At a Glance
- Tasks: Create scalable ETL pipelines and transform raw data into standardised datasets.
- Company: Ryan Specialty Corporate Services Limited, a leader in innovative data solutions.
- Benefits: 6-month contract with competitive pay and opportunities for skill enhancement.
- Other info: Exciting opportunity to work in London with potential for career growth.
- Why this job: Join a dynamic team and make an impact in the insurance sector with cutting-edge technology.
- Qualifications: Experience with Azure Databricks and knowledge of PySpark preferred.
The predicted salary is between 50000 - 65000 £ per year.
Ryan Specialty Corporate Services Limited is seeking an experienced Data Engineer with strong Azure Databricks expertise for a 6-month contract in London. You will develop and deliver a scalable ETL pipeline that transforms raw data into standardised datasets for reporting purposes.
Your role involves:
- Designing robust data processes
- Producing technical documentation
- Integrating with CI/CD flows using Azure DevOps
Expertise in PySpark and experience in insurance are additional nice-to-haves.
Azure Databricks Data Engineer: Scalable ETL Pipelines employer: Ryan Specialty Corporate Services Limited
Ryan Specialty Corporate Services Limited is an excellent employer that fosters a collaborative and innovative work culture in the heart of London. With a focus on employee growth, we offer opportunities for professional development and skill enhancement, particularly in cutting-edge technologies like Azure Databricks. Our commitment to work-life balance and a supportive environment makes us an attractive choice for those seeking meaningful and rewarding employment.
Contact Details:
Ryan Specialty Corporate Services Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Azure Databricks Data Engineer: Scalable ETL Pipelines
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those with Azure Databricks experience. 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 previous ETL projects and any work you've done with PySpark. 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 common data engineering questions, especially around Azure DevOps and CI/CD flows. Practising your answers will help you feel more confident and ready to impress.
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Azure Databricks Data Engineer: Scalable ETL Pipelines
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Azure Databricks experience and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in scalable ETL pipelines!
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 Data Engineer role. Mention your experience with PySpark and any background in insurance, as these are great bonuses that can set you apart from other candidates.
Showcase Your Technical Skills:When filling out your application, be sure to include specific examples of your technical skills, especially around designing robust data processes and integrating with CI/CD flows using Azure DevOps. We love seeing real-world applications of your knowledge!
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 makes the whole process smoother for everyone involved!
How to prepare for a job interview at Ryan Specialty Corporate Services Limited
✨Know Your Azure Databricks Inside Out
Make sure you brush up on your Azure Databricks skills before the interview. Be ready to discuss how you've used it in past projects, especially in building scalable ETL pipelines. Having specific examples at hand will show that you’re not just familiar with the tool, but that you can leverage it effectively.
✨Showcase Your PySpark Proficiency
Since expertise in PySpark is a key requirement, prepare to demonstrate your knowledge. Think of scenarios where you've used PySpark to transform data and be ready to explain your thought process. This will highlight your technical skills and problem-solving abilities.
✨Understand the Insurance Domain
If you have experience in the insurance sector, make sure to bring it up during the interview. Discuss how your background can add value to their projects. If you lack direct experience, do some research on common data challenges in insurance to show your interest and understanding of the industry.
✨Prepare for Technical Documentation Questions
Since producing technical documentation is part of the role, be prepared to talk about your approach to documenting processes. You might even want to bring a sample of your previous work to showcase your ability to create clear and concise documentation that others can follow.
