Part of The Brandtech Group, fifty-five is a data consultancy helping brands collect, analyse and activate their data across paid, earned and owned channels to increase their marketing ROI and improve customer experience.
Headquartered in Paris with offices in London, New York City, Hong Kong, Taipei, Shenzhen, Shanghai and Singapore, the data company was named by Deloitte as one of the fastest-growing tech firms in Europe, thanks to its unique technology approach combining talent with software and service expertise. We’ve been working with brands to help them thrive in a multi-channel, digitized world since 2010, through the strategic use of data and marketing technologies, and the astute coordination of their partner ecosystems.
As part of the company’s further expansion into cloud services, fifty-five is currently hiring for a regional position in Taiwan.
A successful Cloud Data Engineer must understand our customer’s needs, be well-versed in questions about cloud environments and building digital analytics solutions on the cloud, and be familiar with data engineering on the cloud. The ideal candidate should also be aware of the importance of quality deliverables, respectful of deadlines, and able to articulate the business value of projects as well as technical considerations in clear terms.

• Design and implement data architectures and pipelines for cloud and digital analytics projects on cloud
• Deliver hands-on technical services, such as cloud migration, data migration, data transformation, data warehousing, data visualization, and advanced data analytics
• Set up CI/CD pipelines and deployment workflows to ensure proper integration of cloud infrastructure and data pipelines across environments
• Streamline and automate processes to ensure the efficiency and cost-effectiveness of digital analytics platform
• Work with our technology partners and the digital analytics team to assist in pre-sales work delivery such as contributing to RFP responses and demos for new project opportunities
• Work with the Global Engineering team to develop and execute POCs for cloud and data projects, showcasing our solutions and demonstrating how they meet customer needs

Requirements

• University degree in Computer Science, Information Systems or other related disciplines
• At least 1 year of hands-on experience in cloud data platforms on AWS, Azure, and GCP
• Fluent in spoken and written English and Mandarin
• Self-motivated, self-organized and strong problem-solving skill
• Experience in microservices and API development with Java and Python
• Knowledge and experience in Big Data, Data Science and Cloud technologies
• Experience in website and application development and tracking
• Professional cloud certification holder (GCP, AWS, and Azure)
• Client facing experience to be presentable and able to translate complex technical concepts into layman language
• Knowledge of version controlling, Dev Ops practice, containerization, and Agile

Benefits

• Exposure to cloud automation, marketing platforms, and media data analytics projects
• Opportunity to work with our global consulting and engineering teams to engage our clients from diverse industries around the world
• 20 days Annual Leave
• Work remotely (Maximum 2 days a week Work From Home policy)
• Regular team activities including TGIF, team lunch and Off-site!
• A multicultural environment with employees from over 20 countries
• Values centered on excellence, caring and sharing
• Continuous (and certified) training on the digital ecosystem and technologies (initial training for all new employees, followed by ongoing training sessions, etc.)
• Particular importance given to work-life balance and the right to disconnect

The opportunity of taking part in internal projects such as The Data Hive (a “tech for good” project initiated by fifty-fivers, whose aim is to put knowledge and expertise at the disposal of charitable organisations) or Women@55 (a committee with the aim of discussing gender equality and the role of women in consulting, Tech and at fifty-five)
fifty-five encourages diversity and is committed to guaranteeing equal treatment of all applications, regardless of gender, age, origin, sexual orientation, state of health or political or religious opinion.