At a Glance
- Tasks: Deliver high-quality data solutions and support innovative projects at ASOS.
- Company: Join ASOS, a forward-thinking fashion and tech powerhouse.
- Benefits: Enjoy competitive salary, private medical care, and 25 days annual leave.
- Other info: Be part of a collaborative team with excellent growth opportunities.
- Why this job: Unleash your creativity and make a real impact in a dynamic environment.
- Qualifications: Experience in data engineering and cloud-based solutions is essential.
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, 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.
- 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, favouring a simple and maintainable approach over a complex one, tested at every step on the path to production, deployable using automated tooling only, and 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 looking to meet experienced Data Engineers who live and breathe Data, who seek to take this best practice and use it in a dynamic environment while making waves in the industry.
- Good analytical and problem-solving skills.
- Broad expertise in the delivery of data solutions.
- Excellent communication skills and a diplomatic nature.
- Highly collaborative and open working style.
- Commitment to provide a high level of customer service to internal and external users.
- Proven experience in the successful delivery and ongoing maintenance of complex, high volume, high performing, and high-quality software systems.
- Experience of implementing/supporting cloud-based solutions.
- In-depth knowledge in most of the following technologies: Azure data related technologies such as Azure Cosmos DB, Azure SQL Database, and Azure Data Factory; Python or any other Object-Oriented programming language; expertise with MicroStrategy, Power BI, or another major end-user reporting and/or visualisation platform; broad knowledge of using CI/CD to create workflows to automatically build, test, publish, release, and deploy code using tools such as Azure DevOps, GitHub Actions, and distributed version control tools such as GIT; understanding of cloud and on-premises infrastructure concerns; Agile Development background (SCRUM and/or KANBAN).
Nice to have skills:
- Understanding of Big Data technologies (Spark, Synapse, etc).
- Experience in retail and/or e-commerce.
- Other programming languages: PowerShell, Python, Scala.
- Experience of all the phases of the software development lifecycle (SDLC) and knowledge about DataOps best practices.
- Team development and mentoring skills.
Additional Information
What's in it for you?
- 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.
- 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
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 dedicated skills development 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 have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects. Whether it's a GitHub repo or a personal website, make sure it highlights your best work. This is your chance to shine and demonstrate what you can bring to the ASOS team.
✨Tip Number 3
Prepare for the interview like it’s the final exam! Research ASOS, understand their tech stack, and be ready to discuss how your experience aligns with their goals. Practice common data engineering interview questions and think of examples that showcase your problem-solving skills.
✨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 family. So, hit that apply button and let’s get you started on this exciting journey!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Show Your Passion for Data:When 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 love seeing candidates who are genuinely excited about 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 match the job description. We want to see how your background aligns with our needs, so don’t be shy about showcasing your expertise in Azure and data technologies!
Be Clear and Concise:Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications. Remember, we’re looking for high-quality solutions, so demonstrate your ability to communicate effectively right from the start!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re proactive and keen to join the ASOS team. Don’t miss out on this opportunity!
How to prepare for a job interview at ASOS
✨Know Your Data Tools
Familiarise yourself with the specific Azure data technologies mentioned in the job description, like 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 examples of complex problems you've solved in your previous roles. Highlight your analytical skills and how you approached challenges, especially in a collaborative environment. This will demonstrate your fit for the agile, cross-functional team at ASOS.
✨Emphasise Collaboration
ASOS values a highly collaborative working style. Be prepared to discuss how you've worked with others, mentored team members, or contributed to a positive team dynamic. Share specific instances where your collaboration led to successful project outcomes.
✨Stay Current with Industry Trends
Research the latest trends in data engineering and cloud technologies. Be ready to discuss how you can bring value through early adoption of new tools or practices. Showing that you're proactive about learning will resonate well with ASOS's forward-thinking culture.
