At a Glance
- Tasks: Build scalable ETL pipelines and transform raw data into valuable insights.
- Company: Ryan Specialty Group, a leader in innovative data solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Exciting projects with room for creativity and career advancement.
- Why this job: Join a dynamic team and make a real impact on data-driven decision-making.
- Qualifications: 2+ years of experience in data engineering and Azure Databricks expertise.
The predicted salary is between 50000 - 60000 £ per year.
Ryan Specialty Group is looking for an experienced Data Engineer to deliver a scalable data pipeline in London. The role demands expertise in Azure Databricks and involves implementing an ETL pipeline, transforming raw data into high-quality datasets for reporting.
Key responsibilities include:
- Developing Databricks jobs
- Integrating with CI/CD using Azure DevOps
- Producing technical documentation
Candidates should have 2+ years in relevant roles and familiarity with data best practices.
Azure Databricks Data Engineer — Scalable ETL Pipelines employer: Ryan Specialty Group
Ryan Specialty Group is an excellent employer, offering a dynamic work environment in the heart of London where innovation thrives. With a strong focus on employee growth, we provide opportunities for professional development and collaboration on cutting-edge projects in data engineering. Our inclusive culture fosters creativity and teamwork, making it a rewarding place for those looking to make a meaningful impact in the field of data.
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 folks in your industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Azure Databricks projects and any ETL 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 common data engineering questions and scenarios. Practise explaining your thought process when developing scalable solutions, as this will demonstrate your expertise and problem-solving skills.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're genuinely interested in joining our team!
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 experience with Azure Databricks and ETL pipelines. We want to see how your skills match the job description, 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 at Ryan Specialty Group.
Showcase Your Technical Skills:Don’t forget to mention your familiarity with CI/CD and Azure DevOps in your application. We love seeing candidates who can integrate these tools into their workflow, so make it clear how you’ve done this in the past.
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 Ryan Specialty Group
✨Know Your Azure Databricks Inside Out
Make sure you brush up on your Azure Databricks knowledge. Be ready to discuss how you've used it in past projects, especially in developing scalable ETL pipelines. Prepare to share specific examples of challenges you faced and how you overcame them.
✨Showcase Your CI/CD Experience
Since the role involves integrating with CI/CD using Azure DevOps, be prepared to talk about your experience with these tools. Highlight any projects where you implemented CI/CD practices and how they improved your workflow or data quality.
✨Prepare for Technical Documentation Questions
Technical documentation is key in this role, so think about how you've documented your work in the past. Be ready to explain your approach to creating clear, concise documentation that others can easily follow.
✨Familiarise Yourself with Data Best Practices
Ryan Specialty Group values data best practices, so make sure you can discuss these confidently. Brush up on data quality, governance, and transformation techniques, and be ready to explain how you've applied these in your previous roles.
