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

Nominate & Attend

Data Security Engineer

Bristol
2 months ago
Applications closed

Related Jobs

View all jobs

Security Data Engineer

Information Security Data Engineer

Data Engineer (Security Clearance)

Contract Data Engineer - eDV Cleared

Experienced Network Security Engineer | Technology-Driven Quantitative Trading Firm

Experienced Network Security Engineer | Technology-Driven Quantitative Trading Firm

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
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.

Careers

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.

Jobs

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Careers Jobs

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

🍪 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.