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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, competitive salary, and career development opportunities.
- Why this job: Join a dynamic team and shape the future of data engineering with cutting-edge technology.
- Qualifications: Experience with Azure Databricks, Python, PySpark, and data governance skills required.
- Other info: Exciting opportunity for growth in a collaborative and innovative environment.
The predicted salary is between 43200 - 72000 £ 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) 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)
✨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 Lakehouse projects or any relevant work you've done with Azure Databricks. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and PySpark skills. Be ready to discuss how you've implemented structured streaming pipelines and tackled data governance challenges in past roles.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining us. Plus, it makes it easier for us to keep track of your application.
We think you need these skills to ace Databricks Data Engineer: Lakehouse Architect (Hybrid)
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. It’s the best way for us to receive your application and ensures you don’t miss any important updates from our team!
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 Experience is Crucial
Since the job involves CI/CD pipeline maintenance, highlight your experience in this area. Prepare to explain the tools and processes you've used to ensure smooth deployments and how you've tackled any challenges that arose during the CI/CD lifecycle.
✨Embrace the Hybrid Model
With a hybrid working model in play, express your adaptability and how you manage your time between remote work and office days. Share any experiences that demonstrate your ability to collaborate effectively in both settings, as this will show you're a great fit for their flexible work culture.
