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- Tasks: Lead the development of a Databricks lakehouse platform for high-performance trading.
- Company: CipherTek Recruitment, a leader in tech recruitment based in London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Exciting role in a fast-paced environment with excellent career advancement potential.
- Why this job: Join a dynamic team and make a significant impact on trading performance.
- Qualifications: Proven Spark experience, strong Python skills, and familiarity with Databricks preferred.
The predicted salary is between 60000 - 80000 £ per year.
CipherTek Recruitment is seeking a Senior & Lead Data Engineer in London to develop a Databricks lakehouse platform for a high-performance trading environment. The role focuses on optimizing Spark pipelines and working with large-scale data systems.
Candidates should have proven experience with Spark in production, strong Python skills, and ideally, familiarity with Databricks. This hands-on role involves significant technical depth and is crucial for driving performance and reliability in production systems.
Senior Data Engineer: Spark & Databricks Lakehouse Lead employer: CipherTek Recruitment
Contact Detail:
CipherTek Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Spark & Databricks Lakehouse Lead
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working with Databricks or Spark. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got a GitHub or portfolio showcasing your work with Spark or data engineering projects, make sure to share it during interviews. It’s a great way to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and Spark knowledge. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Senior Data Engineer: Spark & Databricks Lakehouse Lead
Some tips for your application 🫡
Show Off Your Spark Skills: Make sure to highlight your experience with Spark in production. We want to see how you've optimised pipelines and tackled challenges in large-scale data systems. Don't hold back on the details!
Python Proficiency is Key: Since strong Python skills are a must, be sure to showcase your coding prowess. Include examples of projects or tasks where you've used Python effectively, especially in relation to data engineering.
Familiarity with Databricks: If you’ve worked with Databricks, let us know! Even if it’s not a deal-breaker, showing that you’re familiar with the platform can give you an edge. Share any relevant experiences or projects.
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 CipherTek Recruitment
✨Know Your Spark Inside Out
Make sure you brush up on your Spark knowledge before the interview. Be ready to discuss your experience with Spark in production environments, including specific projects where you've optimised pipelines. This will show that you not only understand the theory but have practical skills to back it up.
✨Showcase Your Python Proficiency
Since strong Python skills are a must for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem or explain how you've used Python in your previous projects. Practising common data manipulation tasks can help you feel more confident.
✨Familiarise Yourself with Databricks
If you have experience with Databricks, make sure to highlight it. If not, take some time to learn the basics and understand how it integrates with Spark. Being able to discuss its features and benefits will show your enthusiasm and willingness to learn.
✨Prepare for Technical Depth Questions
Expect in-depth technical questions about large-scale data systems and performance optimisation. Think of examples from your past work where you tackled challenges in these areas. This will demonstrate your ability to drive performance and reliability in production systems.