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- Tasks: Design and develop high-performance data pipelines to shape the future of fashion.
- Company: Join ASOS, a leading online retailer committed to inclusivity and creativity.
- Benefits: Enjoy employee discounts, flexible benefits, and 25 days paid leave plus a celebration day.
- Why this job: Make an impact at the intersection of fashion and technology with cutting-edge data solutions.
- Qualifications: Experience in cloud-native environments and strong skills in Python and SQL required.
- Other info: Collaborate in an agile team and enjoy excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you’re free to be your true self without judgement and channel your creativity into a platform used by millions.
Shape the future of fashion through data. At ASOS, data isn’t just numbers, it’s the heartbeat of our business. With millions of customers worldwide and billions of interactions every year, we’re building one of the most advanced data platforms in eCommerce. This is your chance to work at the intersection of fashion and technology, designing solutions that power personalised experiences, optimise global operations, and unlock insights at scale. You’ll be part of a team that’s transforming how ASOS uses data to innovate faster, predict trends, and deliver the ultimate shopping experience.
What You’ll Be Doing:
- Designing and developing large-scale, high-performance data pipelines for batch and real-time processing.
- Leveraging Azure services (Data Factory, Event Hubs, Service Bus) and Databricks to orchestrate complex workflows.
- Building robust ingestion and transformation frameworks using Spark/PySpark and Python, ensuring data quality and reliability.
- Implementing CI/CD pipelines for automated deployment and testing with tools like Azure DevOps and GitHub Actions.
- Collaborating in an agile, cross-functional team, working closely with data scientists, engineers, and product stakeholders.
- Driving best practices in data architecture, security, and infrastructure-as-code (Terraform/Bicep).
About You:
- Proven experience as a Data Engineer in cloud-native environments.
- Strong programming skills in Python (and ideally Scala) plus solid SQL knowledge.
- Hands-on expertise with Azure Databricks, Azure Data Factory, and Spark.
- Understanding of data modelling, ETL/ELT patterns, and distributed computing.
- Experience with CI/CD workflows, version control (Git), and testing frameworks (pytest, ScalaTest).
- Knowledge of open table formats (Delta, Iceberg, Apache Hudi).
- Familiarity with Infrastructure as Code tools (Terraform or Bicep).
- Proven implementation experience in data governance principles, including data catalogs, lineage, security, and data quality management.
- Experience or familiarity with Agentic AI concepts or agent-based AI solutions is considered an advantage.
Additional Information:
- Employee discount (hello ASOS discount!)
- Employee sample sales
- 25 days paid annual leave + an extra celebration day for a special moment
- Discretionary bonus scheme
- Private medical care scheme
- Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits
- Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role.
Senior Data Engineer employer: ASOS.com
Contact Detail:
ASOS.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current ASOS employees on LinkedIn, join relevant groups, and attend industry meetups. Building connections can give you insider info and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨Tip Number 3
Show your passion for data and fashion! Research ASOS’s latest innovations and think about how you can contribute. Bring fresh ideas to the table during your interview to stand out from the crowd.
✨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 ASOS team!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let your enthusiasm for data engineering shine through! Share specific examples of projects you've worked on that highlight your skills and how they relate to the role at ASOS.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Senior Data Engineer position. Use keywords from the job description and demonstrate how your experience aligns with what we're looking for. This shows us you’ve done your homework!
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless it’s relevant, and make sure to highlight your key achievements in a straightforward manner.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about ASOS and our culture.
How to prepare for a job interview at ASOS.com
✨Know Your Data Inside Out
Make sure you brush up on your data engineering skills, especially with Azure services like Data Factory and Databricks. Be ready to discuss your experience with building data pipelines and how you've tackled challenges in previous projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've solved complex data issues in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking.
✨Familiarise Yourself with ASOS Culture
Understand ASOS's commitment to inclusivity and creativity. Think about how your values align with theirs and be ready to discuss how you can contribute to their mission of empowering customers and employees alike.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about the team dynamics, ongoing projects, or how they measure success in data initiatives. This not only shows your enthusiasm but also helps you gauge if ASOS is the right fit for you.