At a Glance
- Tasks: Create and maintain data models using Azure Databricks for an insurance client.
- Company: Join a dynamic team in a leading insurance company based in London.
- Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and best practices.
- Why this job: Shape the future of data modelling while working with cutting-edge technology.
- Qualifications: Experience in data modelling and familiarity with Azure tools required.
The predicted salary is between 60000 - 80000 £ per year.
You can get further details about the nature of this opening, and what is expected from applicants, by reading the below.
Data Modelling - Data Design - Azure Databricks - London Hybrid (2 days onsite) I am looking for an experienced Data Modeller to join a busy team with an insurance client in London.
You will bring consistent modelling standards, governance, and clear design patterns across a Medallion Architecture built on Azure Databricks xgikmsk and Azure Data Factory.
You'll work closely with product owners, data archite...
Data Modeller in London employer: Henderson Scott
Henderson Scott is an excellent employer, offering a dynamic work environment in Glasgow that fosters collaboration and innovation. With a strong emphasis on employee growth, we provide opportunities for professional development and a hybrid working model that promotes work-life balance. Join us to be part of a team that values effective communication and impactful delivery in the realm of systems integration.
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We think this is how you could land Data Modeller in London
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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!
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How to prepare for a job interview at Henderson Scott
✨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!
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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!
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✨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.
