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- Tasks: Design and operate Databricks Lakehouse solutions and build Spark pipelines.
- Company: Join the Automobile Association, a leader in innovative data solutions.
- Benefits: Enjoy generous leave, pension contributions, and continuous learning opportunities.
- Other info: Hybrid working model with three days in Basingstoke.
- Why this job: Make an impact in data engineering while working with cutting-edge technology.
- Qualifications: Hands-on experience with Azure Databricks, Python, and PySpark required.
The predicted salary is between 50000 - 65000 £ per year.
The Automobile Association is seeking an experienced Databricks Data Engineer to design and operate production-grade Databricks Lakehouse solutions. This role requires significant hands-on experience in Azure Databricks, particularly in building Spark pipelines with Python and PySpark, and managing data governance via Unity Catalog.
The position offers hybrid working three days a week in Basingstoke, along with numerous benefits including generous leave, pension contributions, and continuous learning opportunities.
Databricks Data Engineer: Lakehouse & Pipelines (Azure) in Hampshire employer: Automobile Association
Contact Detail:
Automobile Association Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Databricks Data Engineer: Lakehouse & Pipelines (Azure) in Hampshire
✨Tip Number 1
Network like a pro! Reach out to current or former employees at The Automobile Association on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your experience with Azure Databricks and Spark pipelines. This hands-on evidence can really set us apart during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to data engineering and Azure. We can even do mock interviews with friends to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CV and cover letter to highlight our relevant experience directly related to the job description.
We think you need these skills to ace Databricks Data Engineer: Lakehouse & Pipelines (Azure) in Hampshire
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Databricks and Spark pipelines. 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 passionate about data engineering and how your experience with Python and PySpark makes you a perfect fit for our team at StudySmarter.
Showcase Your Problem-Solving Skills: In your application, give examples of challenges you've faced in previous roles and how you tackled them. We love seeing how you approach problem-solving, especially in the context of data governance and pipeline management.
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. Plus, it’s super easy!
How to prepare for a job interview at Automobile Association
✨Know Your Databricks Inside Out
Make sure you brush up on your knowledge of Azure Databricks and its features. Be prepared to discuss your hands-on experience with building Spark pipelines using Python and PySpark, as well as how you've managed data governance with Unity Catalog in previous roles.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to tackle some technical challenges or case studies. Think about how you would approach designing a production-grade Lakehouse solution and be prepared to explain your thought process clearly and logically.
✨Highlight Your Collaboration Experience
Since this role involves working in a hybrid environment, emphasise your ability to collaborate effectively with remote teams. Share examples of how you've successfully worked with others to deliver projects, especially in data engineering contexts.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company's data strategy or the specific challenges they face with their Lakehouse solutions. This shows your genuine interest in the role and helps you assess if it's the right fit for you.