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- Tasks: Build and optimise data products while managing CI/CD pipelines on Google Cloud.
- Company: Leading fashion retail company in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the fashion industry with data.
- Qualifications: Experience in data engineering and familiarity with AI technologies required.
- Other info: Collaborative environment with a strong emphasis on continuous improvement.
The predicted salary is between 60000 - 80000 £ per year.
A leading fashion retail company in Greater London is seeking an experienced Data Engineer to join their data engineering team. In this role, you will take end-to-end responsibility for building and optimizing data products while managing CI/CD pipelines on Google Cloud Platform. You'll work closely with stakeholders to ensure alignment with business goals and drive continuous improvement in data solutions. A passion for data and familiarity with AI technologies is essential for success in this dynamic environment.
Senior Data Engineer: Data Products, Cloud & DevOps Lead employer: Cos
Contact Detail:
Cos Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Data Products, Cloud & DevOps Lead
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data products and CI/CD pipeline projects. We want to see how you’ve tackled challenges and optimised solutions in the past.
✨Tip Number 3
Be ready for technical interviews! Brush up on your Google Cloud Platform knowledge and be prepared to discuss AI technologies. We need to demonstrate our passion for data and problem-solving abilities.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Senior Data Engineer: Data Products, Cloud & DevOps Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data engineering, especially in building and optimising data products. We want to see how your skills align with our needs, so don’t be shy about showcasing your work with CI/CD pipelines and Google Cloud Platform.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for data and how you can contribute to our team. Mention any relevant AI technologies you've worked with, as this will show us you're ready for the dynamic environment we offer.
Showcase Your Stakeholder Engagement: In your application, highlight any experiences where you’ve worked closely with stakeholders. We value collaboration, so sharing examples of how you’ve aligned data solutions with business goals will definitely catch our eye!
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 shows us you’re keen on joining our team!
How to prepare for a job interview at Cos
✨Know Your Data Inside Out
Make sure you’re well-versed in the data products you've worked on. Be ready to discuss specific projects, the challenges you faced, and how you optimised those solutions. This will show your passion for data and your hands-on experience.
✨Familiarise Yourself with CI/CD Pipelines
Since this role involves managing CI/CD pipelines on Google Cloud Platform, brush up on your knowledge of these processes. Be prepared to explain how you’ve implemented or improved CI/CD in past roles, as this will demonstrate your technical expertise.
✨Align with Business Goals
Understand the company’s business objectives and think about how your work as a Data Engineer can support them. During the interview, share examples of how you’ve collaborated with stakeholders to ensure that data solutions align with business needs.
✨Show Your Passion for AI Technologies
Since familiarity with AI technologies is essential, be ready to discuss any relevant experience you have. Talk about how you’ve integrated AI into data products or how you see it evolving in the retail space. This will highlight your forward-thinking approach.