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) 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 environment for those looking to make a meaningful impact in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer — Data Science Platform (Azure)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at ASOS or similar companies. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects using Python and Scala. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data engineering scenarios and be ready to discuss how you've optimised data processes in the past.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Senior Data Engineer — Data Science Platform (Azure)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Python, Scala, and Databricks, and showcase any projects where you've designed scalable data pipelines. We want to see how your skills align with what we're looking for!
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. Don't forget to mention your collaborative spirit and focus on data quality – we love that!
Showcase Your Projects:If you've worked on relevant projects, make sure to include them in your application. Whether it's a personal project or something from a previous job, we want to see your hands-on experience with data engineering practices and technologies.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at ASOS
✨Know Your Tech Stack
Make sure you brush up on your knowledge of Python, Scala, and Databricks. Be ready to discuss how you've used these technologies in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Data Pipeline Skills
Prepare to talk about your experience designing and implementing scalable data pipelines. Have specific examples ready that demonstrate your ability to optimise data accessibility and quality, as this is crucial for the role.
✨Collaboration is Key
ASOS values teamwork, so be prepared to discuss how you've collaborated with product teams in the past. Highlight any instances where your input helped drive standardisation across data processes.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, current projects, or how they measure success in the role. This shows your genuine interest in the position and helps you gauge if it’s the right fit for you.
