Data Engineer

About Toku

At Toku, we create enterprise cloud communications and customer engagement solutions to reimagine customer experiences for enterprises. We provide an end-to-end approach to help businesses overcome the complexity of digital transformation in APAC markets and enhance their CX with mission-critical cloud communication solutions. Toku combines local strategic consulting expertise, bespoke technology, regional in-country infrastructure, connectivity and global reach to serve the diverse needs of enterprises.

About the Role

As we continue creating momentum for our products in the APAC region and helping customers with their communications needs, we are looking for a Data Engineer to ensure the high quality and reliability of our cutting-edge contact center and unified communication platforms, and contribute to the seamless delivery of exceptional customer experiences.

This is an impactful position during a growth phase for the business. You will be instrumental in shaping new processes, bringing new ideas, and selecting tools in a collaborative and highly visible team environment. You will thrive in this role if you have a passion for quality, an eye for detail, and the experience to help excel a growing Engineering function to the next level

What you will be doing

As a Data Engineer, reporting to an Engineering Manager or potentially the VP of Engineering, you will collaborate with stakeholders across the organization. You will be responsible for Data Pipeline Design and Development, Data Infrastructure Management, Data Quality Management, and Data Security and Privacy management.

Delivery

This axis refers to the reliability in delivering impactful results across various scopes, including tasks, features, projects, initiatives, teams, the organization. For a Data Engineer, this involves:

• Building robust and efficient data pipelines to extract, transform, and load data from various sources.

• Ensuring optimal performance and scalability of the data warehouse.

• Designing and implementing a scalable data architecture to support future growth and innovation.

• Providing clean and reliable datasets to stakeholders to assist them in building and optimizing products into innovative industry leaders.

• Identifying opportunities to automate manual tasks and optimize data delivery.

• Assisting stakeholders in leveraging data to drive product innovation

Strategic Alignment

This involves the ability to prioritize work and influence goals and direction for oneself, the team, the organization. In the Data Engineer role, this means:

• Ensuring the data infrastructure can handle future growth and maintain high availability.

• Maintaining data accuracy, integrity, and consistency to support reliable decision-making.

• Adhering to data standards, security protocols, and compliance regulations.

• Staying informed about emerging technologies and their potential benefits.

• Following industry best practices to optimize data pipelines and processes.

Talent

This axis focuses on contributions to raising the bar by strengthening oneself and others, and by attracting talent. Data Engineers are expected to:

• Actively participate in knowledge sharing and contribute to the growth and development of the Data Engineering team.

• Provide guidance and mentorship to fellow data engineers, offering support and training to enhance their skills and performance

Culture

This describes the level of participation in Toku's culture and collaboration across different functions, teams, and organizations. For a Data Engineer, this means:

• Maintaining excellent interpersonal skills, with strong written and oral communication abilities in English.

• Ability to work independently and in a fast-paced, dynamic startup environment.

• Fostering a continuous learning mindset, staying up-to-date with the latest trends and technologies.

Technical Excellence

This refers to the knowledge and fluency within one's technical functional area of expertise that enables engineering and operational excellence. Key technic