Cloud Data Engineer - Taiwan

Taipei City
Permanent
Full-time

1 month ago

Job Description: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. We also leverage AI to enhance data-driven strategies, optimize customer engagement, and deliver more predictive and automated marketing solutions.Headquartered in Paris with 10 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 continued expansion into cloud services in APAC, we are hiring a Cloud Data Engineer to join our Taipei team.This person will work closely with our clients in Taiwan and the region, collaborating with both our local and global engineering teams.

Design and implement data architectures and pipelines for cloud and digital analytics projects on cloud platforms
Deliver hands-on technical services including cloud migration, data transformation, data warehousing, visualization, and advanced analytics
Set up CI/CD pipelines and deployment workflows to ensure proper integration of cloud infrastructure and data pipelines
Streamline and automate processes to optimize performance and cost-efficiency for digital analytics platforms
Support pre-sales activities with local consultants (e.g. demo development, RFP contribution, technical solutioning)
Collaborate with Global Engineering team to develop and deliver POCs for cloud and data-related use cases

Requirements

University degree in Computer Science, Information Systems, or related disciplines
Minimum 1 year of experience with cloud data platforms (GCP preferred; AWS or Azure also welcome)
Familiar with data engineering concepts and tools (e.g. BigQuery, Dataflow, Pub/Sub, Airflow, etc.)
Proficient in one or more programming languages (e.g. Python, Java)
Knowledge of API design, microservices, and DevOps practices (CI/CD, version control, containerization)
Good understanding of data analytics, data warehousing, and visualization (e.g. Looker, Data Studio, Tableau)
Experience with website or mobile app tracking implementation is a plus
Professional cloud certification (GCP, AWS, or Azure) is a plus
Able to communicate technical concepts clearly to non-technical stakeholders
Strong problem-solving skills, self-driven, and collaborative
Fluent in English and Mandarin Chinese

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
Work-life balance and strong support for well-being

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.

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