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- Tasks: Manage and secure data in a Lakehouse environment while implementing governance frameworks.
- Company: Leading UK tech company focused on innovation and data security.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact on data governance and compliance.
- Qualifications: Experience with AWS, Snowflake, and knowledge of data governance principles.
- Other info: Exciting career development opportunities in a collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading UK tech company is seeking a Data Governance Engineer to manage and secure their data Lakehouse environment. You will implement governance frameworks and collaborate with various teams to ensure compliance with data privacy regulations.
The ideal candidate will have strong experience in cloud platforms like AWS and Snowflake, and knowledge of data governance principles. This role offers a hybrid work environment and opportunities for professional growth.
Hybrid Data Governance Engineer - Secure Data & AI in Theale employer: Bottomline
Contact Detail:
Bottomline Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Governance Engineer - Secure Data & AI in Theale
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We can’t stress enough how personal connections can lead to job opportunities, especially in tech.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to data governance and cloud platforms. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data governance scenarios and compliance questions. We recommend practising with a friend or using mock interview platforms to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s 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 Hybrid Data Governance Engineer - Secure Data & AI in Theale
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with cloud platforms like AWS and Snowflake. We want to see how your skills align with the Data Governance Engineer role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data governance and how you can contribute to our team. We love seeing enthusiasm and a personal touch!
Showcase Your Knowledge: In your application, mention any specific governance frameworks or compliance regulations you’ve worked with. We’re looking for someone who knows their stuff, so let us know how you can help secure our data Lakehouse environment.
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. Plus, it’s super easy!
How to prepare for a job interview at Bottomline
✨Know Your Data Governance Principles
Make sure you brush up on data governance principles before the interview. Be ready to discuss how you've implemented these frameworks in past roles, especially in relation to compliance with data privacy regulations.
✨Showcase Your Cloud Experience
Since the role requires strong experience with cloud platforms like AWS and Snowflake, prepare specific examples of projects where you've used these technologies. Highlight any challenges you faced and how you overcame them.
✨Collaboration is Key
This position involves working with various teams, so be prepared to talk about your collaboration skills. Share examples of how you've successfully worked with cross-functional teams to achieve data governance goals.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company's current data governance challenges or their vision for the data Lakehouse environment. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
