At a Glance
- Tasks: Build resilient data pipelines and ensure data governance for various teams.
- Company: Keyrock, a forward-thinking company with a collaborative culture.
- Benefits: Competitive salary, remote work flexibility, and a supportive team environment.
- Other info: Exciting opportunity for career growth in a dynamic remote setting.
- Why this job: Join a high-impact team and shape the future of data at Keyrock.
- Qualifications: 8+ years in data systems, strong Python and SQL skills, and streaming tech knowledge.
The predicted salary is between 60000 - 84000 £ per year.
Keyrock is seeking an experienced data engineer to help build its Central Data Team (CDT) and develop a robust data platform. This role involves constructing resilient data pipelines, ensuring data governance, and working closely with various teams to meet their data needs.
The ideal candidate should have:
- Over 8 years of experience in data systems
- Strong skills in Python and SQL
- Familiarity with streaming technologies
Keyrock offers a competitive salary and a collaborative work culture, with flexibility for remote work.
Senior Data Platform Engineer: Remote & High-Impact Pipelines employer: Keyrock
Keyrock is an exceptional employer, offering a dynamic and inclusive work culture that thrives on innovation and collaboration. With a diverse team of over 180 members from 42 nationalities, employees benefit from flexible working hours, remote opportunities, and the chance to contribute to pioneering projects in the digital asset space. The company fosters personal and professional growth through its Accelerator Program and encourages a proactive approach to shaping the future of trading strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform Engineer: Remote & High-Impact Pipelines
✨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. You never know who might have a lead or can refer you to a position at Keyrock.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data pipelines and projects. This will give potential employers a taste of what you can do, especially when it comes to Python and SQL.
✨Tip Number 3
Prepare for those interviews! Brush up on common data engineering questions and be ready to discuss your experience with streaming technologies. We want you to shine and show how you can contribute to the Central Data Team.
✨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 are proactive about their job search.
We think you need these skills to ace Senior Data Platform Engineer: Remote & High-Impact Pipelines
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data systems, especially with Python and SQL. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re excited about the role and how your background makes you a perfect fit for our Central Data Team. Keep it engaging and personal!
Showcase Your Projects:If you've worked on any cool data pipelines or governance projects, make sure to mention them! We love seeing real-world examples of your work that demonstrate your expertise and problem-solving skills.
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Keyrock
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data systems, especially focusing on resilient data pipelines. Be ready to discuss your past experiences and how you've tackled challenges in building data platforms.
✨Show Off Your Python and SQL Skills
Prepare to demonstrate your proficiency in Python and SQL during the interview. You might be asked to solve a problem or explain how you've used these languages in previous projects, so have some examples ready.
✨Familiarise Yourself with Streaming Technologies
Since familiarity with streaming technologies is key for this role, do some research on the latest tools and trends. Be prepared to discuss how you've implemented these technologies in your work and their impact on data governance.
✨Emphasise Collaboration and Flexibility
Keyrock values a collaborative work culture, so highlight your experience working with cross-functional teams. Share examples of how you've adapted to different team dynamics and contributed to a flexible work environment.
