Data Engineer

Job description

  Salary
Competitive
·  Role area
Technology
·  Contract type
Permanent
·  Job reference
HRGOU341192
·  Location
London or Milton Keynes
SW1V 1JZ
· 
As one of the UK's leading digital retailers, Sainsbury's Argos generates a lot of data and we are always looking for better ways to dig into this data to find new insights and new information that will allow us to improve our understanding of our customers' needs and to optimise every aspect of our business.

The next stage of our journey is to make use of the very latest Big Data tools from the Hadoop ecosystem to accelerate our ability to understand our ever-increasing amounts of data.

To help with this journey, we are looking for a Data Engineer to join on Data Analytics team and build the data structures that will support the company for the future.

Technologies in our stack for this role:

Cloudera Hadoop (Hive, Impala, Spark, HBase, Sqoop, Flume), Talend, Python, Scala and Java. Snowflake, Kafka, Postgres, Jenkins, AWS and Linux.

Team task:

To develop the company's Big Data Platform so that it becomes the trusted source of data for the entire organisation.

Challenges we're excited about tackling:

Building a holistic view of our customers that helps the Business understand their needs.
Supporting the Data Science communities and Machine Learning teams by supplying cleansed, productionised data feeds.

We are looking for people with:

An in-depth understanding of the Apache Hadoop ecosystem (Cloudera preferred), including Hive, Impala and HBase
Development experience with Apache Spark
Programming in one or more of the following languages: Python, Java or Scala
Data Warehouse Design and Development skills (OLAP, Star Schema, Kimball)
Database Design & Development in one or more of the following: Oracle, Microsoft SQL Server, IBM DB2, MySQL, PostgreSQL
ETL Experience constructing data flows from multiple source systems (Talend or Pentaho preferred)
Data Analytics experience (e.g. Regression, Clustering, Decision Trees, Forecasting, Statistics)
SQL development (e.g. PL/SQL or T-SQL) including HiveQL
Experience working with Structured, Semi-Structured and Unstructured data
Linux Shell scripting

Working environment:
Flexible approach to working hours, including ability to work from home when required. Casual dress-code. Good social environment – “Super Social Friday”. Close to all the amenities and transport link in Victoria – London.

Benefits:

Bonus – 10%

Holidays – 22 with the option to buy up to 5 days per year
Company pension
Discount at Argos, Sainsbury's and Habitat
Sharesave scheme – Risk-free way to buy shares at a discounted rate
Share Purchase Plan
Childcare vouchers
Cycle to work scheme
Season Ticket Loan