At a Glance
- Tasks: Develop and maintain data models while collaborating with cross-functional teams.
- Company: Join a national-scale organisation transforming its data capabilities.
- Benefits: Competitive salary, mentorship, and clear career progression into Data Architecture.
- Other info: Dynamic role with strong focus on data quality and modern practices.
- Why this job: Shape data foundations and make a real impact in a collaborative environment.
- Qualifications: Experience in data modelling and familiarity with cloud technologies.
The predicted salary is between 70000 - 90000 £ per year.
This is an opportunity to join a growing data function where modelling expertise is a key priority. You will play a central role in shaping data foundations while being supported on a clear pathway into Data Architecture, with exposure to modern cloud technologies and strong senior mentorship.
The Company
This organisation operates at national scale and is undergoing a significant data and digital transformation. They are investing heavily in their data platform, governance, and architecture capabilities to enable better decision making and long term impact. The data function is collaborative and well established, with a clear focus on improving data quality, consistency, and accessibility. You will join a team that values strong modelling standards and best practice.
The Role
- Develop and maintain conceptual, logical, and physical data models across a range of business domains
- Support and promote data architecture standards across multiple projects
- Collaborate with data engineers, analysts, and governance teams to ensure consistency and quality
- Contribute to the design and evolution of a modern cloud based data platform
- Help transition architectural knowledge from contractor support to an in house capability
- Work across concurrent initiatives, ensuring strong modelling practices are embedded
- Receive mentoring and support to progress into a Data Architect role
Your Skills and Experience
- Strong commercial experience in data modelling within complex environments
- Solid understanding of dimensional modelling approaches such as Kimball or Data Vault
- Experience working in modern cloud environments, ideally within Azure
- Exposure to technologies such as dbt, PySpark, Python, or similar tools
- Experience with data modelling tools is beneficial. Strong preference for Sparx Enterprise Architect, or similar tools such as Visual Paradigm, Archi, Cameo Systems Modeler, or Modelio
- Interest in progressing into Data Architecture and influencing wider data strategy
- Comfortable working with cross functional stakeholders and multiple teams
Data Modeller in Slough employer: Harnham
This organisation is an excellent employer, offering a dynamic work environment in London where data modelling expertise is highly valued. With a strong focus on employee growth, you will benefit from mentorship and a clear pathway to advance into Data Architecture, all while being part of a collaborative team dedicated to enhancing data quality and accessibility. The company's commitment to investing in modern cloud technologies and fostering a culture of innovation makes it an attractive place for professionals seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Modeller in Slough
✨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 Harnham!
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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 Harnham.
✨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 Harnham.
✨Apply Directly through Our Website
When you find a suitable opening like Data Modeller at Harnham, 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 Slough
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 Harnham, 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 Harnham. 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 Harnham
✨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 Harnham!
✨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.
