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- Tasks: Build and operate a cloud-native data platform on Azure with cutting-edge technologies.
- Company: Global financial markets provider with a focus on innovation.
- Benefits: Competitive salary, health benefits, and opportunities for personal and professional growth.
- Why this job: Join a dynamic team and shape the future of data analytics in finance.
- Qualifications: Experience with Azure Databricks, Kafka, SQL, and distributed systems.
- Other info: Exciting environment with high-throughput data pipelines and scalable architectures.
The predicted salary is between 48000 - 72000 £ per year.
A global financial markets provider is seeking a Manager-level professional to build and operate their cloud-native data platform on Azure. The successful candidate will have extensive experience with Azure Databricks, Kafka, and SQL, ensuring the platform's reliability and performance. This role requires a strong understanding of distributed systems and will focus on developing scalable, event-driven architectures. The environment is designed for high-throughput data pipelines and analytics, providing a great opportunity for personal and professional growth.
Principal Platform Engineer-Cloud Data & Real-Time Analytics employer: LSEG
Contact Detail:
LSEG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Platform Engineer-Cloud Data & Real-Time Analytics
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects with Azure Databricks, Kafka, and SQL. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of distributed systems and event-driven architectures. We recommend practising common interview questions and even doing mock interviews with friends 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 seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Principal Platform Engineer-Cloud Data & Real-Time Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Databricks, Kafka, and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements in these areas!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about building cloud-native data platforms and how your background makes you the perfect fit for our team.
Showcase Your Understanding of Distributed Systems: In your application, demonstrate your knowledge of distributed systems and event-driven architectures. We’re looking for someone who can think critically about scalability and performance, so share relevant experiences!
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 in our growing team!
How to prepare for a job interview at LSEG
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure Databricks, Kafka, and SQL. Brush up on your knowledge of distributed systems and be ready to discuss how you've used these technologies in past projects. This will show that you’re not just familiar with the tools but can also leverage them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in building or operating cloud-native platforms. Think about how you approached these problems and what solutions you implemented. This will demonstrate your ability to think critically and adapt in a fast-paced environment.
✨Understand Event-Driven Architectures
Since the role focuses on scalable, event-driven architectures, make sure you can explain the principles behind them. Be ready to share examples of how you've designed or worked with such systems, highlighting your understanding of high-throughput data pipelines.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current data platform and future goals. This shows your genuine interest in the role and helps you gauge if the company aligns with your career aspirations. Plus, it gives you a chance to engage in a meaningful conversation during the interview.
