At a Glance
- Tasks: Manage and support analytics platforms like Databricks and Tableau for seamless operations.
- Company: Join Burberry, a leading luxury fashion brand with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Exciting role with potential for career advancement in a global brand.
- Why this job: Be part of a dynamic team that drives data analytics in a prestigious company.
- Qualifications: Experience with Databricks, Tableau, and ITIL processes is essential.
The predicted salary is between 63000 - 77000 £ per year.
Burberry is looking for a specialist in managing and supporting analytics platforms: Databricks, Tableau Plus, Alation, and BigEye. The role requires expertise in administering Databricks and Tableau, as well as knowledge of ITIL processes and interaction with MSP/partners to ensure the stable operation of services.
The candidate will be responsible for access control, environment configuration, monitoring, and timely execution of changes, as well as developing runbooks and documentation for platform resilience.
Data Platform Engineer - Databricks & Tableau, 24/7 Ops employer: Burberry
Burberry is an exceptional employer that fosters a vibrant and inclusive work culture, where employees are encouraged to develop their skills and grow within the luxury retail sector. Located on Sloane Street, our team thrives in a dynamic environment that values creativity and personalisation, offering unique opportunities to connect with a diverse clientele while upholding the brand's prestigious heritage. With a commitment to excellence and employee well-being, Burberry provides comprehensive benefits and a supportive atmosphere that makes every day rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer - Databricks & Tableau, 24/7 Ops
✨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 Burberry!
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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 Burberry.
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We think you need these skills to ace Data Platform Engineer - Databricks & Tableau, 24/7 Ops
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 Burberry, 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 Burberry. 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 Burberry
✨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 Burberry!
✨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.
