At a Glance
- Tasks: Design and deliver data solutions using Microsoft Azure, collaborating with engineers and analysts.
- Company: Join ASOS, a fashion-forward company blending style with cutting-edge technology.
- Benefits: Enjoy employee discounts, 25 days leave, private medical care, and personalised learning opportunities.
- Other info: Be part of an agile team with excellent career growth potential.
- Why this job: Make an impact in a dynamic team while growing your skills in data engineering.
- Qualifications: Experience in data solutions, problem-solving skills, and familiarity with cloud platforms.
The predicted salary is between 40000 - 50000 £ 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
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:
- Azure data technologies (e.g. Azure Cosmos DB, Azure SQL Database, Azure Data Factory)
- 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 discount (hello ASOS discount!)
- 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
Associate Data Engineer in London employer: ASOS
ASOS is an excellent employer that fosters a dynamic and inclusive work culture, offering hybrid working arrangements that promote work-life balance. Employees benefit from generous perks such as 25 days of paid annual leave and exclusive discounts, while also having ample opportunities for professional growth in a fast-paced, technology-driven environment focused on innovation in payment processing.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Data Engineer in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like ASOS!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Associate Data Engineer at ASOS.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like ASOS.
✨Apply Directly through Our Website
When you find a suitable opening like Associate Data Engineer at ASOS, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Associate Data Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at ASOS, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at ASOS. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at ASOS
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at ASOS!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
