At a Glance
- Tasks: Design and maintain data models that drive business success and technology needs.
- Company: Capgemini is a global leader in tech transformation, empowering businesses for a sustainable future.
- Benefits: Enjoy a collaborative culture, remote work options, and opportunities for personal growth.
- Why this job: Join a diverse team making a real impact through innovative data solutions and technology.
- Qualifications: Strong analytical skills and a passion for data; experience in data modelling is a plus.
- Other info: Be part of a company with a rich heritage and a commitment to sustainability.
The predicted salary is between 28800 - 42000 £ per year.
GET THE FUTURE YOU WANT! Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
YOUR ROLE
- To design, implement, and maintain conceptual, logical and physical data models that meet business data/process and technology requirements, by using designs and data strategies across a wide selection of platforms.
YOUR PROFILE
- Analysis and documentation of business requirements to translate them into data models aligned with organizational goals.
- Development and maintenance of data dictionaries and glossaries to define data elements and their usage.
- Analysis and monitoring of data usage patterns to identify opportunities for data optimisation and improvement, in partnership with the Data Base Administrator.
- Strategic architecture definition and product selection.
- Production of logical designs in relevant subject area (technical, data, operational), showing for example: processes, objects, data flows, inputs, stored data and outputs.
- Identifying common components.
- Implementation of architectures and identification, ownership and resolution of design related issues.
- Definition and documentation of data architectures standards, principles and strategies.
- Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
- Manage and mitigate risks through assessment, in support of the control and governance agenda.
- Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
- Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
- Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
- Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives.
- In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
- Adopt and include the outcomes of extensive research in problem solving processes.
- Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.
ABOUT CAPGEMINI
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Data Modeler employer: Capgemini
Contact Detail:
Capgemini Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeler
✨Tip Number 1
Familiarise yourself with the latest data modelling tools and technologies that are commonly used in the industry. Being well-versed in platforms like ERwin, IBM InfoSphere Data Architect, or Microsoft Visio can give you a competitive edge during discussions with potential employers.
✨Tip Number 2
Network with professionals in the data modelling field through platforms like LinkedIn. Engaging with industry groups and participating in discussions can help you gain insights into what companies like Capgemini are looking for in candidates.
✨Tip Number 3
Stay updated on the latest trends in data governance and architecture. Understanding how these concepts apply to business objectives will not only enhance your knowledge but also demonstrate your commitment to the role during interviews.
✨Tip Number 4
Prepare to discuss real-world examples of how you've optimised data usage or improved data models in previous roles. Being able to articulate your experience with specific metrics or outcomes can significantly strengthen your candidacy.
We think you need these skills to ace Data Modeler
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Modeler position. Tailor your application to highlight relevant experiences and skills that align with the job description.
Craft a Tailored CV: Create a CV that specifically addresses the key skills and experiences mentioned in the job description. Use keywords from the listing, such as 'data models', 'business requirements', and 'data optimisation' to ensure your CV stands out.
Write a Compelling Cover Letter: Your cover letter should not only express your enthusiasm for the role but also demonstrate how your background and skills make you a perfect fit. Mention specific projects or experiences that relate to data modelling and stakeholder collaboration.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial for a Data Modeler role.
How to prepare for a job interview at Capgemini
✨Understand Data Modelling Concepts
Make sure you have a solid grasp of conceptual, logical, and physical data models. Be prepared to discuss how you've applied these concepts in previous roles, as well as any specific tools or methodologies you've used.
✨Showcase Your Analytical Skills
Capgemini values analytical thought. Be ready to provide examples of how you've analysed business requirements and translated them into effective data models. Highlight any experience with data optimisation and improvement.
✨Demonstrate Collaboration Experience
Since the role involves working with various stakeholders, share instances where you've successfully collaborated with teams or individuals to achieve common goals. Emphasise your ability to build trusting relationships and influence outcomes.
✨Prepare for Problem-Solving Scenarios
Expect to be asked about how you approach problem-solving. Prepare to discuss specific challenges you've faced in data modelling and how you developed innovative solutions. This will showcase your critical thinking and interpretative skills.