At a Glance
- Tasks: Build and optimise data products that drive business impact in fashion retail.
- Company: Join COS, a forward-thinking brand within the H&M Group.
- Benefits: Enjoy a 25% staff discount, flexible working, and extensive development opportunities.
- Other info: Collaborative environment with a focus on diversity and inclusion.
- Why this job: Work with cutting-edge AI and analytics to shape the future of fashion retail.
- Qualifications: Experience in data engineering, cloud technologies, and strong communication skills.
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 close to 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.
Qualifications:
- Alignment to our company values is the most important characteristic we look for in all new joiners. Our values are the behaviours that we appreciate above and beyond anything else.
- Extensive work experience including hands-on as either:
- Data engineer on modern cloud data platforms /or advanced analytics environments.
- Software Engineer with cloud technologies and infrastructure.
Additional Information:
This is a Full time permanent contract based at our Head Office in London.
Benefits:
- We offer all our employees attractive benefits with extensive development opportunities around the globe.
- All our employees receive a 25% staff discount usable on all our H&M Group brands in stores and online.
- 20 days holiday.
- Discounts on everyday brands and leisure activities.
- Retail Trust membership.
- Pension scheme.
- Discounted gym membership.
- Cycle to work scheme.
Inclusion & Diversity:
At COS we're determined to create and maintain inclusive, diverse and equitable workplaces throughout our organisation. Our teams should consist of a variety of people who share and combine their knowledge, experience and ideas. Having a diverse workforce leads to a positive impact on how we address challenges, what we perceive as possible and how we choose to relate to our colleagues and customers all over the world, therefore all diversity dimensions are taken into consideration in our recruitment process.
In this role you will have some flexibility to work remotely however due to the high level of cross department collaborations approx. 3 days per week office presence is required to foster strong collaborations and team work.
COS Data Engineer (Senior) in London employer: Cos
Contact Detail:
Cos Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land COS Data Engineer (Senior) in London
✨Tip Number 1
Network like a pro! Reach out to current employees at COS or in the data engineering field. A friendly chat can give you insider info and might just lead to a referral, which is always a bonus!
✨Tip Number 2
Show off your skills! Prepare a portfolio of your past projects, especially those involving data pipelines or cloud technologies. Being able to demonstrate your hands-on experience can really set you apart during interviews.
✨Tip Number 3
Get ready for the technical grill! Brush up on your SQL and programming languages like Python or Java. Be prepared to solve real-world problems on the spot, as they love seeing how you tackle challenges.
✨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 COS Data Engineer (Senior) 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 and how they relate to the role at COS.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter to highlight your relevant experience and skills. Use keywords from the job description to show that you understand what we're looking for in a Senior Data Engineer.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your achievements and how they align with our goals at COS.
Apply Through Our Website: We encourage you to apply directly through our website. This way, your application will be processed more efficiently, and you'll have access to all the latest updates about the position and our company!
How to prepare for a job interview at Cos
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data engineering concepts, especially those relevant to cloud platforms like GCP. Be ready to discuss your experience with data formats like Avro and Parquet, as well as your proficiency in SQL or similar query languages.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data issues in the past. Highlight your ability to create data-driven solutions that align with business goals, as this will demonstrate your understanding of the role's responsibilities.
✨Emphasise Collaboration and Communication
Since this role involves working closely with stakeholders, be prepared to discuss how you've successfully collaborated in previous projects. Share instances where your communication skills helped bridge gaps between technical and non-technical teams.
✨Demonstrate a DevOps Mindset
Familiarise yourself with DevOps principles and be ready to talk about your experience managing CI/CD pipelines and cloud infrastructure. Showing that you can take ownership and drive continuous improvement will resonate well with COS's values.