Data Engineer

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.

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.

What you’ll need

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

In-depth knowledge across most of the following areas:

• 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.