At a Glance
- Tasks: Design and optimise our data platform while collaborating with teams across the globe.
- Company: Join Credit Benchmark, a leader in data solutions with a global presence.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with a chance to work on modern data technologies.
- Why this job: Shape innovative data models and pipelines that drive impactful products.
- Qualifications: Strong SQL Server experience and a solid background in data architecture.
The predicted salary is between 59400 - 72600 £ per year.
Credit Benchmark is seeking a senior SQL Server database developer with a strong data-architectural background to own design, integrity, and performance of our data platform. You’ll work with Product Owners and Operations across London, Bangalore and New York, shaping models and pipelines for CB’s products.
You’ll contribute to modern data fabrics like Databricks and Snowflake, while maintaining core SQL Server systems.
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Senior Database Architect - SQL Server & Data Platform in London employer: CREDIT BENCHMARK LIMITED
Credit Benchmark is an exceptional employer that fosters a collaborative and innovative work culture, where your expertise in SQL Server and data architecture will be valued and impactful. With opportunities for professional growth and the chance to work alongside talented teams across vibrant locations like London, Bangalore, and New York, you will be part of a forward-thinking company dedicated to shaping the future of data solutions. Enjoy a supportive environment that encourages creativity and offers unique benefits tailored to enhance your career journey.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Database Architect - SQL Server & Data Platform in London
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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 CREDIT BENCHMARK LIMITED
✨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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✨Get Comfortable with Python and R
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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.
