Staff Data Engineer - Data Platform & Quality in London

Staff Data Engineer - Data Platform & Quality in London

London Full-Time 60000 - 80000 € / year (est.) No home office possible
Omaze

At a Glance

  • Tasks: Design and maintain data pipelines while ensuring quality and compliance.
  • Company: Omaze, a diverse workplace in the heart of London.
  • Benefits: Generous stock options, 25 days annual leave, and private medical insurance.
  • Other info: Great opportunity for career growth in a collaborative environment.
  • Why this job: Join a dynamic team and make an impact on data quality and observability.
  • Qualifications: Extensive experience with data warehousing and orchestration tools.

The predicted salary is between 60000 - 80000 € per year.

Omaze is seeking a Staff Data Engineer in Holborn, London. You will design and maintain data pipelines, ensuring quality, observability, and compliance. The ideal candidate has extensive experience with data warehousing software, orchestration tools, and a solid understanding of scalable data architectures.

The role offers generous stock options, 25 days of annual leave, and private medical insurance, promoting a diverse workplace environment.

Staff Data Engineer - Data Platform & Quality in London employer: Omaze

Omaze is an exceptional employer that values innovation and collaboration, offering a vibrant work culture in the heart of Holborn, London. With generous benefits such as stock options, 25 days of annual leave, and private medical insurance, employees are encouraged to thrive both personally and professionally. The company fosters a diverse environment and provides ample opportunities for growth, making it an ideal place for those seeking meaningful and rewarding careers in data engineering.

Omaze

Contact Detail:

Omaze Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Staff Data Engineer - Data Platform & Quality in London

Tip Number 1

Network like a pro! Reach out to current or former employees at Omaze 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 or case studies showcasing your experience with data pipelines and scalable architectures. This will help us stand out during interviews.

Tip Number 3

Practice makes perfect! Mock interviews with friends or mentors can help us nail those tricky questions about data warehousing and orchestration tools.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.

We think you need these skills to ace Staff Data Engineer - Data Platform & Quality in London

Data Pipeline Design
Data Quality Assurance
Observability
Compliance
Data Warehousing Software
Orchestration Tools
Scalable Data Architectures

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with data warehousing software and orchestration tools. We want to see how your skills align with the 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 engineering and how you can contribute to our team at Omaze. Keep it engaging and personal – we love to see your personality!

Showcase Your Technical Skills:In your application, be sure to mention specific technologies and methodologies you’ve worked with. We’re looking for someone who understands scalable data architectures, so give us the details on your experience!

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 don’t miss out on any important updates from our team!

How to prepare for a job interview at Omaze

Know Your Data Tools

Make sure you brush up on your knowledge of data warehousing software and orchestration tools. Be ready to discuss specific projects where you've used these technologies, as it shows you can apply your skills in real-world scenarios.

Showcase Your Problem-Solving Skills

Prepare to talk about challenges you've faced in maintaining data quality and compliance. Use the STAR method (Situation, Task, Action, Result) to structure your answers, demonstrating how you tackled issues effectively.

Understand Scalable Architectures

Familiarise yourself with scalable data architectures and be prepared to explain how you've designed or worked with them in the past. This will show that you have the technical depth needed for the role.

Cultural Fit Matters

Omaze values a diverse workplace, so think about how your experiences and values align with their culture. Be ready to share examples of how you've contributed to a positive team environment in previous roles.