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- Tasks: Lead data architecture projects using PySpark and Databricks while guiding a talented team.
- Company: A leading tech firm in London known for innovation and excellence.
- Benefits: Competitive contract salary with opportunities for professional growth.
- Why this job: Make a significant impact in data engineering and work with cutting-edge technologies.
- Qualifications: 10+ years in data engineering, strong communication skills, and Azure proficiency.
The predicted salary is between 60000 - 80000 £ per year.
A leading technology firm in London is seeking a Mid-Senior level Data Engineer with extensive experience in PySpark and Databricks. The role involves understanding client requirements, developing data models, and guiding a team.
Ideal candidates will have:
- a minimum of 10 years in data engineering
- strong communication skills
- proficiency in Azure Services and Erwin
This is a contract position for 6 months.
Senior Data Architecture Lead - PySpark/Databricks (London) employer: BlueRose Technologies
Contact Detail:
BlueRose Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Architecture Lead - PySpark/Databricks (London)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with PySpark and Databricks. 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 best data models and projects. This is your chance to demonstrate your expertise in Azure Services and Erwin, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Since this role involves guiding a team, being able to clearly articulate your ideas and solutions is key. Practice common interview questions related to data architecture and team leadership.
✨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 Architecture Lead - PySpark/Databricks (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with PySpark and Databricks. We want to see how your skills align with the role, so don’t be shy about showcasing your data engineering journey!
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 Architecture Lead role. We love seeing your personality come through, so keep it engaging and relevant.
Showcase Your Communication Skills: Since strong communication is key for this role, make sure to highlight any experiences where you’ve successfully guided a team or collaborated with clients. We want to see how you can lead and inspire others!
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 BlueRose Technologies
✨Know Your Tech Inside Out
Make sure you brush up on your PySpark and Databricks skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Understand the Client's Needs
Research the company and its clients. Be prepared to talk about how you would approach understanding client requirements and translating them into effective data models. This shows that you’re not just a tech whiz but also a problem solver.
✨Showcase Your Leadership Skills
Since this role involves guiding a team, think of examples where you've successfully led projects or mentored others. Highlight your communication skills and how you foster collaboration within a team.
✨Familiarise Yourself with Azure Services and Erwin
If you have experience with Azure Services and Erwin, be ready to discuss how you've used them in your previous roles. If you're less familiar, take some time to learn the basics so you can speak confidently about them during the interview.