At a Glance
- Tasks: Design and deliver innovative data solutions using Azure and Spark.
- Company: Join ASOS, a fashion-forward tech company that values creativity and individuality.
- Benefits: Enjoy competitive pay, 25 days leave, private medical care, and employee discounts.
- Other info: Dynamic team culture with opportunities for personal and professional growth.
- Why this job: Make an impact with data while growing your skills in a collaborative environment.
- Qualifications: Experience in data solutions, problem-solving skills, and a passion for learning.
The predicted salary is between 50000 - 70000 £ per year.
We're ASOS. We blend our flair for fashion with our love of cutting-edge technology, but more importantly, we're interested in how we can bring the best out of you. We exist to give people 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 judgment, and channel your creativity into a platform used by millions.
ASOS Technology is going through an exciting period of investment and evolution, with several strategic programmes designed to support our continued global growth. Within ASOS Technology, the Digital Data Engineering team builds high-quality, scalable data solutions across the ASOS Digital domain. The team works with modern data platforms and engineering practices, supports product teams with data-driven insights, and helps shape standards that balance speed, quality, and long-term sustainability.
As a Data Engineer, you’ll contribute to a range of data projects, working closely with engineers, analysts, and architects. You’ll help teams make the most of their data while continuing to grow your own skills through collaboration, learning, and shared problem-solving.
What you'll be doing:
- Designing and delivering data solutions using the Microsoft Azure Data Platform
- Collaborating with other engineers through pairing, code reviews, and shared problem-solving
- Supporting teams in understanding data, telemetry, and operational issues
- Exploring new tools or approaches through proof-of-concept work, including performance, data modelling, and cost considerations
- Working with Lead Data Engineers, Engineering Managers, and Solution Architects to develop and improve engineering standards and practices
- Building solutions that are reliable, well-tested, maintainable, and automated through modern CI/CD tooling
- Contributing to an agile, cross-functional team and taking shared ownership of delivery quality
- Staying curious about emerging data technologies and identifying opportunities to apply them where they add business value
Qualifications
What you’ll need:
We’re keen to hear from Data Engineers who enjoy working with data, value good engineering practices, and are motivated by learning and collaboration. You don’t need to meet every requirement below to apply. If this role sounds interesting and aligns with your experience or aspirations, we’d love to hear from you.
- Experience delivering data solutions end to end
- Good problem-solving and analytical skills
- Clear and thoughtful communication skills
- A collaborative, supportive working style
- Experience working with cloud-based data platforms
- An understanding of how to build reliable, well-tested data systems
Technical expertise:
- Python or another object-oriented programming language
- Azure Databricks and/or Apache Spark
- Reporting or visualisation tools such as Power BI, MicroStrategy, or similar platforms
- CI/CD workflows, including automated build, test, and deployment pipelines
- Version control systems such as Git
- Exposure to Agile delivery frameworks (e.g. Scrum or Kanban)
- Aware of both cloud and on-premises infrastructure considerations
Additional Information
What's in it for you?
- Employee sample sales
- 25 days paid annual leave + an extra celebration day for a special moment
- Private medical care scheme
- Fixed Annual Payment in addition to your salary each year, it's just an extra thank you from us
- Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role
Data Engineer: Azure + Spark Data Solutions employer: ASOS
At ASOS, we pride ourselves on fostering a vibrant and inclusive work culture where creativity and individuality are celebrated. As a Data Engineer, you'll not only contribute to innovative data solutions but also benefit from extensive employee growth opportunities, including personalised learning experiences and collaborative problem-solving with talented teams. Located in a dynamic environment, we offer competitive benefits such as private medical care and generous annual leave, ensuring you feel valued and empowered in your role.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer: Azure + Spark Data Solutions
✨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
Show off your skills! Create a portfolio showcasing your data projects, especially those using Azure and Spark. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the technical interview! Brush up on your problem-solving skills and be ready to tackle coding challenges. Practising with platforms like LeetCode or HackerRank can help you feel more confident.
✨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 Data Engineer: Azure + Spark Data Solutions
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, especially those involving Azure or Spark, to show us how you can contribute to our team.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Data Engineer role. Highlight relevant skills and experiences that align with what we're looking for, like your problem-solving abilities and collaborative spirit. We want to see how you fit into our culture!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language and avoid jargon unless it's relevant. We appreciate thoughtful communication, so make it easy for us to understand your experience and skills.
Apply Through Our Website:Don't forget to submit your application through our website! It's the best way for us to receive your details and ensures you're considered for the role. Plus, it shows you're keen to join the ASOS family!
How to prepare for a job interview at ASOS
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Azure and Spark. Brush up on your Python skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled data challenges in previous roles. Think about the steps you took, the tools you used, and the outcomes. This will demonstrate your analytical skills and ability to think critically.
✨Emphasise Collaboration
ASOS values teamwork, so be ready to talk about your experience working in cross-functional teams. Highlight instances where you’ve collaborated with engineers, analysts, or other stakeholders to deliver successful data solutions.
✨Stay Curious and Open-Minded
Express your enthusiasm for learning new technologies and methodologies. Discuss any recent trends in data engineering that excite you and how you see them adding value to ASOS. This shows you're not just a techie but also someone who’s passionate about growth.
