Overview

Position Title: Big Data Engineer

Company: Asos

Location: Luton, United Kingdom

Job Description:

We deliver technical innovations and pioneer incredible solutions to keep our 20-something market engaged, the cloud-based architecture to support our global reach and the 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.

Responsibilities:

  • Working as part of an enthusiastic and motivated development team comprised of software engineers,
  • scientists, platform engineers and analysts, to ensure the technical requirements of our numerous stakeholders are met in the most efficient way.
  • 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.
  • Research and experiment with emerging data technologies and industry trends with a view to bringing business value through early adoption
  • Ensuring that data pipelines 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
  • Using the latest tech, such as Azure Data Factory, Azure Databricks, Spark, Event Hub + Azure Stream
  • Analytics.
  • Delivering high-quality software which is future proof, scalable and in-keeping with ASOS standards.
  • 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.

Requirements:

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

About Asos

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.

Whatever your role, asos will encourage you to be you, fulfilling your creative potential with our global reach. Push boundaries, and challenge expectations. We’re determined to succeed, so we’ll trust you to deliver. Help drive our journey to becoming the global fashion destination for 20-somethings