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- Tasks: Build reliable data pipelines and enhance data warehousing and reporting.
- Company: Leading biometric technology provider in London with a focus on innovation.
- Benefits: Competitive salary, share options, performance bonuses, and hybrid work model.
- Why this job: Join a talented team and make an impact in the exciting field of biometric technology.
- Qualifications: Proficient in Python and familiar with Google Cloud Platform and Kubernetes.
The predicted salary is between 50000 - 65000 £ per year.
A leading biometric technology provider in London seeks a Data Engineer to advance their data warehousing and reporting capabilities. In this role, you will help build reliable data pipelines while collaborating with talented teams.
The ideal candidate is proficient in Python and familiar with Google Cloud Platform, Kubernetes, and data management.
This hybrid position offers a competitive salary between £50,000 and £65,000 along with numerous benefits including share options and performance bonuses.
Data Engineer: Cloud Data Pipelines & BI (Hybrid, London) employer: iProov
Contact Detail:
iProov Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Cloud Data Pipelines & BI (Hybrid, London)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 data pipelines and any projects you've worked on. This is your chance to demonstrate your proficiency in Python and Google Cloud Platform, so make it shine!
✨Tip Number 3
Prepare for those interviews! Research common questions for Data Engineers and practice your answers. Be ready to discuss your experience with Kubernetes and data management, as these are key for the role.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Engineer: Cloud Data Pipelines & BI (Hybrid, London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Google Cloud Platform, and Kubernetes. 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 excited about the Data Engineer position and how you can contribute to our data warehousing and reporting capabilities. Keep it engaging and personal!
Showcase Your Team Spirit: Collaboration is key in this role, so let us know about your experiences working in teams. Share examples of how you’ve successfully collaborated on projects, especially in data management or engineering contexts.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and get you one step closer to joining our talented team!
How to prepare for a job interview at iProov
✨Know Your Tech Stack
Make sure you brush up on your Python skills and get familiar with Google Cloud Platform and Kubernetes. Be ready to discuss how you've used these technologies in past projects, as this will show your practical experience and understanding of the tools they'll expect you to use.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced while building data pipelines or managing data. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for the interviewer to see how you approach problems and find solutions.
✨Collaborate and Communicate
Since this role involves working with talented teams, be ready to discuss your collaboration experiences. Share examples of how you've worked with others to achieve a common goal, and highlight your communication skills, especially when explaining complex technical concepts to non-technical stakeholders.
✨Research the Company
Take some time to learn about the biometric technology provider and their products. Understanding their mission and values will help you tailor your responses and demonstrate your genuine interest in the role. Plus, it gives you a chance to ask insightful questions that show you're engaged and eager to contribute.
