At a Glance
- Tasks: Own and optimise the Snowflake platform while ensuring security and performance.
- Company: Join a forward-thinking data and analytics team in London.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on innovation and career advancement.
- Why this job: Be a key player in shaping a modern data platform with real impact.
- Qualifications: 3+ years of Snowflake administration experience and strong collaboration skills.
The predicted salary is between 115000 - 115000 £ per year.
Location: London (Hybrid)
Employment Type: Permanent
Salary: Up to £115,000 per annum
About the Role
We are looking for an experienced Snowflake Platform Engineer to join our Data & Analytics Engineering team and take ownership of our Snowflake data platform. This is a hands-on role focused on platform administration, security, access management, performance optimisation, and governance. You will act as the Snowflake subject matter expert, ensuring the platform remains secure, scalable, cost-effective, and available to support business-critical data and analytics workloads. Working closely with Data Engineering, Analytics, Cloud Infrastructure, and Security teams, you will play a key role in shaping and evolving our modern data platform.
What You'll Do
- Own the administration, security, and optimisation of the Snowflake platform.
- Manage access controls, governance, and compliance across the data estate.
- Monitor platform performance, reliability, and cost efficiency.
- Deliver platform improvements through automation and Infrastructure as Code.
- Collaborate with engineering and security teams to support data platform growth and innovation.
Essential Skills & Experience
3+ years' hands-on Snowflake administration experience.
Platform Engineer - Snowflake in London employer: Robert Walters
Join a forward-thinking company in London that values innovation and collaboration, offering a dynamic work culture where your expertise as a Snowflake Platform Engineer will be recognised and rewarded. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work alongside talented professionals in a hybrid environment that promotes work-life balance. Enjoy competitive salary packages and the unique advantage of contributing to a cutting-edge data platform that drives business success.
StudySmarter Expert Advice🤫
We think this is how you could land Platform Engineer - Snowflake in London
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We think you need these skills to ace Platform Engineer - Snowflake 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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Craft a Tailored Cover Letter:For a full-time role at Robert Walters, 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 Robert Walters. 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!
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✨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!
✨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.
