Data Engineer, 12 months renewable contract

Responsibilities Design and deliver end-to-end data pipelines - from ingestion and transformation to quality assurance and integration - powering enterprise analytics and data products. Partner with business stakeholders and solution architects to translate complex requirements into scalable, high-quality data sets and analytics solutions. Build and optimize robust data ingestion, processing, and loading infrastructure across diverse sources (databases, APIs, streaming, third-party systems). Col

- Mongkok, Hong Kong - Full time

Salary: Negotiable

Responsibilities

  • Design and deliver end-to-end data pipelines - from ingestion and transformation to quality assurance and integration - powering enterprise analytics and data products.
  • Partner with business stakeholders and solution architects to translate complex requirements into scalable, high-quality data sets and analytics solutions.
  • Build and optimize robust data ingestion, processing, and loading infrastructure across diverse sources (databases, APIs, streaming, third-party systems).
  • Collaborate closely with data architects to ensure model integrity, performance, and alignment with the overall data strategy and governance standards.

SKills Reqd

  • Min 3 years hands-on expertise in Data Engineering, end-to-end data pipelines, data warehousing, and BI solutions.
  • Proven proficiency across modern data stack - PySpark, Python, Databricks, Azure Data Factory, Data Lakes, relational/NoSQL databases (MongoDB, Cassandra, HBase), and large-scale unstructured data environments along with Azure
  • Strong track record delivering enterprise-grade BI implementations, interactive dashboards, and high-performance processing of complex, big datasets on cloud and on-premise platforms.
  • Proficient in English.

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