At a Glance
- Tasks: Deliver high-quality data solutions and support innovative projects at ASOS.
- Company: Join ASOS, a forward-thinking fashion and tech company.
- Benefits: Enjoy competitive salary, private medical care, and 25 days annual leave.
- Other info: Opportunities for personal growth and to shape DE&I initiatives.
- Why this job: Make a real impact with cutting-edge technology in a creative environment.
- Qualifications: Experience in data engineering and strong problem-solving skills required.
The predicted salary is between 50000 - 60000 € 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 transition and major investment. This includes a number of strategic programmes to deliver amazing technology and business solutions to support our ambitious global growth plans. ASOS is a unique and forward-thinking company which understands the opportunities data and technology have on driving the business forward.
The Digital Data Engineering team is responsible for providing high quality, scalable data solutions across the ASOS Digital Domain, advocating best practices, modern technologies and educating development teams. As a Data Engineer, you'll be hands-on delivering business critical projects and processes, helping the digital platforms to fully take advantage of their data while ensuring continuous product improvement, best practices usage and ongoing development of engineers through coaching, mentoring, and pairing.
From problem solving to new concept ideas, you have the genuine opportunity to unleash your full potential and creativity on a variety of ASOS data engineering projects.
What you'll be doing:
- Implementing high-quality solutions based on the Microsoft Azure Data Platform.
- Supporting development work, ranging from pairing with team members and assisting them in completing data related stories to guiding them on how to make sense of their telemetry and investigate issues or perform code reviews for critical code before deploying it.
- Creating proof of concepts, including discovering and developing new ways of using our data and presenting the results to the Tech domain, as well as feasibility testing (performance, data modelling, costs, etc) of different solutions and architectural designs to decide on the best approach for implementation.
- Working with engineering team leads, Lead Data Engineers and Solution Architects to set and maintain standards and development practices that promote high delivery cadence without impeding robust, scalable, and quality solutions.
- Ensuring that solutions are built to the highest standard in a way that favours a simple and maintainable approach over a complex one, is tested at every step on the path to production, using the appropriate tools and practices, is deployable using automated tooling only, and is suitably instrumented to meet core operational and business monitoring needs.
- Working with an agile, cross-functional team, taking responsibility for the engineering team deliverables and quality.
- Keeping up to date with emerging data technologies and industry trends with a view to bringing business value through early adoption.
Qualifications:
- We're keen to connect with experienced Data Engineers who are passionate about data and best-practice delivery, and who are motivated to apply their expertise in a fast-paced, innovative environment where they can make a real impact.
- Strong analytical and problem-solving capabilities.
- Broad experience delivering end-to-end data solutions.
- Excellent communication skills, with a tactful and professional approach.
- A highly collaborative and open working style.
- A strong commitment to delivering exceptional customer service to both internal and external stakeholders.
- Proven experience delivering and maintaining complex, high-volume, high-performance, and high-quality software systems.
- Hands-on experience implementing and supporting cloud-based solutions.
Technical expertise:
- Azure data technologies, including Azure Cosmos DB, Azure SQL Database, and Azure Data Factory.
- Python or another object-oriented programming language.
- Azure Databricks and/or Apache Spark.
- Experience with MicroStrategy, Power BI, or other enterprise-level reporting and visualisation platforms.
- Strong understanding of CI/CD workflows, including automated build, test, release, and deployment pipelines using tools such as Azure DevOps, GitHub Actions, and distributed version control systems like Git.
- A solid understanding of both cloud-based and on-premises infrastructure considerations.
- Experience working within Agile delivery frameworks, such as SCRUM and/or KANBAN.
Additional Information:
- Competitive salary, pension, and private medical care scheme.
- Performance related bonus.
- Flex benefits allowance - which you can choose to take as extra cash, or use towards other benefits.
- 25 days paid annual leave + an extra day for your birthday.
- Employee discount (hello ASOS discount!).
- Tech Develops - our internal tech focused skills development programme to focus on your personal growth as a technologist.
- Opportunity to represent ASOS at industry leading events.
- Opportunity to help shape and drive our DE&I initiatives in Tech (like our WIT movement and Diversity mentoring in Tech).
- Opportunity to make an impact from day one and work with the latest in cutting edge technology.
Data Engineer employer: ASOS.com
At ASOS, we pride ourselves on being a forward-thinking employer that champions creativity and individuality. Our vibrant work culture fosters collaboration and innovation, providing Data Engineers with the opportunity to work on cutting-edge technology while enjoying competitive benefits such as a performance-related bonus, generous annual leave, and a focus on personal growth through our Tech Develops programme. Join us in a dynamic environment where your contributions can make a real impact from day one.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works at ASOS. You never know who might help you land that Data Engineer role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those using Azure technologies. This is your chance to demonstrate your problem-solving abilities and creativity, so make it shine!
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. Practice common data engineering questions and think about how you can communicate your experience effectively. Remember, they want to see how you fit into their collaborative culture!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the ASOS team. Don’t miss out on this opportunity!
We think you need these skills to ace 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 and how they relate to the role at ASOS. We want to see your genuine interest in using data to drive business solutions.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Data Engineer position. Highlight relevant skills and experiences that align with the job description. We love seeing candidates who take the time to connect their background with what we're looking for!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language and avoid jargon unless it's necessary. We appreciate a well-structured application that makes it easy for us to see your qualifications and fit for the role.
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 gives you a chance to explore more about ASOS and our culture while you're at it!
How to prepare for a job interview at ASOS.com
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Azure data technologies, especially Azure Cosmos DB and Azure Data Factory. Be ready to discuss how you've used these tools in past projects and how they can be applied to ASOS's needs.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data challenges. Highlight your analytical capabilities and how you've delivered end-to-end data solutions that have made a real impact.
✨Emphasise Collaboration
ASOS values teamwork, so be ready to talk about your experience working in agile environments. Share stories that demonstrate your collaborative approach and how you've supported team members in achieving their goals.
✨Stay Current with Trends
Familiarise yourself with the latest trends in data engineering and cloud technologies. Being able to discuss emerging technologies and how they could benefit ASOS will show your passion for the field and your commitment to continuous improvement.
