At a Glance
- Tasks: Design frameworks to enhance data reliability and compliance in a leading online marketplace.
- Company: Join a top online marketplace in Greater London with a focus on data excellence.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by ensuring data accuracy and empowering teams with robust systems.
- Qualifications: Experience in data governance and proficiency in Python, Java, or Scala required.
- Other info: Be part of a dynamic team dedicated to building trustworthy data ecosystems.
The predicted salary is between 43200 - 72000 Β£ per year.
A leading online marketplace in Greater London is seeking a Staff Data Engineer to enhance the reliability, trust, and compliance of its data ecosystem. You will design frameworks and processes that strengthen data foundations and ensure accuracy and observability.
The ideal candidate has substantial experience in data governance and observability frameworks, with a strong proficiency in Python, Java, or Scala. Join us in building data systems that empower teams and ensure compliance with GDPR regulations.
Staff Data Quality & Governance Engineer in London employer: Depop
Contact Detail:
Depop Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Staff Data Quality & Governance Engineer in London
β¨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
β¨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to data governance and observability. This gives potential employers a taste of what you can do.
β¨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. We recommend practising with friends or using mock interview platforms to build your confidence.
β¨Tip Number 4
Donβt forget to apply through our website! Itβs the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Staff Data Quality & Governance Engineer in London
Some tips for your application π«‘
Show Off Your Skills: Make sure to highlight your experience with data governance and observability frameworks. We want to see how your skills in Python, Java, or Scala can enhance our data ecosystem.
Tailor Your Application: Donβt just send a generic application! Customise your CV and cover letter to reflect the specific requirements of the Staff Data Quality & Governance Engineer role. We love seeing how you connect your experience to what weβre looking for.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the job description.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. Itβs the easiest way for us to track your application and ensure it reaches the right people!
How to prepare for a job interview at Depop
β¨Know Your Data Governance
Make sure you brush up on your knowledge of data governance frameworks. Be ready to discuss how you've implemented these in past roles, and think about specific examples where you've improved data reliability or compliance.
β¨Showcase Your Technical Skills
Since the role requires proficiency in Python, Java, or Scala, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges beforehand to keep your skills sharp.
β¨Understand GDPR Regulations
As compliance with GDPR is crucial, ensure you have a solid understanding of these regulations. Be ready to explain how you've ensured compliance in previous projects and how you would approach it in this new role.
β¨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data ecosystem and their current challenges. This shows your genuine interest in the role and helps you assess if it's the right fit for you.