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- Tasks: Build and maintain data pipelines for real-time trading data.
- Company: Join Keyrock, a leader in innovative data solutions.
- Benefits: Enjoy competitive salary and a remote-first work culture.
- Other info: Be part of a dynamic team with exciting growth opportunities.
- Why this job: Make an impact on cutting-edge data platforms in a collaborative team.
- Qualifications: 8+ years in data systems with strong Python and SQL skills.
The predicted salary is between 60000 - 80000 £ per year.
Keyrock is seeking a Senior Data Engineer to build streaming and batch data pipelines and maintain high standards in data governance. You will work collaboratively within a newly formed Central Data Team, contributing to building the Keyrock Data Platform.
Ideal candidates have over 8 years of experience in data systems, strong Python and SQL skills, and familiarity with tools like Kafka and ClickHouse.
The position offers competitive salary packages and a remote-first working environment.
Senior Data Engineer - Real-Time Trading Data Platform in London employer: Keyrock
Contact Detail:
Keyrock Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Real-Time Trading Data Platform in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who might know about opportunities at Keyrock. A friendly chat can sometimes lead to a referral, which is golden!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects, especially those involving Python, SQL, Kafka, and ClickHouse. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Ace the interview! Research common data engineering interview questions and practice your answers. Be ready to discuss your past experiences and how they relate to building streaming and batch data pipelines.
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are genuinely interested in joining our team. It shows initiative and enthusiasm, which we value highly at Keyrock.
We think you need these skills to ace Senior Data Engineer - Real-Time Trading Data Platform in London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 8+ years of experience in data systems. We want to see how your background aligns with the role, so don’t hold back on showcasing your skills in Python, SQL, and any relevant tools like Kafka and ClickHouse.
Tailor Your Application: Take a moment to customise your application for this specific role. We love seeing candidates who understand our needs and can demonstrate how they’ll contribute to building the Keyrock Data Platform. A little effort goes a long way!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the Senior Data Engineer position.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, we love seeing candidates who follow the process!
How to prepare for a job interview at Keyrock
✨Know Your Data Inside Out
Make sure you brush up on your data engineering skills, especially in Python and SQL. Be prepared to discuss your past projects involving streaming and batch data pipelines, as well as any experience with tools like Kafka and ClickHouse.
✨Showcase Your Collaboration Skills
Since you'll be working within a Central Data Team, it's crucial to demonstrate your ability to collaborate effectively. Think of examples where you've worked in a team setting, particularly in building data platforms or similar projects.
✨Understand Data Governance
Keyrock values high standards in data governance, so be ready to talk about your approach to maintaining data quality and compliance. Share specific strategies you've implemented in previous roles to ensure data integrity.
✨Prepare Questions About the Role
Interviews are a two-way street! Prepare insightful questions about the Keyrock Data Platform and the team's goals. This shows your genuine interest in the role and helps you assess if it's the right fit for you.