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For Companies At a Glance
- Tasks: Design and optimise data platforms to enhance decision-making and analytics.
- Company: Leading global hospitality brand with a strong presence in London.
- Benefits: Competitive salary, 20% bonus, and long-term contract opportunities.
- Why this job: Join a dynamic team and make a significant impact in the hospitality industry.
- Qualifications: Over 6 years of data engineering experience and 3 years with Databricks.
- Other info: Exciting opportunity for career growth in a thriving sector.
The predicted salary is between 65000 - 72000 £ per year.
A leading global hospitality brand is seeking a Senior Data Engineer in London to design and optimize their data platform. The ideal candidate will have over 6 years of data engineering experience and at least 3 years of hands-on expertise with Databricks. This position offers an annual salary between £65,000 and £72,000, plus a 20% bonus and a contract longer than 6 months to contribute to decision-making and analytics across the business.
Senior Data Engineer - Databricks & Azure Platform Lead employer: Data Freelance Hub
Contact Detail:
Data Freelance Hub Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Databricks & Azure Platform Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Databricks and Azure. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data platforms. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. We recommend practising with friends or using mock interview platforms to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and eager to join our team.
We think you need these skills to ace Senior Data Engineer - Databricks & Azure Platform Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks and Azure. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects you've worked on!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this Senior Data Engineer role. Share your passion for data engineering and how you can contribute to our team.
Showcase Your Achievements: When detailing your experience, focus on specific achievements rather than just responsibilities. We love numbers, so if you’ve improved efficiency or saved costs, let us know the figures!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Data Freelance Hub
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge. Be ready to discuss specific projects where you've used it, the challenges you faced, and how you optimised data workflows. This will show that you’re not just familiar with the tool but can leverage it effectively.
✨Showcase Your Azure Expertise
Since this role involves the Azure platform, be prepared to talk about your experience with Azure services. Highlight any projects where you’ve integrated Azure with Databricks, and be ready to explain how you’ve used Azure to enhance data processing and analytics.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think of examples from your past work where you had to make critical decisions regarding data architecture or optimisation. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Understand the Business Context
Research the hospitality brand and understand their data needs. Familiarise yourself with how data impacts decision-making in their industry. This will help you tailor your responses and demonstrate that you’re not just a tech expert but also a strategic thinker who understands the business.
