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- Tasks: Create and manage data models for key insurance projects, ensuring accuracy and scalability.
- Company: Join Capgemini, a global leader in tech transformation with a focus on innovation.
- Benefits: Enjoy hybrid working, extensive training opportunities, and a commitment to employee wellbeing.
- Why this job: Make a real impact in the insurance sector while developing your skills in a supportive environment.
- Qualifications: Experience in data modelling and strong analytical skills are essential.
- Other info: Capgemini values diversity and offers inclusive recruitment practices.
The predicted salary is between 28800 - 48000 £ per year.
About the Job you are considering: We at Capgemini I&D Practice are looking to hire an experienced Data Modeller with strong expertise in the Insurance domain, who will be responsible for overseeing the planning, execution, and successful delivery of key projects. This is an urgent hiring requirement, and we encourage you to share your CV as soon as possible for immediate consideration.
Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.
Your Role:
- Analyze and translate business requirements into clear, scalable data models.
- Develop conceptual, logical, and physical data models aligned with business needs.
- Define and enforce database development and modeling standards across projects.
- Validate, review, and reconcile data models to ensure consistency and accuracy.
- Maintain and enhance existing models as business processes and data evolve.
- Collaborate closely with data architects, analysts, and business stakeholders.
- Support enterprise data management strategies and governance initiatives.
- Oversee data migration efforts from legacy systems to modern data platforms.
Your Skills:
- Strong experience as a Data Modeler with expertise in modeling techniques and design tools.
- Proficiency in conceptual, logical, and physical data modeling and database structures.
- Excellent analytical, problem-solving, and documentation capabilities.
- Strong communication and collaboration skills across technical and business teams.
- Knowledge of data governance, data quality, and metadata best practices.
- Understanding of ETL processes, data warehousing, and compliance considerations.
- Ability to mentor, guide, and educate team members on data management concepts.
- Academic foundation in Computer Science, IT, or related disciplines (Bachelor's/Master's).
We are a Disability Confident Employer: Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who declare they have a disability, and meet the minimum essential criteria for the role. Please opt in during the application process.
Make It Real (what does it mean for you): You'd be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy. You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more. You will be joining one of the World's Most Ethical Companies®, as recognised by Ethisphere® for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.
Why you should consider Capgemini: Growing clients' businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you'll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what's possible. It's why, together, we seek out opportunities that will transform the world's leading businesses, and it's how you'll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you'll build the skills you want. You'll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.
About Capgemini: Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.
Senior Data Modeller employer: Capgemini
Contact Detail:
Capgemini Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Modeller
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance domain and let them know you're on the lookout for a Senior Data Modeller role. You never know who might have the inside scoop on openings or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews! Brush up on your data modelling techniques and be ready to discuss how you've tackled challenges in past projects. We want to see your problem-solving skills in action, so have some examples up your sleeve.
✨Tip Number 3
Show off your passion for data! When you get the chance to chat with potential employers, express your enthusiasm for the insurance sector and how you can contribute to their goals. A little excitement goes a long way!
✨Tip Number 4
Don't forget to apply through our website! It's the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Modeller
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Modeller role. Highlight your experience in the insurance domain and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples of how you've applied your data modelling expertise in past roles. This helps us understand your problem-solving abilities and analytical skills.
Be Clear and Concise: When writing your application, keep it clear and to the point. Avoid jargon unless it's necessary, and make sure your key achievements stand out. We appreciate straightforward communication!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role as soon as possible. Don’t wait too long!
How to prepare for a job interview at Capgemini
✨Know Your Data Models
Make sure you brush up on your knowledge of conceptual, logical, and physical data models. Be ready to discuss how you've applied these in past projects, especially in the insurance domain. This will show that you understand the nuances of the role and can hit the ground running.
✨Showcase Your Collaboration Skills
Capgemini values strong communication and collaboration. Prepare examples of how you've worked with data architects, analysts, and business stakeholders in the past. Highlight any successful projects where teamwork was key to delivering results.
✨Understand Data Governance
Familiarise yourself with data governance, quality, and metadata best practices. Be prepared to discuss how you've implemented these in previous roles, as this knowledge is crucial for maintaining consistency and accuracy in data models.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills. Think about challenges you've faced in data modelling and how you overcame them. This will demonstrate your analytical capabilities and readiness to tackle real-world issues.
