Description and Requirements

As a data engineer you will shape Dyson's data platform by ingesting, modelling, and enriching data by leveraging the latest cloud technologies and programming languages. You will ensure that data can be ingested and analysed in a secure, efficient, and well-governed manner.

Market Overview:

Building our analytical capabilities is a core pillar of Dyson's new global data strategy. As more consumers engage with Dyson, via more types of products, and across more markets, the volumes of data will greatly increase. Understanding how to use this data to improve everything from customer experiences to product development will be key to Dyson's success.

Function Overview:

This roll will report to the Lead Data Engineer and sits within the Global Data and Analytics team. This team is tasked with ensuring that the various parts of Dyson's business are able to leverage rich, accurate, and timely data to generate insights and make better decisions. Based in IT, the team has the resources and the remit to keep up with Dyson's impressive global growth.

Accountabilities:

Reporting to the Lead Data Engineer you will be responsible for:

  • Shaping Dyson's data platform by ingesting, modelling, and enriching data by leveraging the latest cloud technologies and programming languages.
  • Ensuring data can be ingested and analysed in a secure, efficient, and well-governed manner.
  • Developing, industrialising, and optimising Dyson's big data platforms across AWS and GCP.
  • Ingesting new data sources, writing data pipelines, and transforming and enriching it using the most efficient methods.
  • Working with data from any source, understanding the best way to serve it up at scale to a global audience of analysts.
  • Working closely with data architects on the team to ensure that we are building an integrated, performant solution.

Skills:

What is required for the role:

  • Degree or relevant qualifications in Engineering / Computer Science / IT Analytics.
  • At least two years of experience with data lakes or cloud data warehouses.
  • Good knowledge and comfortable writing SQL, Python, and preferably Spark.
  • Prior experience working with cloud technologies such as the Hadoop platform.
  • Familiar with analytical tools such as Impala, BigQuery, Athena, Snowflake, or Redshift.

Benefits Overview:

Dyson Singapore monitors the market to ensure competitive salaries and bonuses. Beyond that, you’ll enjoy a transport allowance and comprehensive medical care and insurance. But financial benefits are just the start of a Dyson career. Professional growth, leadership development and new opportunities abound, driven by regular reviews and dynamic workshops. And with a vibrant culture, the latest devices and a relaxed dress code reflecting our engineering spirit, it’s an exciting team environment geared to fuelling and realising ambition.