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- Tasks: Build and maintain data pipelines while deploying services in the cloud.
- Company: Join Kraken, a leading digital asset exchange with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic work environment with a strong emphasis on software quality.
- Why this job: Be part of a globally growing team and make an impact in the data space.
- Qualifications: Proficiency in Python, SQL, DBT, AWS, and Terraform is essential.
The predicted salary is between 50000 - 70000 £ per year.
Kraken Digital Asset Exchange in Manchester is seeking an experienced Data Engineer to enhance its innovative data platform. You'll be responsible for building and maintaining data pipelines, deploying services in a cloud environment, and consulting on analytics best practices.
Ideal candidates will have proficiency in:
- Python
- SQL
- DBT
as well as experience with AWS and Terraform. This role emphasizes software quality and proactive problem-solving, within a globally growing organization.
Platform Data Engineer — ETL, ML & Analytics Pipelines in Manchester employer: Kraken Digital Asset Exchange
Contact Detail:
Kraken Digital Asset Exchange Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Platform Data Engineer — ETL, ML & Analytics Pipelines in Manchester
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Kraken on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data pipelines, ETL processes, and any cool projects you've done with Python, SQL, or AWS. This will help us stand out in interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your coding skills and problem-solving techniques. Use platforms like LeetCode or HackerRank to sharpen those abilities.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Platform Data Engineer — ETL, ML & Analytics Pipelines in Manchester
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your proficiency in Python, SQL, and DBT in your application. We want to see how your experience aligns with the role, so don’t hold back on showcasing your technical skills!
Tailor Your Application: Take a moment to customise your application for the Platform Data Engineer position. Mention specific projects or experiences that relate to building and maintaining data pipelines, as this will help us see your fit for the role.
Keep It Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point.
Apply Through Our Website: Don’t forget to submit your application through our website! This ensures we receive all the necessary information and helps us process your application smoothly. We can’t wait to hear from you!
How to prepare for a job interview at Kraken Digital Asset Exchange
✨Know Your Tech Stack
Make sure you brush up on your Python, SQL, and DBT skills before the interview. Be ready to discuss how you've used these technologies in past projects, especially in building and maintaining data pipelines.
✨Cloud Knowledge is Key
Since the role involves deploying services in a cloud environment, be prepared to talk about your experience with AWS and Terraform. Have specific examples ready that showcase your ability to manage cloud resources effectively.
✨Showcase Problem-Solving Skills
This position emphasises proactive problem-solving, so think of instances where you've tackled challenges in your previous roles. Be ready to explain your thought process and the impact of your solutions on the project or team.
✨Understand Analytics Best Practices
As you'll be consulting on analytics best practices, it’s crucial to demonstrate your knowledge in this area. Familiarise yourself with current trends and be prepared to discuss how you can apply them to enhance Kraken's data platform.