Principal Engineer

W Talent
City of London, City and County of the City of London
8 months ago
Applications closed
Posted
8 Sep 2025 (8 months ago)

Are you a hands-on engineer passionate about building advanced cybersecurity analytics capabilities? Join a global Cybersecurity R&D team that blends software engineering, data science, and threat intelligence to create innovative solutions for one of the world's largest and most complex technology estates.

We're looking for a Principal Engineer to lead the technical delivery of cutting-edge security analytics platforms and services, drive innovation, and help shape the future of cyber defence at scale.

🔍 What You'll Do

🧠 Software Engineering & Architecture

Design, build, and scale custom cybersecurity applications, APIs, and data-driven tools.

Engineer analytics pipelines and machine learning services in cloud environments (Azure preferred).

Guide architectural decisions to ensure performance, scalability, and maintainability.

Provide hands-on support for critical system triage and rapid response development.

🗃 Data & Analytics Engineering

Build and automate data pipelines, delta tables, and reusable datasets to support a wide range of security use cases.

Lead data infrastructure initiatives and set best practices for analytics engineering.

🔬 R&D & Innovation

Drive the prototyping and development of novel AI/ML capabilities for threat detection, anomaly analysis, and security automation.

Explore cutting-edge tools and methodologies to maintain a defensive advantage against evolving threats.

🛠 Rapid Response & Collaboration

Work closely with security operations, data science, and engineering teams to address urgent threats or vulnerabilities.

Act as a technical leader across cross-functional delivery squads.

✅ What We're Looking For

Strong background in software engineering, ideally full stack with focus on cybersecurity tooling.

Experience with cloud-native architectures (Azure, AWS, or GCP) and building scalable applications.

Familiarity with cybersecurity disciplines such as network/cloud security, cryptography, malware analysis, intrusion detection, threat intel, or red/blue teaming.

Proficiency in Python and the data science ecosystem (e.g. Pandas, NumPy, Jupyter, etc).

Experience with Databricks, Synapse, or similar analytics platforms.

Strong data engineering skills including RDBMS (PostgreSQL, MySQL) and NoSQL (Cassandra, Elasticsearch, etc).

Demonstrated leadership in setting engineering standards and mentoring junior engineers.

Excellent communication skills, capable of translating complex technical ideas into actionable insights.

🎓 Bonus Points For:

Degree in Computer Science, Engineering, Data Science, or related field.

Azure certifications (e.g. Developer Associate, Data Engineer, Solutions Architect).

Experience with offensive/defensive cyber tools, threat modelling, or applied machine learning in security.

💡 Why Join?

Build mission-critical software that defends against real-world cyber threats.

Work alongside world-class experts in security, analytics, and AI.

Tackle technically complex challenges at scale in a high-impact environment.

Contribute to a team pushing the boundaries of Cybersecurity R&D and innovation

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 Edge Computing Jobs in the UK (2026 Guide)

Advertising edge computing jobs in the UK requires a different approach to most technical hiring. Edge computing sits at the intersection of embedded systems, networking, cloud infrastructure and real-time data processing — and the professionals who specialise in it are a small, highly technical community not well served by general job boards. Candidates with genuine edge and IoT expertise are rarely browsing general platforms, and roles in this space are frequently misunderstood or miscategorised by non-specialist recruiters. This guide, published by EdgeComputingJobs.co.uk, covers where to advertise edge computing 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 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.