At a Glance
- Tasks: Design and implement scalable data pipelines in Azure, optimising workflows with Data Scientists.
- Company: Join ASOS.com, a leading online fashion retailer with a vibrant culture.
- Benefits: Enjoy employee discounts, flexible benefits, 25 days annual leave, and a special celebration day.
- Why this job: Make an impact by mentoring teams and working with cutting-edge data technologies.
- Qualifications: Strong experience in Azure, Python, and data lifecycle management required.
The predicted salary is between 60000 - 80000 € per year.
ASOS.com is searching for a Senior Data Engineer to design and implement scalable data pipelines within their Azure ecosystem. The role involves working with Data Scientists and Engineers to optimize data workflows while mentoring teams on modern engineering practices. Candidates should have strong experience in Azure, Python, and data lifecycle management.
Benefits include:
- Employee discount
- Flexible benefits allowance
- 25 days paid annual leave
- Special celebration day
Senior Data Platform Engineer | Azure, Databricks, PySpark in London employer: ASOS.com
ASOS.com is an exceptional employer that fosters a collaborative and innovative work culture, where Senior Data Engineers can thrive while designing impactful data solutions. With a strong emphasis on employee growth through mentorship opportunities and a flexible benefits package, including generous annual leave and discounts, ASOS.com ensures that its team members are well-supported and valued in their roles.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform Engineer | Azure, Databricks, PySpark in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at ASOS.com on LinkedIn. A friendly chat can give us insider info and maybe even a referral, which can really boost our chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with Azure, Databricks, and PySpark. We want to demonstrate how we can design and implement those scalable data pipelines they’re after.
✨Tip Number 3
Practice makes perfect! Get ready for the interview by brushing up on common data engineering questions and scenarios. We should be ready to discuss how we’ve optimised data workflows in the past.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen by the right people. Plus, it shows we’re genuinely interested in joining the ASOS team.
We think you need these skills to ace Senior Data Platform Engineer | Azure, Databricks, PySpark in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure, Python, and data lifecycle management. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
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 our team at ASOS.com. Keep it engaging and personal – we love a good story!
Showcase Your Team Spirit:Since this role involves mentoring and collaboration, highlight any experiences where you’ve worked with others to achieve a common goal. We value teamwork, so let us know how you can bring that spirit to our team!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our awesome team at ASOS.com!
How to prepare for a job interview at ASOS.com
✨Know Your Azure Inside Out
Make sure you brush up on your Azure knowledge before the interview. Familiarise yourself with the specific services ASOS uses and be ready to discuss how you've implemented scalable data pipelines in the past.
✨Show Off Your Python Skills
Prepare to demonstrate your proficiency in Python, especially in relation to data processing. Have examples ready where you've used PySpark to optimise workflows or manage data lifecycles effectively.
✨Collaboration is Key
Since you'll be working closely with Data Scientists and Engineers, be prepared to talk about your experience in team settings. Share examples of how you've mentored others or collaborated on projects to enhance data engineering practices.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in ASOS's data strategy. Inquire about their current challenges in data management or how they envision the role evolving, which will demonstrate your enthusiasm for the position.
