Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Architect

Reading
7 months ago
Applications closed

Related Jobs

View all jobs

Lead Data & Machine Learning Architect

Data Science Manager - Marketing & Customer Generative AI Enterprise Architect

Lead Data & Machine Learning Architect

Lead Data & Machine Learning Architect

Data Scientist

Data Scientist Belfast, Northern Ireland, United Kingdom

Data Architect (Snowflake, AI, Machine Learning, Data Strategy, Data Roadmaps)

3 Month Contract

Reading/ London (Hybrid)

£550-£600/day (Inside IR35)

A Data Architect needed with proven hands-on experience with Snowflake, AI, Machine Learning, AWS, Data Strategy, and Data Roadmaps for a fantastic contract opportunity in Reading/London.

On and off occasional travel required to the London office, likely 1-2 times per week.

A chance to work with an established global Digital, IT and Network Services Consultancy.

Key skills and experience:

Proven hands-on experience with Snowflake, AWS, Tableau, Erwin, Kafka, Striims, Advanced Analytics,

Experience with Snowflake, AI, Machine Learning, AWS, Data Strategy, and Data Roadmaps

Data transformation & optimization of infrastructure to support advanced analytics, AI, and machine learning

Migrate from legacy systems to modern, cloud-based data platforms, optimizing storage, integration, & access to improve performance

Expertise in managing industry-level data, developing strategic frameworks, and designing comprehensive Data Roadmaps is required.

Proven experience in developing and executing data strategies.

Expertise in data governance, privacy regulations, and security standards.

Proficient in data analysis and business intelligence tools (e.g., Power BI, Tableau).

Strong background in data modeling, database management, and ETL processes.

Familiar with cloud platforms (AWS, Azure, Google Cloud) and big data technologies.

Relevant certifications: CDMP, CBIP, Google Cloud Professional Data Engineer).

IT Consultancy, Telecoms domain experience is desirable

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.

Jobs

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

🍪 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.