Data Engineer at ASOS

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

12 Jul, 26

Salary

0.0

Posted On

13 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Data Platform, Python, Azure Databricks, Apache Spark, Power BI, MicroStrategy, CI/CD, Azure DevOps, GitHub Actions, Git, Data modelling, Agile, Scrum, Kanban, DataOps, Software development lifecycle

Industry

Retail Apparel and Fashion

Description

Company Description We're ASOS. We blend our flair for fashion with our love of cutting- edge technology, but more importantly were 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. Job Description ASOS Technology is going through an exciting period of transition and major investment. - this includes a number of strategic programmes to deliver the 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 has 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. This ranges 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. This includes discovering and developing new ways of using our data and presenting the results to the Tech domain, but also feasibility testing (performance, data modelling, costs, etc) of different solutions and architectural designs to decide on the best approach for its 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. Keep up to date with emerging data technologies and industry trends with a view to bringing business value through early adoption. Qualifications What you will need: 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. Azure Databricks (and/or Apache Spark). Expertise with MicroStrategy, Power BI, or another major end-user reporting and/or visualisation platform. Broad knowledge of using CI/CD 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 chose 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 focussed 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 of technology

Responsibilities

You will be responsible for delivering high-quality, scalable data solutions on the Microsoft Azure platform while mentoring and pairing with team members. Additionally, you will collaborate with architects to establish development standards and ensure robust, maintainable, and automated data engineering processes.