At a Glance
- Tasks: Develop and maintain data models to support key business initiatives.
- Company: Join a large, regulated organisation focused on modernising data platforms.
- Benefits: Up to £65,000 salary, hybrid working, and clear progression into Data Architecture.
- Other info: Collaborative team environment with mentorship from experienced leaders.
- Why this job: Shape data standards and influence how data is used across the business.
- Qualifications: Experience in data modelling and familiarity with cloud platforms.
The predicted salary is between 72000 - 88000 £ per year.
This is a rare opportunity to join an organisation undertaking a major data and digital transformation, with a clear path from data modelling into data architecture. You will step into a role designed for long-term growth, working closely with senior architects and influencing how data is structured and used across the business.
The Company
They are a large, highly regulated organisation responsible for maintaining professional standards across a significant workforce in the UK. With a strong focus on public impact, they are investing heavily in modernising their data platforms, governance, and architecture. Their data function plays a critical role in driving informed decision-making and improving organisational outcomes. You will join a collaborative, forward-thinking team committed to building scalable and robust data solutions.
The Role
- Develop and maintain conceptual, logical, and physical data models to support key business initiatives
- Contribute to the design and evolution of data architecture standards and best practices
- Work across multiple projects, ensuring consistency in modelling approaches and data structures
- Collaborate with data engineers, analysts, and governance teams to deliver high-quality data solutions
- Support the transition towards modern, cloud-based data platforms and architectural frameworks
- Engage with stakeholders to translate business requirements into structured data models
- Learn and develop towards a Data Architect role through mentoring and hands-on experience
Your Skills and Experience
- Strong commercial experience in data modelling across enterprise environments
- Experience with data modelling methodologies such as dimensional modelling, Kimball, or Data Vault
- Exposure to modern cloud data platforms, ideally within the Microsoft ecosystem
- Familiarity with tools such as DBT, Python, or PySpark is beneficial
- Experience working in data transformation or modernisation programmes
- Understanding of architecture principles or a clear interest in developing into a Data Architect
- Confidence engaging with both technical and non-technical stakeholders
What They Offer
- Salary up to £65,000 with flexibility for highly relevant experience
- Hybrid working model with a central London office location
- Clear progression pathway into Data Architecture
- Mentorship from experienced architecture leadership
- Opportunity to shape data standards within a large-scale organisation
- Collaborative team environment with strong cross-functional exposure
How to Apply
If you are looking to strengthen your data modelling expertise and move towards a Data Architect career, please apply with your CV for consideration.
Data Modeller in London employer: Jobiqo
Bromley Council is an exceptional employer, dedicated to fostering a supportive and inclusive work environment where employees can thrive. With a strong commitment to professional development, flexible working arrangements, and a generous benefits package, including a local government pension scheme and unique discounts, the Council prioritises employee well-being and career growth. Located in the vibrant Bromley Civic Centre, you will be part of a team that plays a crucial role in shaping the future of the borough while enjoying the balance of urban and suburban life.
StudySmarter Expert Advice🤫
We think this is how you could land Data Modeller in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Jobiqo!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Modeller at Jobiqo.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Jobiqo.
✨Apply Directly through Our Website
When you find a suitable opening like Data Modeller at Jobiqo, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Modeller in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Jobiqo, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Jobiqo. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Jobiqo
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Jobiqo!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
