Data Engineer

Singapore · Full-time · Intermediate

About The Position

Creadits has reinvented digital advertising.

The world's largest advertisers are already on our platform:

  • World's largest ride hailing apps
  • World's largest e-commerce marketplaces
  • World's largest gaming companies
  • World's leading apparel companies

A single global marketplace for advertising talent, using a unified currency - Creadits.

Creadits are used globally to acquire anything required to start advertising - graphic design, video shoots, writing, campaign management, training, even data.

The Creadits platform will provide a global view of talents and opportunities to get involved in projects.

A global talent pool can set values for creadits, trading transparently.

Global talent will no longer be trapped by borders or exchange rates. Creadits unlocks and unifies advertising, across any platform, and any geography.

More than facilitating transactions, the Creadits platform can make creative and strategic recommendations, improving and predicting campaign outcomes.

Are you someone who can solve challenging problems? You don’t just know coding, more importantly you know how to tackle problems innovatively. Programming language is merely a tool for you, making an impact is your real goal.

Creadits uses data-driven and AI-centric approaches to disrupt the way advertising used to be done. We are not an advertising agency. Instead, we help advertisers remove their reliance on agencies and achieve greater performance while spending less time on managing campaigns.

Creadits's DATA team is not made up of your typical software engineers. We are a team of people with diverse skill sets including deep learning, software engineering, computer vision, DevOps, statistics, and data engineering, and analytics. With core R&D of the company being the team's main responsibility, we do not limit your job scope, or, your potential. The only limit you may have is yourself.

You will start off by perfecting one of our core product offerings by renovating data pipelines on top of Google cloud platform alongside with experienced lead architects. Furthermore, you will also be tasked on meaningful and diverse projects requiring skills you don't necessarily possess, such as GUI-based Windows/Mac application development.

Initial Responsibilities

  • Self-management.
  • Perfect data processing pipelines.
  • Collaborate well with your fellow teammates.


  • Experience in Python, C++, data structures, algorithms, and data analytics
  • Knowledge of threading, memory management, coding principles, and BigData technologies
  • Flexible, problem solving, and analytical mindset
  • Master's degree or above in relevant disciplines
  • Knowledge in any of the followings would be a plus:

Graph DB, Google Cloud Platform, Scala, BigQuery, Dataflow, Airflow, image processing, computer vision

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