Data Engineer - SG

Bambu Lab; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Bambu Lab in Singapore is seeking a Data Engineer to lead the design and end-to-end development of offline data warehouses, with strong focus on scalable modeling and governance.

You will develop domain-aligned data warehouse solutions to support multiple internal units and collaborate closely with the China-based team to ensure PDPA/GDPR compliance in regional data operations.

Qualifications

• Proven hands-on data warehouse modeling and development across offline/real-time processing.
• Experience with large-scale, high-throughput data systems.
• Translate business requirements into scalable data architectures focused on stability and extensibility.
• Strong logical reasoning and ability to prioritize multiple tasks in a fast-paced tech environment.
• Familiarity with PDPA and cross-border data transfer requirements; awareness of GDPR where applicable.

Responsibilities

• Lead the design and end-to-end development of offline data warehouses, including layered data modeling and governance.
• Develop domain-aligned data warehouse solutions to meet varied internal data needs.
• Collaborate with the China-based data engineering team to ensure regional compliance and smooth data operations.

Skills

Data warehousing

Big data ecosystems

Business acumen

Analytical reasoning

Regulatory compliance awareness

Tools

Hadoop

Spark

Iceberg

Flink

Java

Python

Job description

Data Engineer - SG

Singapore

Responsibilities

• 1. Lead the design and end-to-end development of offline data warehouses, encompassing layered data modeling, pipeline development, and data governance practices to guarantee data accuracy, consistency, and long-term operational stability.
• 2. Develop in-depth domain expertise across business verticals and design domain-aligned data warehouse solutions to fulfill varied data requirements from all internal business units.
• 3. Partner closely with the China-based data engineering team to address regional data privacy compliance requirements, task deployment, and day-to-day operational maintenance. All cross-border data collaboration shall fully comply with applicable local and global data privacy regulations, including Singapore's Personal Data Protection Act (PDPA) and the GDPR where applicable.

Qualifications

• 1. Proven extensive hands-on experience in data warehouse modeling and development, with solid proficiency in both offline and real-time data processing. Prior experience building large-scale, high-throughput data processing systems is highly preferred.
• 2. Expertise in big data ecosystems including Hadoop, Spark, Iceberg, Flink and related frameworks; practical software development experience with Java, Scala and/or Python. Capable of integrating diverse technology stacks to build robust, business-centric data solutions.
• 3. Keen data intuition paired with strong business acumen: able to translate business requirements into scalable data architecture, and design well-structured data warehouse models focused on stability, extensibility and long-term maintainability.
• 4. Exceptional logical reasoning skills; adept at prioritizing multiple concurrent tasks within a fast-paced tech environment. Highly self-motivated with strong proactive ownership and accountability.
• 5. Working knowledge and practical experience adhering to Singapore data privacy regulatory frameworks, notably the Personal Data Protection Act (PDPA), as well as cross-border data transfer requirements; familiarity with global frameworks such as the GDPR where applicable.