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Data Engineer

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🇸🇬 Singapore

Secretlab is an international gaming chair brand seating over a million users worldwide, with our key markets in the United States, Europe and Singapore, where we are headquartered.

You will be a pioneer in our newly formed Business Intelligence team, responsible for enabling the business to make accelerated and accurate data-informed decisions. You will be principally responsible for starting up, optimising, and maintaining Secretlab’s entire data processing infrastructure.

Our Business Intelligence team will play a part in all of Secretlab’s initiatives and decision making, including our collaborative efforts with world-renowned brands such as Game of Thrones, Batman, Cloud9, Team Secret, as well as international esports organisers such as Riot Games for their League of Legends global tournaments.


  • Be principally responsible for starting up, optimising, and maintaining Secretlab’s entire data processing infrastructure
  • Collaborate across various teams to identify relevant data sources and validate data accuracy .
  • Partner various teams in scoping out areas of improvement and delivering the technical implementations. This includes, but is not limited to, automation, data quality & reliability, efficient data delivery, etc.
  • Build scalable and robust data pipelines from a variety of data sources, performing the data transformation necessary to architect an optimised data warehouse.
  • Develop the necessary tools to effectively maintain and monitor the data infrastructure
  • Thoroughly understand the business needs, conducting research to introduce the right suite of data products for the organisation


  • Bachelor’s Degree in Computer Science or a relevant quantitative course of studies
  • At least 3 to 5 years’ experience in a similar role, preferably in a start-up environment
  • You should relish the idea of building something up, bringing both a macro perspective and a natural inclination to get scrappy
  • Business-minded with strong communication skills: You should be able to engage technical & non-technical stakeholders without jargon, scoping out their requirements and delivering the best-suited technical implementations.
  • Up to date knowledge of current solutions for data integration and management automation/ integration

Technical Requirements

  • Expert hands-on knowledge with setting up data lakes, warehouses and pipelines
  • Ability to data wrangle unstructured/ semi-structured data to structured data via schemas and query languages like SQL.
  • Expert experience integrating various external data sources via use of API and/or integrations to data warehouses
  • Well-versed in common coding languages such as Python and Javascript


  • Experience in the e-commerce space is advantageous
  • Working knowledge of web development is a plus