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- Tasks: Enhance data quality and manage metadata for a leading cryptocurrency platform.
- Company: Join a top-tier cryptocurrency platform with a focus on innovation.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact on data governance in a fast-paced industry.
- Qualifications: 2+ years in data governance with strong Python and SQL skills.
- Other info: Exciting chance to advance your career in data engineering.
The predicted salary is between 36000 - 60000 £ per year.
A leading cryptocurrency platform is seeking a Data Governance Engineer to join their remote Data Platform Team. The successful candidate will support initiatives to improve data discoverability and reliability across the organization.
Responsibilities include:
- Managing metadata
- Contributing to data lineage
- Maintaining Airflow DAGs
Ideal candidates have at least 2 years experience in data governance with strong Python and SQL skills. This is a great opportunity to grow in the data engineering field.
Remote Data Governance Engineer: Data Quality & Pipelines employer: Kraken
Contact Detail:
Kraken Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Governance Engineer: Data Quality & Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the data governance space on LinkedIn or join relevant online communities. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with Python and SQL, especially any projects related to data quality and pipelines. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on common data governance questions and be ready to discuss your experience with metadata management and Airflow DAGs. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications that way!
We think you need these skills to ace Remote Data Governance Engineer: Data Quality & Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data governance, especially with Python and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data quality and pipelines. We love seeing candidates who can connect their personal interests with our mission at StudySmarter.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled data discoverability and reliability issues in the past. We’re looking for candidates who can think critically and come up with innovative solutions!
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 this exciting opportunity in our remote Data Platform Team!
How to prepare for a job interview at Kraken
✨Know Your Data Governance Basics
Make sure you brush up on the fundamentals of data governance, especially around metadata management and data lineage. Be ready to discuss how you've applied these concepts in your previous roles, as this will show your understanding and experience in the field.
✨Show Off Your Technical Skills
Since strong Python and SQL skills are a must for this role, prepare to demonstrate your proficiency. You might be asked to solve a problem or write a query during the interview, so practice coding challenges beforehand to ensure you're sharp and confident.
✨Familiarise Yourself with Airflow
As maintaining Airflow DAGs is part of the job, it’s crucial to understand how Airflow works. If you have experience with it, be prepared to share specific examples of how you've used it to manage data pipelines effectively.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data governance initiatives and how they measure data quality. This not only shows your interest but also helps you gauge if the company aligns with your career goals.
