Data Security Engineer

Bristol

9 months ago

Applications closed

Related Jobs

View all jobs

Data Engineer (Governance)

Security Engineer III - Data Engineer

Security Data Engineer

Security Data Engineer - DDoS & Cloud Security (Terraform)

Data Engineer - Security Cleared|Live Monitoring Dashboards

VP, Security Data Engineering & Databricks Pipelines

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.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jan 24, 2026

Education

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

Jan 18, 2026

Careers Jobs

Machine Learning Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

Jan 13, 2026

Jobs

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.