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

Apply Now

Data Governance & Privacy Specialist

Hemel Hempstead
6 months ago
Applications closed

Related Jobs

View all jobs

Data Governance Consultant

Data Engineer (Databricks)

Python Data Engineer

Databricks Data Engineer

Data Engineer

Data Engineer

Data Governance & Privacy Specialist

Location: Hybrid (Occasional travel to offices in Hemel Hempstead so must be commutable)

Contract: Outside IR35

Day rate: Up to 650 per day

Duration: 6 months+

Start date: ASAP

Key skills: CIPT, Data Protection, Data Privacy

The successful candidate will need to be Certified Information Privacy Technologist (CIPT) and have collaborated with product teams to develop a robust privacy framework, ensuring compliance while supporting product/commercial goals.

You will thrive in a collaborative environment and possess both technical aptitude and business acumen. You should be passionate about responsible data usage and able to navigate the complexities of privacy regulations while enabling business innovation.

Key Responsibilities

Serve as the liaison between the Identity Squad and our Data Protection Officer, ensuring alignment on privacy policies and data usage requirements
Develop architectural frameworks and documentation that clearly define permissible uses of customer data
Translate complex privacy, ethical, and legal requirements into actionable product features and specifications
Work backwards from product requirements to determine necessary privacy, ethical, and legal safeguards
Design solutions to address problematic guest behaviour while maintaining compliance with data protection regulations
Create documentation and guidelines for appropriate collection, storage, processing, and retention of customer identity data
Collaborate with cross-functional teams to ensure data governance practices are understood and followed
Create control and monitoring mechanisms for complex data processes to ensure compliance and context for change as required
Required Skills & Experience

Strong understanding of data protection regulations (GDPR, etc.) and privacy best practices
Certified Information Privacy Technologist (CIPT)
Experience translating legal/compliance requirements into technical specifications
Knowledge of identity management systems and customer data architectures
Excellent communication skills with ability to explain complex concepts to technical and non-technical stakeholders
Problem-solving mindset with ability to balance business needs with compliance requirements
Experience in product development or product management preferred
Understanding of ethical considerations in data usage and privacy
Proven experience in practical use of data within a digital / online product to combat or measure fraud, poor behaviour, identity theft, crime or similar

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.

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

As we move into 2026, the data engineering jobs market in the UK is evolving fast. Almost every organisation is talking about AI, analytics & data-driven decision making – but behind all that sits the data engineering function. Cloud costs, complex data estates, stricter regulation & the explosion of AI workloads are all changing how data platforms are built & run. Some companies are tightening budgets & consolidating teams, while others are doubling down on modern data stacks, lakehouses & real-time pipelines. Whether you are a data engineering job seeker planning your next move, or a recruiter building data teams, understanding the key data engineering hiring trends for 2026 will help you stay ahead.

Data Engineering Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data engineering hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise reliable pipelines, modern lakehouse/streaming stacks, data contracts & governance, observability, performance/cost discipline & measurable business outcomes. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for platform‑oriented DEs, analytics engineers, streaming specialists, data reliability engineers, DEs supporting AI/ML platforms & data product managers. Who this is for: Data engineers, analytics engineers, streaming engineers, data reliability/SRE, data platform engineers, data product owners, ML/feature‑store engineers & SQL/ELT specialists targeting roles in the UK.

Why Data Engineering Careers in the UK Are Becoming More Multidisciplinary

For many years, data engineering in the UK meant designing pipelines, moving data between systems, and ensuring analysts had what they needed. Today, the field is expanding. With cloud platforms, machine learning, real-time analytics and the explosion of sensitive personal data, employers expect data engineers to do much more. Modern data engineering is no longer just about code and storage. It requires legal awareness, ethical judgement, psychological insight, linguistic clarity and human-centred design. These disciplines shape how data is collected, processed, explained and trusted. In this article, we’ll explore why data engineering careers in the UK are becoming more multidisciplinary, how law, ethics, psychology, linguistics & design now influence job descriptions, and what job-seekers & employers must do to thrive.