ASOS is the UK’s number one fashion and beauty destination, expanding globally at a rapid pace. Our values are to be authentic, brave and creative, and we live and breathe these in everything we do. Our award-winning Tech teams sit at the heart of our business.

We deliver technical innovations and pioneer incredible solutions to keep our 20-something market engaged.  Our cloud-based architecture enables us to support our global reach and we use agile engineering methods to deliver value fast. We’re extremely ambitious and thrive on the individuality of our amazing employees. Our values encompass everything needed for our tech people to be the thought leaders of tomorrow, and our roles offer a flexible blend of remote and in-office working.

Senior Big Data engineers in the AI & Data Science platform are specialised in big data, and its associated preparation, processing and provision for use by Data and Machine Learning Scientists. 

What you'll be doing

• Design and build big data pipelines which are scalable, repeatable, and secure, and can reliably provide the quality and throughput of data required for complex machine learning workloads using extremely large datasets.
• Work on a number of big data projects throughout the software delivery lifecycle.
• Working as part of an enthusiastic and motivated development team comprised of software engineers, scientists, platform engineers, solution architects and analysts, to ensure the technical requirements of our numerous stakeholders are met in the most efficient way. 
• Delivering high-quality software which is future proof, scalable and in-line with ASOS standards.
• Using the latest tech, such as Azure Data Factory, Azure Databricks, Spark, Event Hub and Azure Stream Analytics.
• Research and experiment with emerging data technologies and industry trends with a view to bringing business value through early adoption
• Joining our regular Tech Develops days to learn new things, take part in internal and external hackathons, share your knowledge and help to drive improvements in engineering. 
• Continually develop and improve our code and technology, whilst playing an active role in the conception of brand-new features for our millions of global customers. 

Key Skills and Experience

• Strong understanding of Big Data core concepts and technologies
• Strong Cloud (Azure/AWS/Google) experience, preferably Azure.
• Comprehensive programming knowledge and experience in Scala and/or Python, ideally both
• Experience in building real time/batch data, high throughput processing infrastructure
• Knowledge of RDBMS, ETL and Data Warehouse Technologies
• Fully-automated provisioning and application deployment pipelines
• Experience with CI/CD tools like Azure DevOps, Ansible, TeamCity, Jenkins, Octopus
• Infrastructure automation using a scripting language like bash or powershell
• Configuration management
• Experience in delivering services that are highly-available, low-latency and scalable

Nice to Have:

• Deep exposure to Microsoft Azure
• Exposure to a microservices architecture
• Experience with NoSQL databases
• Knowledge of advanced analytics and insights techniques (e.g. predictive analytics, machine learning, segmentation)
• Knowledge of deep learning frameworks like TensorFlow, Keras
• Knowledge of machine learning libraries like MLLIB, sklearn
• Experience of Azure Machine Learning Platform or other ML platform.
• Experience in retail and/or e-commerce

What's in it for you?

• Truly unique and agile working environment surrounded by a diverse range of passionate experts, with three common interests: our customers, technology and innovation
• Generous salary, bonus and pension-matching, life insurance, free private medical care, cycle to work scheme + much more
• Bespoke flexible benefits scheme catered to your personal needs
• Best in class Learning & Development schemes and career development programmes
• 25 days holiday + never work your birthday again
• Free top-of-the-range onsite gym, plus great value personal training and wellness treatment rooms
• Subsidised canteen facilities with breakfast bar, salad cart, expert chefs and multiple coffee shops
• Tech Develops days – last Friday of the month dedicated to developing yourself and others around Tech including external speakers and exclusive Microsoft training material
• Regular company-wide social events including sports days, charity days, ‘Give A Week Away’ opportunities to visit our charity partners in India, annual celebrations to name just a few
• Huge staff discounts, sample sales and early access to exclusive partnerships”