Data Protection Compliance & Governance

Cheap
8 months ago
Applications closed

Related Jobs

View all jobs

Head of Data, CDO, Data Governance, Professional Services, City London

Senior Data Engineer

Data Engineer – GCP/DSS

Snowflake Data Engineer

Senior Data Engineer x1/ Data Engineer x1 (Financial Services)

Lead Data Engineer / Architect – Databricks Active - SC Cleared

Your new role

PLEASE NOTE - SHORT DURATIONS OF PREVIOUS EMPLOYMENT WILL NOT BE CONSIDERED

UK ONLY - SPONSORSHIP IS NOT AVAILABLE

We are seeking a highly skilled Data Privacy and Compliance Manager to oversee our data privacy, compliance, IT governance, SDLC, and change management processes. The ideal candidate will ensure that our data management practices comply with regulatory requirements and industry standards, while also supporting the development and implementation of IT governance frameworks and change management strategies within financial services.
Key Responsibilities:

Data Privacy and Compliance:
Develop and implement data privacy policies and procedures.
Ensure compliance with GDPR and other relevant data protection regulations.
Conduct regular audits and assessments to identify and mitigate data privacy risks.
Negotiating vendor contracts and SLAs.
Provide training and guidance on data privacy best practices.
IT Governance:
Establish and maintain IT governance frameworks and policies.
Monitor compliance with IT governance standards and regulations.
Collaborate with IT and business stakeholders to align IT governance initiatives with business objectives.
Conduct regular reviews and audits of IT systems and processes.
Software Development Life Cycle (SDLC):
Oversee the implementation of SDLC processes and best practices.
Ensure that software development projects adhere to established standards and methodologies.
Conduct regular reviews and assessments of SDLC processes to identify areas for improvement.
Provide training and support to development teams on SDLC best practices.
Change Management:
Develop and implement change management strategies and processes.
Ensure that changes to IT systems and processes are managed effectively and efficiently.
Conduct impact assessments and risk analyses for proposed changes.
Provide training and support to stakeholders on change management best practices.Qualifications:

Bachelor's or Master's degree in information management, Computer Science, Business Administration, or a related field.
Extensive experience in data privacy, compliance, IT governance, SDLC, and change management.
Strong understanding of GDPR and other data protection regulations.
Excellent leadership, communication, and stakeholder management skills.
Ability to influence and drive change in a complex organisational environment.
Certification in data governance or related areas (e.g., CIPPE, CIPM, CDMP) is a plus.
Skills:

Strong analytical and problem-solving skills.
Disaster Recovery.
Excellent organisational and project management abilities.
Proficiency in data management and IT governance tools and technologies.
Ability to work collaboratively with cross-functional teams.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

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.

Maths for Data Engineering Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data engineering jobs in the UK, maths can feel like a vague requirement hiding behind phrases like “strong analytical skills”, “performance mindset” or “ability to reason about systems”. Most of the time, hiring managers are not looking for advanced theory. They want confidence with the handful of maths topics that show up in real pipelines: Rates, units & estimation (throughput, cost, latency, storage growth) Statistics for data quality & observability (distributions, percentiles, outliers, variance) Probability for streaming, sampling & approximate results (sketches like HyperLogLog++ & the logic behind false positives) Discrete maths for DAGs, partitioning & systems thinking (graphs, complexity, hashing) Optimisation intuition for SQL plans & Spark performance (joins, shuffles, partition strategy, “what is the bottleneck”) This article is written for UK job seekers targeting roles like Data Engineer, Analytics Engineer, Platform Data Engineer, Data Warehouse Engineer, Streaming Data Engineer or DataOps Engineer.

Neurodiversity in Data Engineering Careers: Turning Different Thinking into a Superpower

Every modern organisation runs on data – but without good data engineering, even the best dashboards & machine learning models are built on sand. Data engineers design the pipelines, platforms & tools that make data accurate, accessible & reliable. Those pipelines need people who can think in systems, spot patterns in messy logs, notice what others overlook & design elegant solutions to complex problems. That is exactly why data engineering can be such a strong fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a data engineering career, you might have heard comments like “you’re too disorganised for engineering”, “too literal for stakeholder work” or “too distracted for complex systems”. In reality, the traits that can make traditional office environments hard often line up beautifully with data engineering work. This guide is written for data engineering job seekers in the UK. We’ll cover: What neurodiversity means in a data engineering context How ADHD, autism & dyslexia strengths map to common data engineering tasks Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data engineering – & how to turn “different thinking” into a genuine professional superpower.

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.