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- Tasks: Join us as a Data Modeller to shape data strategies and models for client-focused outcomes.
- Company: Aberdeen is the UK's leading Wealth & Investments group, dedicated to excellent client service.
- Benefits: Enjoy 40 days annual leave, 16% pension contribution, private healthcare, and flexible perks.
- Why this job: Be part of an agile team that values collaboration and continuous learning in a supportive environment.
- Qualifications: Experience with data modelling tools, SQL/Python proficiency, and knowledge of Snowflake & Azure required.
- Other info: We embrace diversity and offer a blended working approach for a balanced work-life experience.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
At Aberdeen, our ambition is to be the UK’s leading Wealth & Investments group.
Strengthening talent and culture is one of our strategic priorities. We strive to make Aberdeen a great place to work so that we can attract and retain the industry’s best talent.
Our people put our stakeholders at the heart of everything they do by helping us to make a positive difference to the lives of our clients, customers, colleagues, shareholders, and society.
We are focused on growing our direct and advised wealth platforms and repositioning our specialist asset management business to meet client demand. We are committed to providing excellent client service, supported by leading technology and talent.
Aberdeen comprises three businesses:
- Interactive Investor – the UK’s second largest direct‑to‑consumer investment platform, enabling individuals to plan, save, and invest in the way that works for them.
- Our Adviser business provides financial planning solutions and technology for UK financial advisers, enabling them to create value for their customers.
- Our Investments business is a specialist asset manager that focuses on areas where we have both strength and scale to capitalise on the key themes shaping the market, through either public markets or alternative asset classes.
About The Department
The Client Domain is responsible for shaping data capabilities that drive client‑focused outcomes. The department works closely with architects, technical leads, and business stakeholders to design, evolve, and communicate data models that underpin our digital and analytical solutions.
About The Role
We’re looking for a versatile and collaborative Data Modeller to join the Client Domain. This role is ideal for someone who thrives in agile environments, enjoys working across strategic and technical domains, and is passionate about shaping data capabilities that drive client‑focused outcomes.
Key Responsibilities
- Collaborate with architects and domain leadership to define scalable data strategies and models that support business objectives and future readiness.
- Identify opportunities to reuse and enhance existing data assets, ensuring compliance with governance, security, and regulatory standards.
- Design and maintain conceptual, logical, and physical data models, translating requirements into actionable specifications.
- Provide data insights and modelling support throughout the delivery lifecycle, participating in agile ceremonies.
- Engage with stakeholders to understand and address data needs, ensuring alignment with agile methodologies and technical solutions.
About The Candidate
The ideal candidate will possess the following:
- Experience with data modelling tools and techniques (e.g., ER/Studio, ERwin, UML, etc.).
- Proficiency in SQL/Python and data manipulation.
- Knowledge of Snowflake & Azure.
- Understanding of data architecture principles and data governance.
- Good understanding of database management, design best practices and enterprise‑level data architecture.
- Ability to communicate complex technical ideas clearly to non‑technical stakeholders.
- Strong communicator who can simplify complexity for diverse audiences.
- Thrives in agile, collaborative environments and enjoys continuous learning.
Salary
£700.00 – £750.00
Our Benefits
We offer 40 days’ annual leave, a 16% employer pension contribution, a discretionary performance‑based bonus where applicable, private healthcare and a range of flexible benefits – including gym discounts, season ticket loans and an employee discount portal.
Our Commitment to Disability Inclusion
We are proud to be a Disability Confident Committed employer. If you have a disability and would like to apply to one of our UK roles under the Disability Confident Scheme, please notify us by completing the relevant section in our candidate questionnaire. One of our team will reach out to support you through your application process.
We’re committed to providing an inclusive workplace where all forms of difference are valued and where we enforce fairness, transparency and meritocracy. If you need assistance with your application or a reasonable adjustment to interview arrangements, please let us know and we will assist.
Location
London, England, United Kingdom
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Data Modeller employer: aberdeen
Contact Detail:
aberdeen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeller
✨Tip Number 1
Familiarise yourself with the specific data modelling tools mentioned in the job description, such as ER/Studio and ERwin. Having hands-on experience or even completing a relevant online course can give you an edge during discussions.
✨Tip Number 2
Brush up on your SQL and Python skills, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects that involve data manipulation to showcase your abilities.
✨Tip Number 3
Understand the principles of data governance and architecture, as these are key components of the role. You might want to read up on best practices or case studies to discuss during your interview.
✨Tip Number 4
Prepare to demonstrate your communication skills by thinking of examples where you've simplified complex technical concepts for non-technical stakeholders. This will show your ability to bridge the gap between technical and business teams.
We think you need these skills to ace Data Modeller
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the key responsibilities and required skills for the Data Modeller position. Tailor your application to highlight how your experience aligns with these requirements.
Highlight Relevant Experience: When writing your CV and cover letter, focus on your experience with data modelling tools, SQL/Python proficiency, and any knowledge of Snowflake and Azure. Use specific examples to demonstrate your expertise.
Showcase Communication Skills: Since the role requires clear communication of complex ideas to non-technical stakeholders, include examples in your application that illustrate your ability to simplify technical concepts for diverse audiences.
Emphasise Agile Experience: Mention any experience you have working in agile environments. Highlight your collaborative skills and how you've contributed to team success in previous roles, as this is a key aspect of the position.
How to prepare for a job interview at aberdeen
✨Know Your Data Modelling Tools
Familiarise yourself with the data modelling tools mentioned in the job description, such as ER/Studio and ERwin. Be prepared to discuss your experience with these tools and how you've used them in past projects.
✨Demonstrate Agile Experience
Since the role thrives in agile environments, be ready to share examples of how you've successfully worked in agile teams. Highlight your participation in agile ceremonies and how you contributed to delivering client-focused outcomes.
✨Communicate Complex Ideas Simply
Practice explaining complex technical concepts in a straightforward manner. This is crucial for engaging with non-technical stakeholders, so think of examples where you've had to simplify data insights for diverse audiences.
✨Showcase Your Collaborative Spirit
Collaboration is key in this role. Prepare to discuss instances where you've worked closely with architects or business stakeholders to define data strategies. Emphasise your ability to engage with others and adapt to their needs.
