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- Tasks: Build and manage data pipelines for market and portfolio data.
- Company: Keyrock, a forward-thinking company with a remote-first culture.
- Benefits: Flexible hours, competitive salary, and comprehensive benefits.
- Other info: Exciting opportunity for career growth in a dynamic environment.
- Why this job: Join a collaborative team and shape the future of data platforms.
- Qualifications: 8+ years in data systems, strong Python and SQL skills required.
The predicted salary is between 60000 - 84000 £ per year.
Keyrock is looking for an experienced data engineer to help build our Data Platform. This role involves creating pipelines that manage market and portfolio data, establishing data quality frameworks, and collaborating with various teams.
Candidates should have over 8 years in data systems, strong Python and SQL skills, and experience with streaming technologies.
Flexible hours and a collaborative team culture are offered, along with a competitive salary and benefits.
Senior Data Platform Engineer (Remote-First) employer: Keyrock
Contact Detail:
Keyrock Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Platform Engineer (Remote-First)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving Python, SQL, and streaming technologies. This will give potential employers a taste of what you can bring to their Data Platform.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your past experiences with data pipelines and quality frameworks, as this will help you stand out during the interview process.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes the application process smoother for everyone involved.
We think you need these skills to ace Senior Data Platform Engineer (Remote-First)
Some tips for your application 🫡
Show Off Your Experience: When you're writing your application, make sure to highlight your 8+ years in data systems. We want to see how your experience aligns with building data platforms and managing data pipelines.
Get Technical: Don’t shy away from showcasing your strong Python and SQL skills. We love seeing specific examples of how you've used these technologies in your previous roles, so be detailed!
Collaboration is Key: Since this role involves working with various teams, let us know about your collaborative experiences. Share instances where you’ve worked cross-functionally to achieve a common goal.
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!
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 data pipelines and how you've tackled data quality issues. This will show that you not only have the technical skills but also the practical experience needed for the role.
✨Showcase Your Streaming Tech Experience
Since streaming technologies are a key part of this role, be ready to talk about any relevant tools or frameworks you've used. Whether it's Apache Kafka or another technology, having specific examples of how you've implemented these in previous roles will set you apart from other candidates.
✨Collaboration is Key
Keyrock values a collaborative team culture, so highlight your experience working with cross-functional teams. Share examples of how you've successfully collaborated with different departments to achieve common goals, as this will demonstrate your ability to fit into their team dynamic.
✨Ask Insightful Questions
Prepare some thoughtful questions about Keyrock's data platform and their future projects. This shows your genuine interest in the role and helps you understand if the company aligns with your career goals. Plus, it gives you a chance to engage with the interviewers and make a memorable impression.