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- Tasks: Design and build Databricks Lakehouse solutions and develop event-driven pipelines.
- Company: Join a leading driver services provider in Basingstoke with a focus on data innovation.
- Benefits: Enjoy annual leave, pension contributions, and exclusive employee discounts.
- Why this job: Make an impact in data analytics while working with cutting-edge technologies.
- Qualifications: Experience with Azure Databricks, Spark, Python, and CI/CD is essential.
- Other info: Hybrid work model with opportunities for professional growth.
The predicted salary is between 42000 - 60000 £ per year.
A well-known driver services provider in Basingstoke is seeking an experienced Databricks Data Engineer to join their Data & Analytics Team. You will design and build production-grade Databricks Lakehouse solutions, manage data governance through Unity Catalog, and develop event-driven pipelines with backend teams. Ideal candidates have extensive hands-on experience with Azure Databricks, Spark, Python, and CI/CD implementations.
Additional benefits include annual leave, pension contributions, and various employee discounts.
Databricks Lakehouse Engineer (PySpark, Azure) – Hybrid in Basingstoke employer: The AA
Contact Detail:
The AA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Databricks Lakehouse Engineer (PySpark, Azure) – Hybrid in Basingstoke
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at companies you're eyeing. A friendly chat can sometimes lead to insider info or even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Databricks Lakehouse projects, especially those involving PySpark and Azure. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for the technical interview! Brush up on your knowledge of data governance and event-driven pipelines. Practising common interview questions can help you feel more confident when it’s your turn to shine.
✨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 take that extra step!
We think you need these skills to ace Databricks Lakehouse Engineer (PySpark, Azure) – Hybrid in Basingstoke
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Databricks, Spark, and Python. We want to see how your skills match the job description, 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 excited about the role and how your background makes you a perfect fit for our Data & Analytics Team. Keep it engaging and personal!
Showcase Your Technical Skills: Since this role involves building production-grade solutions, make sure to mention any hands-on experience you have with CI/CD implementations. We love seeing practical examples of your work, so include links to your GitHub or any relevant projects.
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 our team!
How to prepare for a job interview at The AA
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Azure Databricks, PySpark, and CI/CD practices. Be ready to discuss specific projects where you've implemented these technologies, as this will show your hands-on experience and problem-solving skills.
✨Understand the Company’s Needs
Research the driver services provider and their data analytics goals. Knowing how they use data governance and event-driven pipelines can help you tailor your answers to demonstrate how you can add value to their team.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems or describe past challenges. Think about scenarios where you had to manage data governance or collaborate with backend teams, and be ready to explain your thought process and outcomes.
✨Showcase Your Soft Skills
While technical skills are crucial, don’t forget to highlight your communication and teamwork abilities. Discuss how you’ve worked with cross-functional teams in the past, as this will illustrate your fit within their Data & Analytics Team.
