2 of 2 Remote Data Security Jobs in Nottingham

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people … Learn more at experianplc.com. Internal Grade E Job Description As a Cyber Defence Analyst, you will join the Cyber Fusion Center, performing in-depth analysis, assessment, and response to security threats by following documented policies to meet Service Level Goals. The team provides global 24x7 security operations and monitoring for cybersecurity events affecting Experian. You will be a … the first line of defence in Experian's broader incident response and incident management departments, responsible for receiving and prioritizing cybersecurity alerts, including being the dedicated contact for potential security incidents reported by users (e.g., Experian employees). Depending on the results of assessment, this team is then responsible for investigating, containing, eradicating, and recovering from events falling in More ❯

Job Title: Data Engineer Location: Hybrid Contract Type: Permanent/Full-Time About the Role Are you passionate about technology and eager to make a real impact? At Buzz Bingo, we’re looking for a Data Engineer who thrives on innovation and enjoys working across a diverse technology stack. The systems you’ll support underpin both our in … club and online customer experiences, giving you the opportunity to influence how thousands of people interact with Buzz Bingo every day. What You’ll Do Data Pipeline Development: Design, implement, and maintain robust ETL/ELT pipelines for ingesting and transforming data from multiple sources. Data Modelling: Create and maintain models that support analytics and reporting needs … ensuring data integrity and consistency. Database Management: Administer and optimize relational databases for efficient storage and retrieval of large datasets. Collaboration: Work closely with software engineers, analysts, and business teams to deliver secure, reusable, and efficient data solutions. Data Quality Assurance: Implement checks and monitoring processes to ensure accuracy and reliability. Documentation: Maintain detailed technical documentation for More ❯