At a Glance
- Tasks: Design and develop data models for innovative data products and collaborate with analysts.
- Company: Join a forward-thinking company that values creativity and teamwork.
- Benefits: Attractive salary, flexible working options, and opportunities for skill development.
- Other info: Exciting career growth potential in a fast-paced, tech-driven industry.
- Why this job: Shape the future of data management and make a real impact in a dynamic environment.
- Qualifications: Experience in data modelling and familiarity with cloud platforms like AWS or Snowflake.
The predicted salary is between 50000 - 65000 £ per year.
Essential skills/knowledge/experience:
- Design conceptual, logical, and physical data models for data products
- Align data models with enterprise/federated data architecture standards
- Define data entities, relationships, and business rules
- Collaborate with Data Analysts to translate business requirements into structured data models
- Guide Data Engineers on data structures and data granularity requirements
- Ensure consistency, reusability, and scalability of models across domains
- Support governance, lineage, and metadata management practices
Key Responsibilities:
- Strong experience in data modelling (3NF, dimensional, Data Vault – good to have)
- Expertise in modelling for data lakes and modern cloud platforms
- Knowledge of AWS ecosystem, Snowflake, or similar storage platforms
- Familiarity with event-driven architectures (Kafka) and streaming data
- Strong understanding of data governance and metadata frameworks
Data Modeler in Edinburgh employer: Silicon Logic UK Ltd.
At Silicon Logic UK Ltd., we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous training opportunities and a supportive environment, particularly in our hybrid role tailored for the UK Public Sector. Join us to make a meaningful impact while enjoying the unique advantages of working with government clients and contributing to vital ITOM solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Modeler in Edinburgh
✨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 Silicon Logic UK Ltd.!
✨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 Modeler at Silicon Logic UK Ltd..
✨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 Silicon Logic UK Ltd..
✨Apply Directly through Our Website
When you find a suitable opening like Data Modeler at Silicon Logic UK Ltd., 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 Modeler in Edinburgh
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 Silicon Logic UK Ltd., 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 Silicon Logic UK Ltd.. 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 Silicon Logic UK Ltd.
✨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 Silicon Logic UK Ltd.!
✨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.
