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

Apply Now

Data Security Engineer

Bristol
7 months ago
Applications closed

Related Jobs

View all jobs

Lead R Engineer / Data Scientist - Integrated Pest Management & Soil Science

Data Scientist

MLOps Engineer

Technical Architect - Data Science

Principal Data Scientist, AI Security Research

Data Scientist

Data Security Engineer

Bristol / Edinburgh

Up to £95,000 + great benefits

This business is undergoing a huge technology transformation and are looking for a Data Security Engineer to work with the data teams to ensure that all customer data is secure. The business is making data engineering central to understanding the customer journey, so a the successful Data Security Engineer will be working closely with leadership in both the Cyber and Data teams. This business is going through a big technology transformation programme that is estimated to take 3 -5 years. The successful Data Security Engineer will be part of this journey and have great technical exposure and the ability to rapidly progress.

Data Security Engineer

Duties and Responsibilities

The successful Data Security Engineer will:

  • Supportthe development and implementation of comprehensive data security strategies, policies and procedures.

  • Work with the Enterprise Security Architect to design and deploy security architectures for data protection, including encryption, access controls and data masking

  • Manage data encryption solutions to ensure the confidentiality and integrity of sensitive data.

  • Collaborate across the Security Team to develop and deliver encryption key management processes and systems.

  • Ensure security across the Data & Analytics technology stack consists primarily of: Oracle tools, Snowflake, Postgres, various AWS Services (SageMaker, Lambda, Step Functions, DMS, S3 etc.) in the AWS Cloud.

    Data Security Engineer – Your Background

    The ideal Data Security Engineer will have:

  • Experience in a similar role, in both leadership and Knowledge

  • 3+ years of experience in a hands-on Cyber Security focused role, primarily in the data security domain.

  • A strong & demonstratable knowledge of security frameworks, standards and regulations (NIST, GDPR for example).

  • Familiarity with cloud security principles and experience working with cloud platforms such as AWS and Snowflake.

  • A clear and demonstratable understanding of data science principles and practices.

  • Any security focussed experience with the use of AI Tooling within data science is welcome

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.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

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.

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.