Data Engineer
Posted Updated
Summary
Data Engineer in Singapore building and maintaining batch and streaming data pipelines, data models, and tested datasets for analytics and applications, using strong SQL and Python within a modern cloud data stack, while partnering with analytics, product, and business teams.
Role Overview
We are looking for a Data Engineer to build and maintain reliable data pipelines, models, and data products. This role exists to turn raw data into clear, tested, and sustainable datasets that serve analytics and applications. You will work with platform, analytics, and business teams to deliver trustworthy data assets and grow your expertise in a fast-paced global environment.
Who You'll Work With • Reports to: Regional Tech Lead or Senior Data Engineer • Collaborates with: Data platform team, analytics teams, business stakeholders, and engineering teams • Team context: Growing data team; learning and growth opportunities; cross-time-zone collaboration with China HQ
Responsibilities • Develop and maintain batch and streaming data pipelines and models for analytics and applications • Own data cleansing, standardization, incremental processing, reconciliation, and dataset publishing • Write automated tests and data quality rules, and monitor timeliness, completeness, and accuracy • Partner with business, analytics, product, and engineering teams to understand data needs and establish clear definitions • Participate in code reviews, releases, production troubleshooting, backfills, and continuous improvement • Maintain technical documentation, data contracts, and operational runbooks
Requirements Must-Have • Bachelor's degree or above in Computer Science, Data Science, or a related field, or equivalent industry experience • 3+ years of experience in data engineering, analytics engineering, or data warehousing, or equivalent practical expertise • Strong SQL skills and the ability to build and maintain data pipelines using Python • Understanding of data warehouse modeling, incremental processing, orchestration, and data quality • Strong problem-solving, code quality, and documentation practices • Legally authorized to work in Singapore; this role does not provide visa sponsorship
Nice-to-Have • Experience with Databricks, Spark, dbt, Airflow, or comparable technologies • Experience with commerce, advertising, order, user, or consumer data • Experience with cloud data platforms or distributed teams • Mandarin communication skills
Language • Professional working proficiency in English (CEFR B2 or above) • Mandarin Chinese is advantageous for collaboration with China HQ, but not required
What We Offer • Opportunity to grow your data engineering career in a global team • Hands-on experience with modern data stack and cloud technologies • Mentorship from senior data engineers • Competitive compensation and benefits package • Flexible working policy
Who You'll Work With • Reports to: Regional Tech Lead or Senior Data Engineer • Collaborates with: Data platform team, analytics teams, business stakeholders, and engineering teams • Team context: Growing data team; learning and growth opportunities; cross-time-zone collaboration with China HQ
Responsibilities • Develop and maintain batch and streaming data pipelines and models for analytics and applications • Own data cleansing, standardization, incremental processing, reconciliation, and dataset publishing • Write automated tests and data quality rules, and monitor timeliness, completeness, and accuracy • Partner with business, analytics, product, and engineering teams to understand data needs and establish clear definitions • Participate in code reviews, releases, production troubleshooting, backfills, and continuous improvement • Maintain technical documentation, data contracts, and operational runbooks
Requirements Must-Have • Bachelor's degree or above in Computer Science, Data Science, or a related field, or equivalent industry experience • 3+ years of experience in data engineering, analytics engineering, or data warehousing, or equivalent practical expertise • Strong SQL skills and the ability to build and maintain data pipelines using Python • Understanding of data warehouse modeling, incremental processing, orchestration, and data quality • Strong problem-solving, code quality, and documentation practices • Legally authorized to work in Singapore; this role does not provide visa sponsorship
Nice-to-Have • Experience with Databricks, Spark, dbt, Airflow, or comparable technologies • Experience with commerce, advertising, order, user, or consumer data • Experience with cloud data platforms or distributed teams • Mandarin communication skills
Language • Professional working proficiency in English (CEFR B2 or above) • Mandarin Chinese is advantageous for collaboration with China HQ, but not required
What We Offer • Opportunity to grow your data engineering career in a global team • Hands-on experience with modern data stack and cloud technologies • Mentorship from senior data engineers • Competitive compensation and benefits package • Flexible working policy