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- Tasks: Design and build production-grade Databricks Lakehouse solutions using Azure Databricks.
- Company: Leading driver services company in Greater London with a focus on innovation.
- Benefits: Hybrid working model for flexibility and work-life balance.
- Why this job: Join a dynamic team and shape the future of data engineering.
- Qualifications: Experience with Azure Databricks, Python, PySpark, and CI/CD pipelines.
- Other info: Opportunity to work in a collaborative environment with career advancement.
The predicted salary is between 36000 - 60000 £ per year.
A leading driver services company in Greater London is seeking an experienced Databricks Data Engineer to design and build production-grade Databricks Lakehouse solutions. The role requires significant experience with Azure Databricks, creating structured streaming pipelines using Python and PySpark, as well as strong skills in data governance and CI/CD pipeline maintenance. This position offers a hybrid working model, allowing flexibility with office days.
Databricks Data Engineer: Lakehouse Architect (Hybrid) in London employer: Automobile Association
Contact Detail:
Automobile Association Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Databricks Data Engineer: Lakehouse Architect (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with Databricks or in data engineering. 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 Databricks projects, especially any structured streaming pipelines you've built. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Azure Databricks, Python, and PySpark. We recommend practicing common interview questions and even doing mock interviews with friends.
✨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 and take the time to connect with us directly.
We think you need these skills to ace Databricks Data Engineer: Lakehouse Architect (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Databricks and structured streaming pipelines. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
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 background makes you a perfect fit for our team. Let us know what excites you about the Databricks Lakehouse solutions.
Showcase Your Technical Skills: When filling out your application, be sure to mention your proficiency in Python, PySpark, and CI/CD pipeline maintenance. We love seeing specific examples of how you've used these skills in past roles!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss any important updates from us!
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 how you've designed and built Lakehouse solutions in the past, and have specific examples ready to showcase your experience with structured streaming pipelines using Python and PySpark.
✨Showcase Your Data Governance Skills
Data governance is key for this role, so be ready to talk about your approach to maintaining data quality and compliance. Think of instances where you've implemented data governance practices and how they benefited your previous projects.
✨CI/CD Pipeline Maintenance Matters
Since CI/CD pipeline maintenance is part of the job, come equipped with examples of how you've managed and optimised these processes. Discuss any tools or methodologies you've used to ensure smooth deployments and continuous integration.
✨Embrace the Hybrid Model
With a hybrid working model in play, be prepared to discuss how you manage your time and productivity both in the office and remotely. Share your strategies for collaboration and communication with team members when working from home.
