【EC SaaS】Senior Data Engineer

A leading EC technology provider is seeking a Senior Data Engineer to join their collaborative team. This is an exciting opportunity for you to play a pivotal role in shaping the future of retail solutions, supporting clients as they embrace digital transformation. You will be empowered to work with cutting-edge technologies, from real-time streaming to cloud-based architectures, while enjoying flexible and supportive environment that values your growth and well-being.

Senior Data Engineer

Salary: Competitive and based on experience

Location: Taipei City

Keywords: Data Engineer, Python, SQL, ETL pipelines, real-time data processing, cloud platforms

What you'll do:

• Develop, operate, and monitor ETL processes as well as real-time data pipelines to ensure efficient collection, cleansing, processing, and analytics of large-scale datasets.
• Design and maintain high-performance database schemas tailored for scalability and reliability across multiple business domains.
• Build robust backend APIs that power data visualisation platforms used by merchants to gain actionable insights into their operations.
• Collaborate closely with product managers, analysts, and other engineers to deliver integrated solutions that meet evolving business needs.
• Implement performance tuning strategies for databases to optimise query execution and resource utilisation.
• Support the deployment and maintenance of stream-processing systems such as Apache Flink or Kafka to enable real-time analytics capabilities.
• Ensure the security, integrity, and availability of data assets by following best practices in cloud environments like AWS or GCP.
• Utilise containerisation tools such as Docker or Kubernetes to streamline development workflows and deployment processes.
• Contribute to documentation efforts, ensuring clear communication of system architecture, data flows, and operational procedures.

What you bring:

• Demonstrated proficiency in Python programming language for building scalable data engineering solutions across various business requirements.
• Advanced SQL skills for querying complex datasets and optimising relational database performance in production environments.
• Hands-on experience designing, implementing, and maintaining ETL pipelines using orchestration frameworks such as Apache Airflow.
• Familiarity with stream-processing technologies including Apache Flink, RisingWave, or Kafka for handling real-time data ingestion and analysis.
• Comprehensive understanding of both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB) databases for diverse storage needs.
• Experience working with cloud platforms such as AWS or GCP to deploy secure and resilient data infrastructure components.
• Comfortable navigating Linux/Unix environments for system administration tasks related to data engineering workflows.
• Proficiency with containerisation tools like Docker or Kubernetes for managing application deployments efficiently across different environments.
• Bonus: Prior exposure to the e-commerce industry or strong analytical skills applied within retail contexts is highly valued.

What sets this company apart:

This organisation is a trusted partner for brands seeking retail integration, with over a decade of expertise in driving digital transformation. Employees thrive in a collaborative, inclusive culture that values knowledge sharing, professional growth, and flexible working. With strong investment in training, mentorship, and technology, the company offers an ideal environment for talent to make meaningful impact in retail tech.

What's next:

If you are ready to take the next step in your career as a Senior Data Engineer—where your expertise will shape the future of omnichannel retail—this is your chance to join an inspiring team making waves in digital transformation.

Apply today by clicking on the link below—your journey towards empowering merchants through advanced data engineering starts here!