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Data Operations Engineer


Data Science and Engineering
Singapore - Technology Centre



At Dyson we are focused on solving the problems that others have ignored; solving them first using our technology and ingenuity. To achieve this, we need to pioneer technologies that are different and authentic. This is the core of what we do and who we are. We must strive to create the future, every single day by developing new things, different things, things that go against the grain with a diverse and global team of ingenious minds.   


Dyson employs over 14,000 people and is present in more than 80 countries. And while we are growing fast, we want Dyson to remain a start-up in spirit with the freedom of experimentation and learning, constantly reinventing our products as well as reinventing how we work, how we sell and how we support our owners. Our philosophy remains the same as it was almost 30 years ago when James Dyson invented the first cyclonic vacuum cleaner. We remain family owned. We do not bow to outside shareholders or report to the stock exchange. Instead, we plot our own path, unshackled from conventional thinking. 


A career at Dyson is an adventure. It’s challenging, stretching and not for the faint-hearted. Underlining everything we do in this diverse environment is the need to always show respect, supporting each other as one team to overcome whatever challenges we encounter. We drive empowerment, development, and equality in an inclusive environment for our people around the world. 




Dyson Global IT are seeking a Data Operations Engineer who will be responsible for the day-to-day operations of the project’s data infrastructure. They will work closely with the project team and external stakeholders to ensure that the data infrastructure meets the necessary requirements in terms of functionality, performance, scalability, and security. 


The Data Operations Engineer will be responsible for the day-to-day monitoring, management, and maintenance of the data infrastructure, as well as the development and implementation of operational processes and procedures. They will also help optimize and automates processes to increase productivity and overall product quality. 


Solid experience in data operations and automation is essential for this role. Strong analytical and problem-solving skills are also essential, as project requirements may evolve over time and the Data Operations Engineer will need to be able to adapt and improve the data infrastructure accordingly. 


  • Monitor, manage, and maintain the day-to-day operations of the data infrastructure. 

  • Develop and implement operational processes and procedures to ensure the smooth running of the data infrastructure. 

  • Optimize and automate processes to increase productivity and overall product quality. 

  • Troubleshoot and resolve data infrastructure issues in a timely manner. 

  • Collaborate with other teams to ensure that all components of the data infrastructure are working as expected. 

  • Analyse performance metrics to identify areas for improvement. 

  • Ensure that all data is backed up and securely stored. 

  • Identify and implement new technologies and tools to improve the data infrastructure. 



  • Bachelor's degree in computer science, Information Systems, or other relevant field. 

  • 5+ years of experience in data operations, automation, and systems administration. 

  • Hands-on experience with databases, data lakes, cloud-based solutions, and data integration. 

  • Strong understanding of data security and privacy regulations. 

  • Experience with scripting languages such as Python, PowerShell, etc. 

  • Ability to work independently and as part of a team. 

  • Excellent communication and interpersonal skills. 

  • Ability to adapt to changing requirements and timelines. 

Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.