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- Tasks: Design and maintain top-notch data products using Databricks.
- Company: Leading UK recruitment agency with a focus on innovation.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in data engineering.
- Qualifications: 6+ years in data engineering with strong Python and SQL skills.
- Other info: Collaborative environment with a focus on data governance.
The predicted salary is between 48000 - 72000 £ per year.
A leading recruitment agency in the UK seeks a Senior Data Engineer to join the Data & Analytics team. This role, requiring hybrid working with 2-3 days in-office, focuses on designing and maintaining production-grade data products using Databricks.
Candidates should have 6+ years in data engineering, with strong Python and SQL skills. The successful applicant will collaborate closely with various teams to meet business requirements and ensure data governance standards are maintained.
Senior Data Engineer - Databricks Data Platform in Reading employer: Stott and May
Contact Detail:
Stott and May Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Databricks Data Platform in Reading
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Databricks. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data products or projects using Python and SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Think about how you would tackle real-world problems using Databricks and be ready to discuss your thought process with interviewers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented folks like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Data Engineer - Databricks Data Platform in Reading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 6+ years of experience in data engineering, especially with Python and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects you've worked on!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the Senior Data Engineer position and how your experience with Databricks can help us design and maintain top-notch data products.
Showcase Collaboration Skills: Since this role involves working closely with various teams, make sure to mention any past experiences where you collaborated effectively. We love seeing how you can meet business requirements while maintaining data governance standards!
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’s super easy – just follow the prompts!
How to prepare for a job interview at Stott and May
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Understand its architecture, features, and how it integrates with Python and SQL. Being able to discuss specific use cases or projects where you've utilised Databricks will show your expertise.
✨Showcase Your Data Engineering Experience
With 6+ years in data engineering, be ready to share detailed examples of your past work. Highlight projects where you designed and maintained production-grade data products. Discuss the challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills.
✨Collaboration is Key
Since the role involves working closely with various teams, prepare to discuss your experience in collaborative environments. Think of examples where you successfully worked with cross-functional teams to meet business requirements and ensure data governance standards were upheld.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the company's data strategy, team dynamics, and how they measure success in this role. This not only shows your interest but also helps you gauge if the company is the right fit for you.
