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- Tasks: Build and optimise data products that drive business impact in fashion retail.
- Company: Join COS, a leader in innovative fashion retail with a focus on data.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Dive into exciting AI and analytics projects that shape the future of fashion.
- Qualifications: Experience in data engineering and a passion for solving complex problems.
- Other info: Collaborative environment with a focus on continuous improvement and innovation.
The predicted salary is between 60000 - 80000 £ per year.
If you are passionate about data and eager to tackle some of the most interesting AI, analytics and data use cases in the fashion retail industry, COS is the place for you! We are looking for an experienced data engineer who likes to resolve complex issues and choose the best course of action. In this exciting and critical role, you will help us build data products that directly impact business spanning all global COS.
You will join COS data engineering team within COS AI, analytics and data (aiad) function. We appreciate a multitude of technical backgrounds, and we believe you will enjoy working here if you are passionate about data. In this role, you will be required to implement data-intensive solutions for a data-driven organization.
What you will do:
- Take end-to-end responsibility to build, optimize and support existing and new data products towards the defined target vision.
- Be a champion of DevOps mindset and principles and able to manage CI/CD pipelines and terraform as well as Cloud infrastructure, in our context, it is GCP (Google Cloud Platform).
- Ensure that our built data products work as independent units of deployment and non-functional aspects of the data products follow the defined standards for security, scalability, observability, and performance.
- Develop and optimize complex data pipelines, ensuring smooth data flow across multiple business domains.
- Understand business issues, create data-driven solutions and present them to stakeholders, ensuring alignment with the business goals.
- Work closely with the stakeholders around vision for existing data products and identifying new data products to support our business needs.
- Work with product teams within COS and across H&M group around topics that relate to our data modernization initiative.
- Evaluate and drive continuous improvement and reducing technical debt in the teams.
- Maintain expertise in latest AI, analytics/data and cloud technologies.
Senior Data Engineer in London employer: Cos
Contact Detail:
Cos Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at COS or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your data projects. This is your chance to demonstrate your expertise in building data products and optimising pipelines.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss how you've tackled complex issues in the past and how you can bring that experience to COS.
✨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, it shows you're genuinely interested in joining the COS team.
We think you need these skills to ace Senior Data Engineer in London
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data shine through! Share specific examples of how you've tackled complex data challenges in the past. We want to see that you're not just skilled, but genuinely excited about the impact data can have in the fashion retail industry.
Tailor Your Application: Make sure to customise your CV and cover letter for this role. Highlight your experience with GCP, CI/CD pipelines, and any relevant data products you've worked on. We appreciate a multitude of technical backgrounds, so don’t hesitate to showcase your unique skills that align with our needs!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your experiences and achievements. We’re looking for someone who can communicate effectively, especially when it comes to presenting data-driven solutions to stakeholders.
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 gives you a chance to explore more about COS and what we stand for!
How to prepare for a job interview at Cos
✨Know Your Data Inside Out
Make sure you brush up on your data engineering skills, especially around building and optimising data pipelines. Be ready to discuss specific projects where you've tackled complex data issues, as this will show your hands-on experience and problem-solving abilities.
✨Show Off Your DevOps Mindset
Since the role emphasises a DevOps approach, be prepared to talk about your experience with CI/CD pipelines and cloud infrastructure, particularly GCP. Share examples of how you've implemented these practices in past roles to demonstrate your capability in managing data products effectively.
✨Align with Business Goals
Understand COS's business model and how data products can drive value. Think of examples where you've created data-driven solutions that aligned with business objectives, and be ready to discuss how you can bring that same focus to COS.
✨Stay Updated on Trends
The fashion retail industry is fast-paced, so it’s crucial to stay informed about the latest trends in AI, analytics, and cloud technologies. Mention any recent developments or tools you've been exploring, as this shows your passion for continuous improvement and innovation in data engineering.