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- Tasks: Lead the development of data pipelines and workflows using Azure Databricks.
- Company: A leading consultancy in digital transformation with a collaborative culture.
- Benefits: Competitive salary up to £100K, bonuses, and hybrid work flexibility.
- Why this job: Make strategic decisions and impact projects in a dynamic environment.
- Qualifications: Over 5 years of hands-on experience, especially in the insurance domain.
- Other info: Senior-level responsibilities with opportunities for professional growth.
The predicted salary is between 72000 - 84000 £ per year.
A leading consultancy in digital transformation is seeking a Senior Data Engineer in London to lead the development of data pipelines and workflows using Azure Databricks.
The ideal candidate has over 5 years of hands-on experience, particularly in the insurance domain, and will enjoy competitive compensation up to £100K plus bonuses.
This hybrid role offers senior-level responsibilities and the opportunity to impact strategic decisions within a collaborative environment.
Senior Databricks Data Engineer - Hybrid London employer: Jefferson Frank
Contact Detail:
Jefferson Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Databricks Data Engineer - Hybrid London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in digital transformation or 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! Prepare a portfolio showcasing your previous projects, especially those involving Azure Databricks. This will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 3
Ace the interview by practising common questions related to data engineering and the insurance domain. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨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 about their job search!
We think you need these skills to ace Senior Databricks Data Engineer - Hybrid London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Databricks and data pipelines. We want to see how your skills align with the role, especially if you've worked in the insurance domain.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this Senior Data Engineer role. Share specific examples of your past projects and how they relate to what we do at StudySmarter.
Showcase Your Collaboration Skills: Since this role involves working in a collaborative environment, make sure to mention any team projects or cross-departmental work you've done. We love seeing how you can contribute to our team dynamic!
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 us!
How to prepare for a job interview at Jefferson Frank
✨Know Your Databricks Inside Out
Make sure you brush up on your Azure Databricks knowledge. Be prepared to discuss your experience with data pipelines and workflows, especially in the context of the insurance domain. Highlight specific projects where you've made a significant impact.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to tackle hypothetical scenarios or case studies related to data engineering. Think about how you would approach challenges in data transformation and integration, and articulate your thought process clearly.
✨Understand the Company’s Vision
Research the consultancy's recent projects and their approach to digital transformation. This will help you align your answers with their goals and demonstrate that you're genuinely interested in contributing to their success.
✨Prepare Questions That Matter
Have a list of insightful questions ready to ask your interviewers. Inquire about their current data initiatives, team dynamics, and how they measure success in this role. This shows your enthusiasm and helps you gauge if the company is the right fit for you.
