Data Engineer - Shenzhen

<p><strong>Job Description</strong></p> <ul> <li>Design, develop, maintain, and optimize scalable data pipelines and integration workflows across CASETiFY’s core business systems and data platforms.</li> <li>Build and support data ingestion, transformation, validation, and delivery processes for structured and semi-structured data from multiple source systems.</li> <li>Work closely with BI, analytics, and business stakeholders to understand reporting and analytical needs and translate them into reliable data engineering solutions.</li> <li>Develop and maintain curated datasets, data models, data marts, and reusable data assets to support business intelligence, operational reporting, self-service analytics, and management dashboards.</li> <li>Support data integration across key systems such as eCommerce platforms, ERP, OMS, WMS, CRM, marketing systems, finance systems, customer operations platforms, and other enterprise applications.</li> <li>Ensure data pipelines and datasets are accurate, complete, timely, and well governed through strong engineering practices, validation controls, monitoring, and reconciliation mechanisms.</li> <li>Collaborate with product, engineering, and platform teams to ensure data solutions are scalable, secure, maintainable, and aligned with enterprise architecture and business priorities.</li> <li>Support the implementation of data quality standards, metadata management, lineage, documentation, and data governance practices.</li> <li>Monitor and troubleshoot pipeline failures, data issues, and performance bottlenecks, and drive timely resolution and continuous improvement.</li> <li>Improve engineering efficiency through automation, standardization, reusable frameworks, and best practices in data development and deployment.</li> <li>Support the enablement of AI, machine learning, and advanced analytics use cases by preparing high-quality and sustainable data foundations</li> <li>Participate in data platform enhancement, architecture discussions, release activities, and cross-functional delivery planning while maintaining clear technical documentation and operational procedures.</li> </ul> <p><br><strong>Requirements</strong></p> <ul> <li>Solid hands-on experience in data engineering, ETL / ELT development, and enterprise data integration.</li> <li>Good understanding of data warehousing, data modeling, pipeline orchestration, data transformation, and data lifecycle management.</li> <li>Practical experience in building and maintaining data pipelines for analytics, reporting, and operational use cases.</li> <li>Strong SQL skills and hands-on experience with modern data platforms, cloud data environments, and related engineering tools.</li> <li>Experience working with structured and semi-structured data from multiple business systems and platforms.</li> <li>Good understanding of data quality controls, reconciliation, validation, monitoring, and troubleshooting practices.</li> <li>Experience in supporting BI and analytics use cases through curated datasets, semantic consistency, and well-structured data models.</li> <li>Familiarity with version control, automation, deployment processes, and engineering best practices in data environments.</li> <li>Good problem-solving and analytical skills with the ability to identify data issues and translate business needs into structured technical solutions.</li> <li>Able to work collaboratively with BI, analytics, engineering, product, and business stakeholders in cross-functional environments.</li> <li>Known for promoting reliability, data accuracy, structured thinking, and continuous improvement.</li> <li>At least 4-6 years of relevant working experience in data engineering, data platform development, or related roles.</li> <li>Experience in eCommerce, retail, omnichannel, supply chain, finance, or other data-intensive environments is preferred.</li> <li>Familiarity with enabling data foundations for AI, machine learning, or advanced analytics is a plus.</li> <li>Experience in multicultural and fast-paced environments is preferred.</li> <li>Happy to work in a buzzing multicultural environment, with proficient spoken and written English; Chinese is a plus.</li> </ul>