Information Asset Register Lead

Reading
2 weeks ago
Create job alert

Salary

Offering up to £69,840 per annum depending on experience .

Division

Digital Transformation

Location

Hybrid - Clearwater Court - RG1 8DB

Description

As Information Asset Register Lead, you will need to collaborate with the Head of Data Management and the Data Governance Manager to ensure data quality, compliance, and accessibility. In addition, you will play a pivotal role in educating other team members on the utilization of the Information Asset Register and in shaping the evolution of data governance strategies and policies.

What you'll be doing as an Information Asset Register Lead

Creating and maintaining a comprehensive catalogue of all data sources within the organisation using Azure Purview.
Classify data based on its information type, sensitivity, quality and business value.
Work with IT and security teams to set up appropriate access controls and monitor data usage to ensure compliance with data privacy regulations.
Collaborate with various stakeholders, including data owners, data stewards, IT teams and business units.
Provide training and support to other users of Azure Purview in the organisation.
Enforce data governance policies by setting up automated data validation and policy enforcement in Azure Purview.Base Location: Reading - Hybrid.

Working Pattern: 36 Hours.

What you should bring to the role

We want to bring together a team of brilliant tech minds with game-changing ideas. We're looking for people who will help us reimagine the way we work and the way we get things done:

A truly digital mindset. Open to collaboration. Open to risk. Open to new ways of doing things.
Obsessed with data. Obsessed with excellence.
People who think and behave differently to the way we do. People who don't want to just be another cog in the machine.
Experience with Azure Purview, including data cataloguing, data classification, data lineage tracking and policy enforcement.
Experience with data security principles and data privacy regulations.
Familiarity with other data management tools (Power BI, SQL Server).
Experience in managing data-related projects, coordinating with different teams and driving project deliverables.What's in it for you?

Competitive salary of up to £69,840 per annum, depending on experience.
Annual Leave - 26 days holiday per year increasing to 30 with the length of service (plus bank holidays).
Generous Pension Scheme through AON.
Access to lots of benefits to help you take care of you and your family's health and well-being, and your finances - from annual health MOTs and access to physiotherapy and counselling to Cycle to Work schemes, shopping vouchers and life assurance

Related Jobs

View all jobs

Orthopaedic Scrub Nurse/ODP

Anaesthetic/Recovery Practitioner

Theatre Nurse/ODP Anaesthetics & Recovery

Anaesthetic Practitioner RN/ODP

Interim Head of Data & Analytics

Application Developer

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

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

Quantum-Enhanced AI in Data Engineering: Reshaping the Big Data Pipeline

Data engineering has become an indispensable pillar of the modern technology ecosystem. As companies gather massive troves of data—often measured in petabytes—the importance of robust, scalable data pipelines cannot be overstated. From ingestion and storage to transformation and analysis, data engineers stand at the forefront of delivering reliable data for analytics, machine learning, and critical business decisions. Simultaneously, the field of Artificial Intelligence (AI) has undergone a revolution, transitioning from niche research projects to a foundational tool for everything from predictive maintenance and fraud detection to customer experience personalisation. Yet as AI models grow in complexity—think large language models with hundreds of billions of parameters—the data volumes and computational needs escalate dramatically. The industry finds itself at an inflection point: traditional computing systems may eventually hit performance ceilings, even when scaled horizontally with thousands of nodes. Enter quantum computing, a nascent yet rapidly progressing technology that leverages quantum mechanics to tackle certain computational tasks exponentially faster than classical machines. While quantum computing is still maturing, its potential to supercharge AI workflows—often referred to as quantum-enhanced AI—has piqued the curiosity of data engineers and enterprises alike. This synergy could solve some of the biggest headaches in data engineering: accelerating data transformations, enabling more efficient analytics, and even facilitating entirely new kinds of modelling once believed to be intractable. In this article, we explore: How data engineering has evolved to support AI’s insatiable appetite for high-quality, well-structured data. The fundamentals of quantum computing and why it may transform the data engineering landscape. Potential real-world applications for quantum-enhanced AI in data engineering—from data ingestion to machine learning pipeline optimisation. Emerging career paths and skill sets needed to thrive in a future where data, AI, and quantum computing intersect. Challenges, ethical considerations, and forward-looking perspectives on how this convergence might shape the data engineering domain. If you work in data engineering, are curious about quantum computing, or simply want to stay on the cutting edge of technology, read on. The next frontier of data-driven innovation may well be quantum-powered.

Data Engineering Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data. It’s the critical lifeblood of every forward-thinking organisation, fueling everything from strategic decision-making to real-time analytics. As data volumes skyrocket and technologies mature, the UK has distinguished itself as a frontrunner in data innovation. A robust venture capital scene, government-backed initiatives, and a wealth of academic talent have created fertile ground for data-centric start-ups across the country. In this Q3 2025 Investment Tracker, we’ll delve into the newly funded UK start-ups shaping the future of data engineering. More importantly, we’ll explore the rich job opportunities that have emerged alongside these funding announcements. From building scalable ETL (Extract, Transform, Load) pipelines to architecting data warehouses and implementing advanced data governance frameworks, data engineers, architects, and analysts have an incredible array of roles to pursue. If you’re eager to elevate your career in data engineering, read on for insights into the most dynamic start-ups, their fresh capital injections, and the skill sets they’re hungry for.

Portfolio Projects That Get You Hired for Data Engineering Jobs (With Real GitHub Examples)

Data is increasingly the lifeblood of businesses, driving everything from product development to customer experience. At the centre of this revolution are data engineers—professionals responsible for building robust data pipelines, architecting scalable storage solutions, and preparing data for analytics and machine learning. If you’re looking to land a role in this exciting and high-demand field, a strong CV is only part of the puzzle. You also need a compelling data engineering portfolio that shows you can roll up your sleeves and deliver real-world results. In this guide, we’ll cover: Why a data engineering portfolio is crucial for standing out in the job market. Choosing the right projects for your target data engineering roles. Real GitHub examples that demonstrate best practices in data pipeline creation, cloud deployments, and more. Actionable project ideas you can start right now, from building ETL pipelines to implementing real-time streaming solutions. Best practices for structuring your GitHub repositories and showcasing your work effectively. By the end, you’ll know exactly how to build and present a portfolio that resonates with hiring managers—and when you’re ready to take the next step, don’t forget to upload your CV on DataEngineeringJobs.co.uk. Our platform connects top data engineering talent with companies that need your skills, ensuring your portfolio gets the attention it deserves.