Netrolynx AI
Data Modeller
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About The Company
QBE Insurance is a leading global insurer committed to delivering innovative and reliable insurance solutions to clients across various sectors. With a presence in over 26 countries and a dedicated team of more than 13,000 professionals, QBE combines international expertise with a personalized approach to meet the diverse needs of its customers. The company prides itself on its strong values of integrity, collaboration, and customer-centricity, striving to become the most consistent and innovative risk partner in the industry. As part of its ongoing growth and transformation initiatives, QBE emphasizes leveraging data, analytics, and AI to enhance its services and operational efficiency, fostering a dynamic environment where talent and innovation thrive.
About The Role
QBE Europe is seeking a skilled Data Modeller to join its EO Data & Analytics team. This full-time, permanent position offers an exciting opportunity to contribute to the company's digital transformation by designing, governing, and evolving enterprise data models across key data domains such as finance, actuarial, and claims. The Data Modeller will play a crucial role in ensuring data consistency, scalability, and strategic alignment with QBE's broader business objectives. This role involves leading solution design activities, translating complex business requirements into scalable data solutions, and supporting the development of data architecture that underpins QBE’s data-driven initiatives. The ideal candidate will have a strong background in enterprise data modelling, solution architecture, and extensive experience working within large-scale transformation programmes. Flexibility in working arrangements is welcomed, and the role requires the right to work in the UK, with sponsorship considered at QBE’s discretion.
Qualifications
The successful candidate will possess extensive experience in enterprise data modelling, including familiarity with Data Vault, dimensional modelling, and other industry-standard techniques. A strong understanding of insurance data domains such as finance, claims, and actuarial processes is essential. Candidates should have a proven track record of contributing to solution architecture and solution design within large-scale data platforms and transformation projects. Hands-on data modelling skills are required, along with the ability to act as both a strategic advisor and a practical modeller. Excellent stakeholder engagement and communication skills are necessary to translate complex business requirements into robust data models and solutions. A background in data integration, data products, and analytical solution patterns will be advantageous, along with experience working in collaborative, multidisciplinary teams.
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Responsibilities
- Lead the design and ongoing maintenance of conceptual, logical, and physical data models, ensuring alignment with enterprise architecture standards.
- Contribute to end-to-end solution design activities, ensuring data architecture and data products meet business and technology objectives.
- Define, document, and enforce data modelling standards and best practices across the organization.
- Ensure consistency and alignment between current-state and target-state architecture, supporting strategic data initiatives.
- Maintain a deep understanding of curated and provisioned data layers, ensuring optimal data governance and quality.
- Identify and mitigate risks related to data design and solution implementation, minimizing rework and delays.
- Collaborate closely with architects, engineers, and other stakeholders to define scalable, maintainable solution patterns.
- Support the development of data solutions that support scalability, security, performance, and regulatory compliance.
- Enable faster delivery of data products and business capabilities by providing expert guidance on data modelling and architecture.
- Provide leadership and expertise in strategic programmes such as Insurance Core Platform (ICP) and Finance Modernisation, influencing solution design and impact assessments.
- Work with programme teams to evaluate solution options, assess impacts, and support design decisions to reduce risks and improve delivery timelines.
- Engage with stakeholders across business and technology functions, translating requirements into robust data models and solutions.
- Participate in architecture and design reviews, offering subject matter expertise on data structures, integration patterns, and information management practices.
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Benefits
QBE offers a comprehensive benefits package designed to support the well-being and development of its employees. This includes 30 days of holiday per year, with options to purchase additional days, promoting work-life balance. The company embraces flexible working arrangements, including part-time, job share, and compressed hours, to accommodate individual needs. Employees are automatically enrolled into the QBE pension plan, which provides employer contributions of 10% of basic salary, ensuring financial security for the future. Additionally, QBE invests in ongoing learning and development opportunities, fostering a culture of growth and innovation. The organization also provides various health and wellness programs, employee assistance services, and recognition initiatives to reward outstanding contributions.
Equal Opportunity
QBE Insurance is an equal opportunity employer committed to fostering an inclusive and diverse workplace. The company adheres to all applicable equal employment opportunity legislation in each jurisdiction where it operates. QBE values the unique perspectives and experiences of its employees and is dedicated to providing a work environment free from discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, gender, age, religion, sexual orientation, disability, or any other protected characteristic. The organization believes that diversity drives innovation and success, and actively promotes a culture of respect and inclusion throughout its global operations.
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