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- Tasks: Design and implement scalable data solutions using Azure Databricks.
- Company: Leading insurance firm in London with a focus on innovation.
- Benefits: Competitive salary of £100K, hybrid work model, and career growth opportunities.
- Other info: Mentorship opportunities available to support junior engineers.
- Why this job: Make a real impact in data engineering while collaborating with talented teams.
- Qualifications: Experience with Azure Data Services and knowledge of the Lloyds of London market.
The predicted salary is between 100000 - 100000 £ per year.
Are you ready to take your career to the next level in a rewarding environment that values your expertise? We are seeking a Senior Azure Databricks Engineer for a permanent, hybrid role based in London. In this position, you will leverage Azure Databricks to drive innovative data solutions and contribute to enhancing our data engineering capabilities. This is an excellent opportunity for individuals who thrive in collaborative environments and are passionate about making an impact.
Key responsibilities include:
- Designing and implementing scalable data processing solutions using Azure Databricks.
- Collaborating with cross-functional teams to optimize data workflows.
- Ensuring data quality and governance across various pipelines.
- Mentoring and supporting junior data engineers to foster growth and innovation.
Requirements to be successful:
- Azure Data Services experience (including Azure ADF, Data Lake, Key Vault, Azure Functions and Databricks Delta Lake, PySpark and Unity Catalog).
- Experience within the Lloyds of London insurance market.
If you are an experienced Azure Databricks engineer looking to make a meaningful contribution, we encourage you to apply for this exciting opportunity. Your skills could shape the future of data engineering with us.
Senior Databricks Data Engineer - London - Insurance employer: Jefferson Frank
Contact Detail:
Jefferson Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Databricks Data Engineer - London - Insurance
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance and data engineering sectors. Attend meetups or webinars related to Azure Databricks and engage with industry professionals. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects using Azure Databricks. This could be anything from data processing solutions to innovative workflows. Having tangible examples of your work can really set you apart during interviews.
✨Tip Number 3
Prepare for those interviews! Research common interview questions for Senior Databricks Data Engineers and practice your responses. Be ready to discuss your experience with Azure Data Services and how you've tackled challenges in previous roles.
✨Tip Number 4
Apply through our website! We make it super easy for you to submit your application directly. Plus, it shows us you're genuinely interested in joining our team. Don’t miss out on this opportunity to shape the future of data engineering with us!
We think you need these skills to ace Senior Databricks Data Engineer - London - Insurance
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Databricks and the insurance sector. We want to see how your skills align with our needs, 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 you can contribute to our team. Keep it engaging and personal – we love a good story!
Showcase Your Collaborative Spirit: Since we value teamwork, mention any experiences where you’ve worked with cross-functional teams. Highlight how you’ve optimised workflows or mentored others – it’s all about showing us you’re a team player!
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 out on any updates from us!
How to prepare for a job interview at Jefferson Frank
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure Databricks and all the related technologies mentioned in the job description. Brush up on your knowledge of Azure Data Services, PySpark, and Delta Lake. Being able to discuss specific projects where you've used these tools will show your expertise.
✨Showcase Your Collaborative Spirit
Since the role involves working with cross-functional teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you’ve optimised data workflows or mentored junior engineers, as this will demonstrate your ability to thrive in a team environment.
✨Understand the Insurance Landscape
Familiarise yourself with the Lloyds of London insurance market. Knowing the industry’s challenges and how data engineering can address them will set you apart. Be ready to discuss how your skills can contribute to innovative solutions in this specific context.
✨Prepare Thoughtful Questions
Interviews are a two-way street, so come armed with insightful questions about the company’s data strategy and future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.