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- Tasks: Design and develop scalable data solutions on the Databricks platform.
- Company: Leading consulting firm with a focus on innovative data solutions.
- Benefits: Comprehensive benefits package, hybrid work model, and continuous learning opportunities.
- Why this job: Join a dynamic team and tackle real-world data challenges using cutting-edge technology.
- Qualifications: Proficiency in Python, PySpark, SQL, and experience with CI/CD processes.
- Other info: Great career growth potential in a collaborative environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading consulting firm is seeking a Senior Azure Data Engineer to design and develop scalable data solutions on the Databricks platform. This role will involve hands-on tasks such as building robust data pipelines, collaborating with clients to address their data challenges, and applying DevOps principles.
The ideal candidate will have proficiency in Python, PySpark, and SQL, as well as experience with CI/CD processes.
The firm offers a comprehensive benefits package, a hybrid work model, and opportunities for continuous learning.
Senior Azure Data Engineer: Databricks & Delta Lake employer: Capco
Contact Detail:
Capco Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Azure Data Engineer: Databricks & Delta Lake
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with Azure or Databricks. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects using Python, PySpark, and SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on DevOps principles and how they apply to data engineering. Be ready to discuss your experience with CI/CD processes and how you've tackled data challenges in the past.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to submit your application and showcase your skills directly to the hiring team. Plus, it shows you're serious about joining us!
We think you need these skills to ace Senior Azure Data Engineer: Databricks & Delta Lake
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, Databricks, and Delta Lake. We want to see how your skills in Python, PySpark, and SQL shine through, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share specific examples of how you've tackled data challenges and applied DevOps principles in your previous roles.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve building data pipelines or using CI/CD processes.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Capco
✨Know Your Tech Inside Out
Make sure you brush up on your skills in Python, PySpark, and SQL. Be ready to discuss how you've used these technologies in past projects, especially in building data pipelines or working with Databricks and Delta Lake.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled data challenges in previous roles. Think about times when you collaborated with clients to find solutions and how you applied DevOps principles to streamline processes.
✨Familiarise Yourself with CI/CD Processes
Since this role involves CI/CD, be prepared to discuss your experience with these processes. Highlight any tools you've used and how they helped improve the efficiency of your data engineering tasks.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the firm's approach to data solutions, their hybrid work model, and opportunities for continuous learning. This shows your genuine interest in the role and the company.
