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- Tasks: Design and implement data models for advanced analytics and AI initiatives.
- Company: Leading digital consultancy transforming financial services and energy sectors.
- Benefits: Hybrid working model, comprehensive benefits, and professional development opportunities.
- Why this job: Shape the future of data-driven decisions in a collaborative environment.
- Qualifications: Experience in data modelling and strong communication skills with stakeholders.
- Other info: Exciting career progression within a well-established practice.
The predicted salary is between 28800 - 42000 £ 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 — and as part of the Data Architecture team, your work will directly shape that vision.
As a Data Modeller, 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.
Specifically, you can expect to be involved in the following:
- 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.
The successful Data Modeller will receive the following benefits:
- Salary: depends on seniority and experience criteria.
- 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 in England employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeler in England
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data modelling game. Building relationships can open doors that a CV just can’t.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of your data models or projects you’ve worked on. This gives potential employers a tangible sense of what you can do and how you think.
✨Ace the Interview
Prepare for those interviews by brushing up on common data modelling questions and scenarios. Practice explaining complex concepts in simple terms, as you’ll need to communicate effectively with senior stakeholders.
✨Apply Through Us!
We’ve got your back! Apply for the Data Modeller position through our website to ensure your application gets the attention it deserves. Plus, we can provide AI-powered advice to help you stand out!
We think you need these skills to ace Data Modeler in England
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!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data modelling and how your previous experiences have prepared you for this role. Let us know what excites you about working with our team at StudySmarter.
Showcase Your Projects: If you've worked on relevant projects, don’t hesitate to mention them! Whether it's designing data models or collaborating with stakeholders, we love to see real examples of your work. This helps us understand your hands-on experience better.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Harnham
✨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
Since the role involves tools like ERWin, Sparx, and Visio, it’s a good idea to get comfortable with them before the interview. If you’ve used similar tools, be prepared to explain how you adapted your skills to meet project needs. This will demonstrate your technical proficiency and adaptability.
✨Communicate Clearly
You’ll need to convey complex data concepts to senior stakeholders, so practice explaining your past projects in simple terms. Use examples that highlight your ability to bridge the gap between technical details and business outcomes. This will showcase your communication skills and understanding of the business context.
✨Engage with the Company’s Mission
Research the company’s mission to drive transformation in financial services and energy sectors. Think about how your work as a Data Modeller can contribute to their goals. Showing that you align with their vision will make you a more attractive candidate and demonstrate your enthusiasm for the role.
