Data Engineer

Holborn Store Support Centre

Location

Holborn Store Support Centre

Hours

Full-time

Contract Type

Permanent

Salary

Competitive plus benefits

Areas of business

Information Management & Strategy

Job ID

190008PH

Google Map of 33 Holborn London EC1N 2HT

Sainsbury's Supermarkets Ltd, 33 Holborn, London, EC1N 2HT

Do you enjoy tackling some of the most exciting and challenging Big Data problems in the industry? Do you get excited building large-scale technology solutions, which make a difference to millions of customers everyday? If so then we would like to talk to you. 

We are looking for a hands on Data Engineer who will work within a team who use the latest technology solutions. Technologies in our stack include AWS, Kubernetes, Kafka, Hadoop, PySpark, R, Python, Scala, Snowflake and Java.

We are Sainsbury’s, Argos, Nectar and Bank. The Group is one of the largest Grocery retailers in the UK, a leading Digital retailer, the largest Loyalty programme in the UK and multiple Banking products. We serve customers millions of times a day offering them diverse range of products and services ranging from food, general merchandise, clothing and mortgages.

As one of the largest retailers in the UK, we generate a lot of data and are always looking for better ways to use our ever increasing amounts of data to understand our customers and optimise every aspect of their experience at a scale and richness that few companies can match.

We work in agile, empowered and co-located teams that contain all of the skills and support needed to put data driven outcomes in the hands of our customers and colleagues at pace. Our culture encourages teams to innovate, collaborate, learn and take ownership. We have Technology hubs in locations throughout London, Milton Keynes, Manchester, Edinburgh and Coventry with a range of onsite and offsite perks.

What you’ll do
  • Build and design large scale real-time and batch data pipelines using technologies such as Apache Spark, Kafka, SQS.
  • Programming in one or more languages within our data eco-system e.g. Java, Scala, Python.
  • Implement cloud technologies such as GCP, Azure. AWS including S3, and EMR. 
  • Use best practices in continuous integration and delivery.
  • Work collaboratively within a team of cross-functional engineers.
  • Work with structured, semi-structure and unstructured data.
Who you are
  • An engineer with a passion for delivering solutions to customers.
  • Someone who likes to roll up their sleeves and has hands on experience of the languages, tools and infrastructure.
  • Knowledgeable about data modelling, access and storage.
  • Self-driven and constantly striving to improve your team.
  • Advocate of agile/lean delivery methodologies. 

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