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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 with significant technical challenges and career advancement potential.
- Why this job: Join a dynamic team and make an impact in a cutting-edge trading environment.
- Qualifications: Proven Spark experience, strong Python skills, and familiarity with Databricks preferred.
The predicted salary is between 70000 - 90000 £ 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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with Spark and Databricks. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or a portfolio showcasing your Spark projects, make sure to share it. 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. We recommend doing mock interviews with friends or using online platforms to get comfortable with the questions.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you, and applying directly can sometimes give you an edge over others.
We think you need these skills to ace Senior Data Engineer: Spark & Databricks Lakehouse Lead in London
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 any relevant projects or experiences. We love seeing how you’ve used Python to solve real-world problems, so let us know what you've been up to!
Familiarity with Databricks: If you’ve worked with Databricks, give us the lowdown! Share specific examples of how you’ve leveraged this platform to enhance performance and reliability in your projects. It’ll definitely catch our eye.
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. Let’s get started on this journey together!
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 your approach to a data engineering task using Python. 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 for the role and your willingness to learn.
✨Prepare for Technical Depth Questions
Expect questions that dive deep into technical aspects of data engineering. Brush up on concepts related to large-scale data systems, performance optimisation, and reliability. Think of examples from your past work that illustrate your problem-solving skills and technical expertise.