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. At the heart of these plans is the rebuilding of our digital platforms and channels to provide the best shopping experience for our customers. Our plan is designed to enable us to really put our mobile experience first, enable personalisation and support a data driven organisation. We are also making significant investments in all our Buying, Merchandising, Finance and People systems with the latest toolsets and applications to accelerate the next phase of our global growth. We are also improving our ways of working within Technology to enable autonomous platform development and improve our engineering and agile practices.

ASOS is one of the UK’s top fashion and beauty destinations, 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.

We believe fashion can make you look, feel and be your best and, with technology in our DNA, we deliver the latest trends to our digital-obsessed 20-something market. 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 innovation and pioneer incredible solutions, which are crucial to our continued success. 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.

We are building ASOS next generation personalisation and recommendation platform – a unique Big Data infrastructure which will ingest and serve massive amount of data for complex real-time processing, leveraging the latest and most cutting-edge technologies at web-scale.

We are looking for outstanding Cloud and Big Data folks to join us early on and help build the new platform and grow the team. If you are passionate about technology and architecture, love hands-on development and want to build very scalable, highly available systems – you should work with us!

What you'll be doing

• Evaluate, select and deploy massive real time/batch data processing infrastructure, using the latest technologies
• Design and build cloud-scale Services and API’s, using modern standards and frameworks
• Handle all aspects of development – design, development, build, deployment, monitoring and operations.
• Research and experiment with emerging data technologies and industry trends with a view to bringing business value through early adoption
• Work in an agile, cross functional team taking responsibility for delivering big data products

Key Skills and Experience

Essential

Profound understanding of Hadoop core concepts and technologies:

• Experience in delivering big data solutions using a leading Hadoop distributions like Hortonworks, Cloudera, MapR
• Understanding of big data technologies (MapReduce, YARN, Hive, Pig, HDFS, Flume, Sqoop,...)
• Apache Spark
• Working with cloud platforms

Core programming knowledge:

• OOP principles
• Proficient in one or more of the following: Java, Scala, Python
• Shell scripting

Previous significant experience in a Data Engineering role:

• Knowledge of RDBMS, ETL and Data warehouse technologies

Broad knowledge of software delivery lifecycle and CI/CD toolset:

• Git & Continuous integration tools such as Jenkins, TeamCity
• Testing frameworks like Junit, Scalatest, Mock testing

Nice to Have

• Exposure to Microsoft Azure stack    
• Cassandra, MongoDB or equivalent NoSQL databases
• Container technologies like Docker
• 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 in retail and/or e-commerce