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- Tasks: Build scalable data structures and ensure data governance best practices.
- Company: Leader in maritime technology with a focus on innovation.
- Benefits: Competitive salary, inclusive onboarding, and wellness programs.
- Why this job: Join a remote team and make an impact in maritime tech.
- Qualifications: Experience with Data Vault 2.0, Google BigQuery, and Cloud Composer.
- Other info: Fully remote position with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A leader in maritime technology is seeking a Data Engineer to enhance their data engineering team. This position involves building scalable data structures using Data Vault 2.0 and ensuring best practices in data governance and security.
The ideal candidate will have a solid foundation in Google BigQuery and Cloud Composer, and be able to work within a fully remote team.
Attractive benefits include competitive salary, inclusive onboarding, and wellness programs.
Senior Data Engineer — Data Vault 2.0 on BigQuery (Remote) employer: Marcura
Contact Detail:
Marcura Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer — Data Vault 2.0 on BigQuery (Remote)
✨Tip Number 1
Network like a pro! Reach out to folks in the maritime tech space or data engineering communities. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with Data Vault 2.0 and Google BigQuery. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of data governance and security best practices. Being able to discuss these topics confidently will set you apart from the competition.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that dream job, and applying directly can sometimes give you an edge.
We think you need these skills to ace Senior Data Engineer — Data Vault 2.0 on BigQuery (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Data Vault 2.0 and Google BigQuery. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about data engineering and how you can contribute to our team. Keep it engaging and personal – we love getting to know the real you.
Showcase Your Remote Work Skills: Since this role is fully remote, highlight any previous remote work experience. Let us know how you stay organised and communicate effectively in a virtual environment – it’s super important for us!
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 the role. Plus, it’s quick and easy!
How to prepare for a job interview at Marcura
✨Know Your Data Vault 2.0
Make sure you brush up on your Data Vault 2.0 knowledge before the interview. Be ready to discuss how you've implemented it in past projects and how it can enhance data structures. This shows you're not just familiar with the theory but have practical experience too.
✨Showcase Your BigQuery Skills
Since the role requires a solid foundation in Google BigQuery, prepare to talk about specific projects where you've used it. Highlight any challenges you faced and how you overcame them. This will demonstrate your problem-solving skills and technical expertise.
✨Emphasise Remote Work Experience
As this is a fully remote position, it's crucial to highlight your experience working in remote teams. Share examples of how you've effectively communicated and collaborated with colleagues from different locations. This will reassure them that you can thrive in their remote environment.
✨Understand Data Governance and Security
Familiarise yourself with best practices in data governance and security, as these are key aspects of the role. Be prepared to discuss how you've ensured data integrity and compliance in your previous roles. This will show that you take data management seriously and understand its importance.
