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- Tasks: Lead the design and delivery of top-notch data solutions using Databricks.
- Company: Capco, a forward-thinking company in the data engineering space.
- Benefits: Flexible holidays, competitive pay, and continuous learning opportunities.
- Other info: Hybrid role with great potential for career advancement.
- Why this job: Join a dynamic team and shape the future of data capabilities for clients.
- Qualifications: Experience with Databricks, Python, and CI/CD principles required.
The predicted salary is between 70000 - 90000 £ per year.
Capco is hiring a Principal Azure Data Engineer in London to lead the architecture and delivery of enterprise-grade data solutions using Databricks. You'll work in a hybrid role, guiding cross-functional teams to modernize clients' data capabilities.
Ideal candidates will have proven experience with Databricks, solid expertise in Python, and a strong background in CI/CD and data lakehouse principles.
Enjoy a competitive benefits package, including flexible holiday options and continuous learning opportunities.
Azure Data Architect (Databricks) – DeltaLake & Pipelines in London employer: Capco
Contact Detail:
Capco Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Architect (Databricks) – DeltaLake & Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure and Databricks. 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 with Databricks, Python, and CI/CD. 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 questions related to data lakehouse principles and Azure architecture. We recommend practising with a friend 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 about their job search!
We think you need these skills to ace Azure Data Architect (Databricks) – DeltaLake & Pipelines in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data solutions and how your background makes you the perfect fit for our team at Capco.
Showcase Your CI/CD Knowledge: Since this role involves modernising data capabilities, we’d love to see examples of your experience with CI/CD processes. Share specific instances where you’ve implemented these practices successfully.
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 the role without any hiccups!
How to prepare for a job interview at Capco
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Be ready to discuss how you've used it in past projects, especially in relation to DeltaLake and pipelines. Having specific examples will show that you’re not just familiar with the tool but can leverage it effectively.
✨Showcase Your Python Skills
Since solid expertise in Python is a must-have, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain your thought process while coding. Practising common data manipulation tasks in Python can give you an edge.
✨Understand CI/CD Principles
Familiarise yourself with Continuous Integration and Continuous Deployment (CI/CD) practices. Be prepared to discuss how you’ve implemented these in previous roles, particularly in relation to data solutions. This will highlight your ability to deliver enterprise-grade solutions efficiently.
✨Emphasise Team Collaboration
As this role involves guiding cross-functional teams, be ready to share experiences where you successfully collaborated with others. Highlight your communication skills and how you’ve helped modernise clients' data capabilities through teamwork.