Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and maintain data architecture for Ageas, focusing on data warehousing and analytics.
- Company: Join Ageas, a leading insurance provider committed to data-driven decision-making.
- Benefits: Enjoy hybrid work options and a competitive salary of ÂŁ87,000.
- Why this job: Be part of a dynamic team shaping data systems that drive business success.
- Qualifications: Bachelor’s or Master’s in Computer Science or related field; experience in data architecture required.
- Other info: Contract until July 2026; applications close on 11th June.
The predicted salary is between 52000 - 104000 ÂŁ per year.
The Data Architect will be responsible for designing, developing and maintaining aspects of Ageas’ data architecture as directed by the Lead Data Architect, particularly in the context of data warehousing and data analytics systems. This role will help ensure that Ageas’ data systems are robust, scalable and aligned with business objectives. The ideal candidate will have a background in data architecture, data engineering and data modelling, with experience of enabling data-driven decision-making across the organisation.
Main Responsibilities:
- Collaborate with data project teams to implement data architecture policies and procedures in the context of Ageas’ data management processes.
- Create and maintain “as is” data architecture blueprints that reflect Ageas’ existing data systems and platforms.
- Collaborate with IT, business units and external partners to identify and document business data needs.
- Design and implement “to be” data architecture blueprints that will meet Ageas’ business data needs and foster data quality and integrity across Ageas data systems and platforms.
- Develop and maintain data models and data flow diagrams and design data integration processes.
Skills and experience:
- Proven experience in data architecture, data engineering and data modelling.
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- Proficiency in designing scalable and efficient data architectures to meet business requirements.
- Expertise in creating and maintaining data models, with experience using data modelling tools such as Erwin.
- Experience with data integration techniques and tools.
To find out more about this role and for information please contact Sarah Daines OR Simon McGinnes. Alternatively, click on the “Apply Button” to be considered.
Data Architect employer: Ageas
Contact Detail:
Ageas Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Familiarise yourself with Ageas’ data architecture and analytics systems. Understanding their current frameworks and challenges will help you demonstrate how your skills can directly contribute to their goals during discussions.
✨Tip Number 2
Network with professionals in the data architecture field, especially those who have experience with Ageas or similar companies. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented data architecture solutions. Be ready to explain your thought process, the tools you used, and the outcomes, as this will showcase your practical experience and problem-solving skills.
✨Tip Number 4
Stay updated on the latest trends and technologies in data architecture and engineering. Being knowledgeable about emerging tools and methodologies will not only impress the hiring team but also show your commitment to continuous learning in this fast-evolving field.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Architect position. Familiarise yourself with data architecture, data engineering, and data modelling concepts to tailor your application effectively.
Tailor Your CV: Highlight your relevant experience in data architecture and engineering. Use specific examples that demonstrate your ability to design scalable data systems and your proficiency with data modelling tools like Erwin.
Craft a Compelling Cover Letter: Write a cover letter that connects your skills and experiences to the job description. Emphasise your collaborative work with project teams and your understanding of business data needs, showcasing how you can contribute to Ageas’ objectives.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail, which is crucial for a role focused on data integrity and quality.
How to prepare for a job interview at Ageas
✨Understand the Role
Make sure you have a clear understanding of the Data Architect role and its responsibilities. Familiarise yourself with data architecture, data engineering, and data modelling concepts, as well as Ageas' specific needs in these areas.
✨Showcase Your Experience
Prepare to discuss your previous experience in data architecture and how it aligns with the requirements of the role. Be ready to provide examples of projects where you've designed scalable data architectures or implemented data integration processes.
✨Ask Insightful Questions
During the interview, ask questions that demonstrate your interest in the company and the role. Inquire about Ageas' current data systems, challenges they face, and how the Data Architect can contribute to their data-driven decision-making.
✨Demonstrate Collaboration Skills
Highlight your ability to work collaboratively with IT, business units, and external partners. Share examples of how you've successfully collaborated on data projects and how you can help implement data architecture policies at Ageas.
