Data Engineer

About WhiteCoat

WhiteCoat is a Singapore-headquartered omnichannel provider of integrated health and wellness services that serves as the first and single touchpoint for all care needs in Southeast Asia. Since launching in 2018, WhiteCoat’s digital platform powers a wide range of services including tele- and in-person consultations, as well as medication fulfilment and diagnostic testing, across primary, specialist and allied care. With a focus on the B2B space, WhiteCoat has forged strategic partnerships with the region’s leading insurers, corporates and care providers, to provide accessible and affordable high-quality care to its users. The Group currently has offices in Singapore, Indonesia, Malaysia and Vietnam. For more information on WhiteCoat, please visit

What you will be doing

We are seeking a talented and motivated Data Engineer to join our dynamic team. As a Data Engineer, you will play a key role in designing, developing, and maintaining data pipelines and architectures to support data analysis and machine learning initiatives. You will work closely with data scientists, analysts, and other stakeholders to ensure that data is collected, processed, and stored efficiently and accurately. We offer you the opportunity to be part of a multi-functional and dynamic team. Joining us should appeal to you not just because we respect and value our employees but because we are a place where passion and dedication are rewarded with opportunities for professional and personal growth.

Key Responsibilities

Architect and design data infrastructure on cloud

Design and build resilient and efficient data pipelines for both batch and real-time streaming data

Assemble and collect data sets that meet functional and non-functional business requirements

Identify, design & implement internal process improvements, automating manual processes optimizing data delivery, infrastructure for greater scalability

Build the infrastructure required for optimal extraction, transformation and loading of data from a variety of sources using SQL, APIs and cloud services technologies

Build tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics

Build tools for analytics and data team members that assist in building and optimizing the product into an innovative leader

Work with data and analytics experts to strive for greater functionality in our data lake, systems and ML / Feature Engineering for AI solutions

Work with cross-functional departments to understand their data needs and requirements and build tools to assist them with their analytics tools

Additional responsibilities and tasks assigned by management from time to time.

Our Benefits

Make a Real Impact : Opportunity to contribute to a leading digital health company's rapid growth.

Fast-paced Start-up Environment : Experience an environment where you get to own and make tangible impact without bureaucracy getting in the way of rapid decision-making.

Great Team : Collaborate with intelligent, friendly, and supportive professionals from diverse backgrounds.

Hands-on Learning & Growth : Gain hands-on experience in strategy, partnerships, operations, and product innovation within a growing industry.

Competitive Compensation & Benefits : Competitive compensation and performance-based bonus.

How to apply

If you believe you have what it takes for this role, click ‘Apply’ and join us on our journey to make a positive impact on the lives of people through innovative healthcare solutions!

What we are looking for

Minimum 3 years of relevant experience

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.

Proficiency in programming languages such as Python, Java, or SQL.

Experience with data processing frameworks and technologies

Strong understanding of database concepts and experience with relational databases

Knowledge of data modelling and familiarity with cloud platforms and services

Excellent problem-solving skills, attention to detail, and ability to work independently as well as part of a team.

Strong communication and interpersonal skills, with the ability to explain technical concepts to non-technical stakeholders.

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