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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: Great 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 - 80000 £ 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) in London employer: Keyrock
Contact Detail:
Keyrock Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Platform Engineer (Remote-First) in London
✨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 directly to hiring managers.
✨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 take the initiative to connect with us directly. Plus, it shows you're genuinely interested in joining our collaborative team culture.
We think you need these skills to ace Senior Data Platform Engineer (Remote-First) in London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 8+ years in data systems right at the start. We want to see your journey and how you've tackled challenges in the past, especially with Python and SQL.
Tailor Your Application: Don’t just send a generic CV! We love it when candidates customise their applications to fit the role. Mention specific projects where you’ve built data pipelines or established data quality frameworks.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s relevant. Make it easy for us to see why you’re the perfect fit for our team!
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 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 where you've built data pipelines or established data quality frameworks. This will show that you have the hands-on experience Keyrock is looking for.
✨Showcase Your Streaming Tech Experience
Since streaming technologies are part of the 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 will demonstrate your expertise and how you can contribute to the team.
✨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 others to achieve project goals, as this will resonate well with their team-oriented approach.
✨Ask Insightful Questions
Prepare some thoughtful questions about Keyrock's data platform and their future projects. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals. It’s a win-win!