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Senior Data Engineer

Responsibilities

  • Partner with business and technology stakeholders to understand data requirements and translate them into scalable data solutions.
  • Design, develop, and maintain robust data models that support analytics, reporting, and business intelligence initiatives.
  • Build and optimize ETL/ELT pipelines to integrate data from multiple platforms, including legacy and cloud-based systems.
  • Ensure data is accessible, reliable, and fit for purpose across the organization.
  • Drive data quality, governance, and compliance initiatives, establishing standards and monitoring frameworks to maintain data integrity.
  • Support the migration and modernization of data platforms and architecture.
  • Collaborate with cross-functional teams to improve data processes, workflows, and operational efficiency.
  • Implement best practices for data engineering, automation, version control, and deployment processes.
  • Troubleshoot and resolve data-related issues while continuously enhancing system performance and scalability.

Required Skills

  • 5+ years of hands-on experience in data engineering, data platform development, or related fields.
  • Strong proficiency in SQL and Python with experience building production-grade data pipelines.
  • Solid experience in data modelling, data warehousing, and analytics-focused data architecture.
  • Hands-on experience with ETL/ELT frameworks and orchestration tools such as Airflow, Fivetran, dbt, or similar technologies.
  • Experience working with cloud data platforms such as Snowflake, AWS, Databricks, or equivalent environments.
  • Knowledge of NoSQL databases and hybrid cloud/on-premises data integration architectures.
  • Familiarity with CI/CD pipelines, Git, DevOps practices, and modern software development methodologies.
  • Understanding of data governance, data quality management, and regulatory compliance requirements.
  • Strong analytical and problem-solving skills with the ability to communicate complex technical concepts to non-technical stakeholders.
  • Excellent communication skills in English; Chinese language capability is highly preferred.