Data Consultant

Latchmere
3 hours ago
Create job alert

Data Consultant

London / South East | Hybrid with secure site work

Ncounter is working with a highly specialised AI and data consultancy delivering advanced analytics and machine learning capability into some of the UK’s most secure environments. They are growing their engineering team and are looking for a DV Cleared Data Engineer to play a key role in building complex data platforms that directly support critical decision making.

This is a hands-on engineering role focused on designing, building and optimising data pipelines within highly controlled, high impact programmes. You will work across modern data ecosystems, integrating large scale datasets, developing robust ETL processes and enabling the deployment of AI and machine learning solutions into operational settings. The work is technically challenging, often requiring creative problem solving in constrained environments where performance, security and reliability are essential.

The organisation is at the forefront of applying AI within Defence and Government, with strong exposure to platforms such as Palantir and similar large scale data integration technologies. You will be working closely with both technical teams and end users, translating real world problems into scalable, production grade solutions.

Key experience required:

• Active DV Clearance and willingness to work within secure UK environments

• Strong Data Engineering background with solid programming skills in Python and SQL

• Proven experience designing and building ETL pipelines and data workflows at scale

• Experience working across cloud and on prem data platforms

• Exposure to machine learning or AI driven systems within production environments

• Understanding of complex data integration challenges within enterprise or secure settings

• Ability to engage with stakeholders and operate effectively in delivery focused teams

This role would suit someone from a Defence, National Security, or consultancy background who enjoys working on technically demanding problems with real world impact.

If you are looking to apply your data engineering expertise within cutting edge AI programmes and secure environments, please get in touch for a confidential discussion

Related Jobs

View all jobs

Hybrid Cloud & Data DevOps Consultant

Cloud Consultant

Data Centre Mechanical Project Lead

HCX Consultant

Wing Airframe DMU Integration Specialist

Graduate Consultant - Mechanical Engineering

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.

New Edge Computing Employers to Watch in 2026: UK and Global Companies Shaping Edge Innovation

Edge computing is transforming how data is processed by bringing compute power closer to the source of generation. With the proliferation of Internet of Things (IoT), real‑time analytics, autonomous systems, and latency‑sensitive applications, edge computing has moved from a niche discipline to a core component of digital infrastructure. In 2026, organisations that specialise in or heavily invest in edge computing are expanding their teams to build distributed systems, real‑time analytics platforms, and edge‑optimised AI. For professionals exploring opportunities on www.EdgeComputingJobs.co.uk , understanding which employers are growing, winning contracts, or securing investment is essential. This article highlights the new and high‑growth edge computing employers to watch in 2026, including UK startups, international innovators with a UK presence, and established companies shifting strategy toward edge.

How Many Edge Computing Tools Do You Need to Know to Get an Edge Computing Job?

If you’re trying to start or grow a career in edge computing, it can feel like you’re navigating a maze of tools, frameworks and platforms — Kubernetes, Docker, IoT frameworks, AWS Greengrass, Azure IoT Edge, OpenShift, TinyML toolkits, networking orchestration, real-time streaming frameworks, and on it goes. Scroll job boards and community forums and it’s easy to conclude that unless you master every buzzword imaginable, you’ll never get a job. Here’s the honest truth most edge computing hiring managers won’t necessarily say out loud: 👉 They don’t hire you because you know every edge computing tool — they hire you because you can solve real system problems using the tools you know. Tools matter, yes — but only when they support clear outcomes: reliable systems, performance at scale, secure edge deployments and real business value. So how many edge computing tools do you actually need to know to secure a job? For most edge computing roles, the answer is fewer than you think — and a lot clearer when sorted by fundamentals and roles. This guide shows you what matters, what doesn’t, and how to focus your time wisely so you come across as capable, confident and employable.

What Hiring Managers Look for First in Edge Computing Job Applications (UK Guide)

In today’s fast-evolving tech landscape, edge computing is one of the most sought-after fields — blending distributed systems, embedded systems, networking, cloud, IoT, data and real-time processing. But that also means hiring managers are highly selective. They scan applications fast and look for signals of relevance, impact, technical depth and real-world delivery long before they read every line. This guide demystifies what hiring managers in edge computing look for first in your application — so you can tailor your CV, portfolio and cover letter to jump out of the stack. Whether you’re targeting edge systems roles, embedded IoT edge jobs, edge-native data roles, edge platform engineering or edge-AI positions, this checklist will help you position your experience in a way hiring managers can trust immediately.