At a Glance
- Tasks: Design and implement scalable data pipelines using Python and Scala.
- Company: Join ASOS, a leading fashion retailer with a focus on innovation.
- Benefits: Enjoy private medical care and a flexible benefits allowance.
- Other info: Collaborate with product teams and drive standardisation across data processes.
- Why this job: Make an impact by optimising data accessibility and quality in a dynamic environment.
- Qualifications: Strong experience in data engineering and proficiency in Databricks.
The predicted salary is between 60000 - 80000 € per year.
ASOS is seeking a Senior Data Engineer for their Data Science Platform in Greater London. This role involves designing and implementing scalable data pipelines using Python and Scala, while collaborating with product teams to optimize data accessibility and quality.
The ideal candidate should have strong experience in data engineering practices, proficiency in relevant technologies like Databricks, and a focus on driving standardization across data processes.
Benefits include private medical care and flexible benefits allowance.
Senior Data Engineer — Data Science Platform (Azure) in London employer: ASOS
ASOS is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the vibrant tech hub of Greater London. Employees benefit from comprehensive private medical care, a flexible benefits allowance, and ample opportunities for professional growth, making it an ideal place for those looking to make a meaningful impact in the data engineering field.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer — Data Science Platform (Azure) in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at ASOS 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 GitHub repository showcasing your data engineering projects. This is a great way to demonstrate your expertise in Python, Scala, and Databricks to potential employers.
✨Tip Number 3
Ace the interview prep! Research common data engineering interview questions and practice your answers. We should also be ready to discuss how we’ve optimised data processes in past roles—real examples go a long way!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we can tailor our CV and cover letter to highlight our experience with scalable data pipelines and collaboration with product teams.
We think you need these skills to ace Senior Data Engineer — Data Science Platform (Azure) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data engineering practices and technologies like Python, Scala, and Databricks. 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 Data Science Platform. We love seeing enthusiasm and a clear understanding of the role.
Showcase Collaboration Skills:Since this role involves working closely with product teams, make sure to mention any past experiences where you’ve collaborated effectively. We value teamwork, so let us know how you’ve driven standardization and improved data processes in previous roles.
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 able to keep track of your application status. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at ASOS
✨Know Your Tech Stack
Make sure you’re well-versed in Python, Scala, and Databricks. Brush up on your knowledge of data engineering practices and be ready to discuss how you've used these technologies in past projects. This will show ASOS that you can hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've designed and implemented scalable data pipelines. Think about challenges you faced and how you overcame them. This will demonstrate your ability to collaborate with product teams and optimise data accessibility.
✨Understand Data Quality and Standardisation
ASOS is looking for someone who can drive standardisation across data processes. Be ready to discuss your approach to ensuring data quality and how you’ve implemented best practices in previous roles. This shows you’re aligned with their goals.
✨Ask Insightful Questions
Prepare thoughtful questions about ASOS's data science platform and their current projects. This not only shows your interest in the role but also gives you a chance to assess if the company culture and team dynamics are a good fit for you.
