National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

FME Data Consultant

MSA Data Analytics Ltd
Matlock
5 months ago
Applications closed

Related Jobs

View all jobs

GIS Analyst

An exceptional opportunity has arisen for a SeniorFME Geospatial Specialistto join an innovative data-led solutions provider during a period of significant growth. This role will focus heavily on leveragingFME(Feature Manipulation Engine) to aggregate, manage, join, and interrogate complex and varied datasets, ensuring the delivery of high-quality data insights and solutions. You will be at the forefront of driving key data and modelling projects, working on cutting-edge geospatial data products, and supporting the development of innovative data solutions to enhance decision-making processes.


Roles & Responsibilities:

  • Drive the delivery of technical data projects by understanding requirements, designing solutions, and developing systems based onFMEto integrate, manipulate, and analyse complex geospatial and non-geospatial data.
  • UseFMEfor automating workflows, spatial ETL (Extract, Transform, Load), spatial analytics, and data integration to produce actionable insights from diverse datasets.
  • Design, implement, and support the development of innovative data solutions involving geospatial data analytics, automation, and data science.
  • Prepare and maintain formal technical, functional, and user documentation for third-party approval and system handovers.
  • Identify opportunities for process improvements and efficiency gains, leveragingFMEand other GIS tools to streamline operations.
  • Collaborate with stakeholders to deliver sophisticated data analysis and actionable insights, facilitating informed decision-making across the organisation.
  • Act as a subject matter expert in the use ofFMEfor spatial data management, integration, and analysis.


Skills & Experience:

  • FME Expertise:Advanced experience withFME, including spatial ETL processes, data aggregation, management, and interrogation of complex datasets (3 years +)
  • Geospatial Data Skills:Strong background in geospatial data manipulation, integration, and analytics, using GIS software such as QGIS, ESRI, and MapInfo.
  • Experience in data integration, including automating technical workflows, validating spatial data, managing metadata, and ensuring data quality.
  • Proficiency in databases, SQL, and optimisation techniques; experience with relational databases such as PostgreSQL/PostGIS is highly desirable.
  • Knowledge of data analysis tools, including BI and ETL platforms like Tableau, Power BI, or similar.
  • Familiarity with coding languages and scripting is advantageous for task automation and advanced data manipulation.
  • Commercial awareness, with the ability to translate complex data findings into clear, actionable insights.
  • Strong communication skills, both written and verbal, with the ability to work collaboratively with diverse teams.
  • A proactive approach to identifying opportunities for efficiency improvements and developing innovative data products.


Additional Requirements:

  • Willingness to work in a hybrid model, with one day per fortnight required for project meetings in central England.
  • Competitive salary c£45,000 - £50,000 (negotiable based on experience).
  • Opportunity to work with a leading company at the forefront of data-driven solutions.


This is a fantastic opportunity for candidates with strongFMEskills to join a growing team and make a significant impact on the development of innovative data products.


Please apply for full job & company information.


*Must be eligible to work in the UK without requiring visa sponsorship*

National AI Awards 2025

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 Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

When it comes to job hunting in artificial intelligence (AI), most candidates head straight to traditional job boards, LinkedIn, or recruitment agencies. But what if there was a better way to find roles that aren’t advertised publicly? What if you could access hidden job leads, gain inside knowledge, or get referred by people already in the field? That’s where professional bodies and specialist AI communities come in. In this article, we’ll explore how UK-based organisations like BCS (The Chartered Institute for IT), IET (The Institution of Engineering and Technology), and the Turing Society can help you uncover AI job opportunities you won’t find elsewhere. We'll show you how to strategically use their directories, special-interest groups (SIGs), and CPD (Continuing Professional Development) events to elevate your career and expand your AI job search in ways most job seekers overlook.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.