At a Glance
- Tasks: Standardise data workloads and implement best practices using Python and Spark.
- Company: Join ASOS, a leading fashion retailer with a focus on innovation.
- Benefits: Enjoy employee discounts, 25 days paid leave, and medical care.
- Other info: Be part of a dynamic team and contribute to the full data lifecycle.
- Why this job: Thrive in an innovative environment and empower customers worldwide.
- Qualifications: Experience with data engineering and a passion for collaboration.
The predicted salary is between 50000 - 70000 £ per year.
ASOS is looking for a Data Engineer to contribute to our platform by standardising data workloads and implementing best practices. You will work with Python and Spark, collaborating with teams across ASOS Tech and participating in the full data lifecycle management process.
We offer great benefits including employee discounts, 25 days paid leave, and medical care. Join us to thrive in an innovative environment and support our mission to empower customers worldwide.
Data & ML Platform Engineer employer: ASOS
ASOS is an excellent employer for a Data & ML Platform Engineer, offering a vibrant and innovative work culture that fosters collaboration and creativity. With benefits like employee discounts, 25 days of paid leave, and comprehensive medical care, ASOS prioritises the well-being and growth of its employees, making it a rewarding place to advance your career in technology.
StudySmarter Expert Advice🤫
We think this is how you could land Data & ML Platform Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at ASOS on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your Python and Spark projects. This will not only demonstrate your expertise but also make you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common data engineering interview questions. Mock interviews with friends or using online resources can help you nail it when the time comes.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data & ML Platform Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data & ML Platform Engineer role. Highlight your experience with Python and Spark, and any relevant projects that showcase your skills in standardising data workloads.
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 ASOS's mission. Don’t forget to mention your collaborative spirit and experience in the full data lifecycle management process.
Showcase Your Projects:If you've worked on any interesting data projects, make sure to include them in your application. We love seeing real-world examples of your work, especially if they involve innovative solutions or best practices in data management.
Apply Through Our Website:We encourage you to apply through our website for the best experience. It’s super easy, and you’ll be able to keep track of your application status. Plus, we want to see your application in the best light possible!
How to prepare for a job interview at ASOS
✨Know Your Tech Stack
Make sure you’re well-versed in Python and Spark, as these are key to the role. Brush up on your coding skills and be ready to discuss how you've used these technologies in past projects.
✨Understand Data Workloads
Familiarise yourself with standardising data workloads and best practices in data engineering. Be prepared to share examples of how you've implemented these in previous roles or projects.
✨Collaboration is Key
Since you'll be working with various teams, think about times when you've successfully collaborated on projects. Highlight your communication skills and how you can contribute to a team-oriented environment.
✨Show Your Passion for Innovation
ASOS values innovation, so come ready to discuss how you stay updated with industry trends and technologies. Share any personal projects or learning experiences that demonstrate your enthusiasm for data engineering.
