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Data Engineering Lead


Information Technology
Singapore - Singapore

About us

This role sits within Dyson's Global Data Services 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. As a part of IT, the team has the resources and the remit to keep up with Dyson's impressive global growth.   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.

About the role

  • Reporting to the Head of Data Engineering, you will be responsible for
  • Leading a team focused on shaping Dyson's data platform by ingesting, modelling, and enriching data across AWS and GCP data platforms.
  • Leverage the latest cloud technologies and tools (e.g. Kubernetes, BigQuery, Dataproc, CloudSQL, Pub/Sub, Dataflow).
  • Ensuring that data is ingested and analysed in a secure, efficient, and well-governed manner. 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.
  • Leading data engineers both technically and team-wise, either onshore or offshore, and ensuring the quality of their work
  • Translating business requirements into technical instructions for data engineers
  • Working closely with data architects on the team to build an integrated, performant solution
  • Demonstrating thought leadership in the data engineering arena; constantly improving
  • Taking a pragmatic stance with regards to resource constraints; thinking innovatively

About you

Person specification / Core Competencies:

●      Strong communication skills, with the ability to articulate technical matters to stakeholders


●      Ability to write and deploy production level code, preferably in an CI/CD fashion

●      Experience with data lakes and data warehouses, preferably on AWS or Google Cloud Platform.

●      Good knowledge of writing performant, optimized SQL, Python, Airflow, Dataflow and Spark

●      Proven ability to manage talent, consistently nurturing and motivating your team


Experience with:

●      One or more analytical solutions such as BigQuery, Athena, Redshift, or Snowflake


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.

Interview guidance

We are following the government guidelines regarding COVID19. At this time all interviews will be conducted via video or telephone. We’re taking these precautionary measures to protect both our employee and candidate wellbeing. Our Talent Acquisition team will work with you and provide further information as appropriate.