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- Tasks: Design and implement data models for advanced analytics and AI/ML initiatives.
- Company: Leading digital consultancy transforming financial services and energy sectors.
- Benefits: Competitive salary, hybrid working, healthcare, and professional development opportunities.
- Why this job: Shape modern data ecosystems and make a real impact on global organisations.
- Qualifications: Experience in data modelling and strong communication skills with stakeholders.
- Other info: Join a collaborative team with excellent career progression in a dynamic environment.
The predicted salary is between 70000 - 88000 £ per year.
This leading digital consultancy drives transformation across the financial services and energy sectors, empowering global organisations to make smarter, data-driven decisions. With a strong culture of innovation and collaboration, this company's mission is to build modern data ecosystems that enable better business outcomes.
As part of the Data Architecture team, you will play a pivotal role in designing, developing, and implementing enterprise-level data models that power advanced analytics, reporting, and AI/ML initiatives. You'll lead the creation of frameworks and standards, ensuring consistency and excellence across all data projects while engaging with senior stakeholders to deliver impactful solutions.
As a Data Modeller, you will be involved in the following activities:
- Designing and implementing both relational (3NF) and dimensional (star/snowflake) data models for large-scale financial systems and analytical platforms.
- Working hands-on with ETL design, metadata management, and data cataloguing, ensuring robust data lineage and governance.
- Building standards and frameworks that define how data is structured and managed across multiple platforms.
- Collaborating closely with architects, data engineers, and analytics teams to ensure data models align with business and technical goals.
- Leveraging tools such as ERWin, Sparx, RSA, Visio, and handling semi-structured data formats (JSON, XML, Parquet).
The successful Data Modeller will have the following skills and experience:
- Proven experience in data modelling within consulting or financial services environments.
- Strong expertise in ERWin (or equivalent tools such as Sparx, RSA, Visio).
- Hands-on experience with relational and dimensional modelling methodologies.
- Understanding of ETL frameworks, metadata management, and data governance principles.
- Ability to communicate complex data concepts to senior stakeholders in client-facing settings.
Salary: depends on seniority and experience criteria
- £50,000-£67,000 for Mid-Level
- £70,000–£88,000 for Senior level
Hybrid working model – 3 days per week onsite in London, both in office and with client engagements
Comprehensive benefits package including healthcare, pension contribution, and wellness initiatives
Professional development and access to cutting-edge projects across financial services and energy domains
Opportunities for career progression within a well-established practice
Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.
Data Modeler - Harnham in London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeler - Harnham in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data modelling. Use real-life examples from your experience to showcase your skills and how they align with the company's goals.
✨Tip Number 3
Don’t just apply and forget! Follow up on your applications after a week or so. A quick email expressing your continued interest can keep you on their radar and show your enthusiasm for the role.
✨Tip Number 4
Make sure to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Data Modeler - Harnham in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Modeller role. Highlight your experience with data modelling, ETL frameworks, and any tools like ERWin or Sparx that you’ve used. We want to see how your skills align with what we’re looking for!
Showcase Your Projects: Include specific projects where you've designed and implemented data models. This gives us a clear picture of your hands-on experience and how you’ve contributed to previous teams. Don’t be shy about sharing your successes!
Keep It Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon unless it’s relevant. We appreciate a well-structured application that gets straight to the point without fluff.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It streamlines the process for us and ensures your application lands in the right hands. Let’s make it easy for both of us!
How to prepare for a job interview at Jobster
✨Know Your Data Models
Make sure you brush up on both relational and dimensional data modelling techniques. Be ready to discuss your experience with 3NF, star, and snowflake schemas, as well as how you've applied these in previous roles. This will show that you understand the core of what the company is looking for.
✨Familiarise Yourself with Tools
Get comfortable with ERWin, Sparx, RSA, and Visio before the interview. If you can, try to demonstrate your knowledge of these tools during the conversation. Mention specific projects where you’ve used them, as this will highlight your hands-on experience and technical skills.
✨Communicate Clearly
Since you'll be engaging with senior stakeholders, practice explaining complex data concepts in simple terms. Think about how you can convey your ideas clearly and concisely, as effective communication is key in client-facing settings.
✨Showcase Your Collaboration Skills
Be prepared to discuss how you've worked with architects, data engineers, and analytics teams in the past. Highlight any frameworks or standards you've helped create, as this demonstrates your ability to collaborate and contribute to a team-oriented environment.
