  • Collaborate with developers, data analysts, and stakeholders to improve GIS capabilities

    Requirements:

  • Experience in data acquisition, cleaning, and georeferencing.

  • Proficiency in using FME for data transformation and integration.

  • Strong knowledge of PostGIS and relational database management systems (PostgreSQL, Oracle Spatial).

  • Hands-on experience with GeoServer for serving spatial data.

  • Strong analytical and problem-solving skills to address complex spatial challenges.

  • Excellent written and verbal communication skills for documentation, presentations, and team collaboration.

  • Commitment to staying up to date with GIS advancements and best practices.

  • Familiarity with GIS programming languages such as Python, R, or .NET for custom scripting and automation.

    Full training on all bespoke systems and procedures will be provided to the successful applicant.

    What We Offer

    This is a full-time role (37.5 hours, Monday to Friday) based from our office in Nuneaton, within our hybrid working policy – Tuesdays/Wednesdays and Fridays are office days.

    In return, we offer; competitive salary, contributory pension under auto-enrolment rules, access to employee benefits platform, free parking and a friendly and collaborative working environment together with good opportunity to develop this role and your skills along the way.

    About LinesearchbeforeUdig (LSBUD)

    LSBUD is an online service that helps 15,000 works across the country take place more safely every day. It does this by showing where cables and pipes are before works take place. Benefits of using the service include:

  • Free to use internet-based search enquiry system to help everyone keep safe

  • 24/7 availability

  • Online, free to use service open to all users.

    The service provides a single point of contact for all enquiries relating to LSBUD Members’ assets, including electricity networks, gas networks, oil pipelines, water networks and fibre optic networks.

    Bring Yourself to Work

    It’s simple really, we are passionate about what we do, and we want you to be driven to succeed with us. For this to happen, you need to feel supported and included which is why we’re proud to be 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.

Careers

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.

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

Education

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.