【E-Commerce】Senior Data Engineer

Join as a Senior Data Engineer in Taipei to drive data-driven marketing and e-commerce. You’ll design and optimise CDP solutions, integrating multi-channel datasets to power growth and engagement. Collaborate with cross-functional teams to build scalable, privacy-focused models. Enjoy a supportive culture with flexible work and strong professional development while making real impact through large-scale projects.

Senior Data Engineer

Salary: Competitive and based on experience

Location: Taipei City

Keywords: Data architecture, real-time pipelines, multi-source integration, marketing automation, data governance, cloud platforms, mentorship, privacy compliance

What you'll do:

• Design comprehensive Customer Data Platform (CDP) architectures and data models that seamlessly integrate information from diverse sources to support marketing automation and ensure robust data governance.
• Define key performance indicators for data systems such as latency and throughput, implementing observability practices to maintain high standards of quality and consistency across all pipelines.
• Build and optimise real-time data pipelines using technologies like Kafka and Flink, as well as batch processing workflows with Airflow to handle large-scale data efficiently.
• Implement scalable data lakes or warehouses using Delta Lake or Snowflake, ensuring the infrastructure can accommodate growing business needs and complex analytical requirements.
• Collaborate closely with data science, marketing, and product teams to drive impactful data-driven projects that enhance user engagement and operational efficiency.
• Support the deployment of machine learning models through MLOps best practices, ensuring smooth integration into production environments for actionable insights.
• Provide mentorship and guidance to junior engineers within the team, fostering a culture of knowledge sharing and technical excellence.
• Ensure all data models and processes comply with GDPR/CCPA regulations by embedding security and privacy considerations into every aspect of design and implementation.
• Continuously monitor system performance, proactively identifying areas for optimisation to improve pipeline reliability and scalability.
• Document architectural decisions, workflows, and best practices to facilitate ongoing maintenance and onboarding of new team members.

What you bring:

• Bachelor’s degree in Computer Science, Information Systems, Mathematics, Statistics or a related field is required; an advanced degree such as a Master’s or PhD in Data Engineering or Big Data is highly desirable.
• A minimum of 5–7 years’ experience in data engineering or big data processing roles within e-commerce or similar high-volume transactional environments.
• Proficiency in programming languages such as Python, Java or Scala with hands-on expertise in distributed computing frameworks like Spark.
• Demonstrated experience building efficient ETL/ELT pipelines supporting real-time recommendations and automated marketing workflows.
• Deep familiarity with cloud platforms including AWS, GCP or Azure alongside practical skills in constructing scalable data lakes or warehouses (e.g., Delta Lake or BigQuery).
• Hands-on experience with modern orchestration tools such as Airflow for batch processing as well as event streaming technologies like Kafka or Flink for real-time applications.
• Practical exposure to Snowflake for enterprise-grade warehousing solutions along with knowledge of Databricks for collaborative analytics is advantageous.
• Experience leading CDP implementations involving real-time multi-source integration for marketing automation channels such as EDM or push notifications is preferred.
• Strong background in designing privacy-focused architectures compliant with GDPR/CCPA regulations while maintaining rigorous standards of security and governance.
• Expertise in multi-channel attribution modelling to inform business decision-making coupled with a track record of optimising pipelines for improved system efficiency.

What sets this company apart:

This organisation, part of a major group, is launching an innovative e-commerce platform leveraging vast multi-channel membership and shopping data. You’ll work with rare high-traffic datasets to deliver large-scale impact for millions of users. The company offers an inclusive, team-focused culture with flexible work, ongoing training, and strong support for professional growth and digital transformation.

What's next:

If you are ready to make your mark on one of Taiwan’s most exciting digital transformation journeys while advancing your career among knowledgeable peers—this is your moment!

Apply today by clicking on the link below to take the next step towards joining this exceptional team.