Data Engineer – SQL Server & SSIS (Junior/Intermediate/Senior)

About the Opportunity

We are seeking proactive Data Engineers and SQL Server Specialists across multiple career levels.

While our primary track prioritizes engineers with 3+ years of proven SQL Server & SSIS experience, motivated data professionals across all levels who demonstrate a strong foundation in database architecture and data pipelines are welcome to apply. In this role, you will take ownership of end-to-end data modeling, ETL pipeline architecture, query optimization, and technical collaboration across regional and overseas teams.

What You Will Do

• Database Engineering & Architecture: Drive Microsoft SQL Server database design, development, unit testing, and continuous performance tuning.
• ETL Pipeline Development: Build, optimize, and maintain robust ETL workflows using SQL Server Integration Services (SSIS) for high-efficiency data extraction, transformation, and loading.
• Complex SQL Logic & Query Optimization: Author maintainable, high-performance SQL scripts, complex stored procedures, user-defined functions, and triggers.
• Performance Tuning & System Stability: Analyze and optimize existing SQL queries, indexing, and execution plans to enhance overall query throughput and database stability.
• End-to-End Implementation: Independently drive data requirement analysis, conceptual/logical data modeling, schema implementation, and go-live deployment support.
• Stakeholder & Cross-Border Delivery: Collaborate and communicate technically with business units and overseas teams to ensure accurate, timely delivery of data solutions.

Who We Are Looking For

• Education: Bachelor’s degree or above in Computer Science, Software Engineering, Information Technology, or a related field.

• Core Technical Mastery: Proficient in Microsoft SQL Server, skilled in SSIS, and expert in writing and tuning complex SQL logic.

• Experience Benchmarks:

  • Priority Track (Intermediate to Senior): 3+ years of professional SQL Server development experience, with participation in at least 2 complete data-related project lifecycles.
  • Junior / Foundational Track: Strong hands-on academic, internship, or early-career exposure to relational SQL database development, ETL concepts, and data warehouse structures.

• Language Proficiency: Good written and spoken communication skills in both Chinese and English (capable of basic technical communication in English) to facilitate seamless collaboration across our cross-border teams.

• Professional Attributes: Strong analytical and problem-solving mindset, high sense of responsibility, proactive ownership, and excellent teamwork skills.

Bonus / Advantageous Assets

• Full lifecycle project experience in Data Warehousing (DWH) or Business Intelligence (BI) platforms.
• Hands-on exposure to cross-system data reconciliation or data modeling in large enterprise environments.