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Data Engineering Manager | Regional Role | Perm | 55-65k

Teki'Spire Limited Hong Kong, China · HK$660K–HK$780K/yr

Staffing and Recruiting · 2-10 employees

Sep 24
engineering-manager Senior (5-10 yrs) Full-time China
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About the role

Lead the end-to-end data solution lifecycle, including requirement gathering, design, and implementation. Manage team resources and collaborate with cross-functional teams to ensure high-quality, secure, and efficient data platform delivery.

What they look for

Data Engineering SQL Python Java AWS GCP Snowflake Databricks Dbt Kafka Data Architecture ETL Pipeline Data Modeling Digital Marketing E-commerce CRM

Requirements

Requires a bachelor's degree in statistics, computer science, or a related field with 5-8 years of data engineering experience. Proficiency in SQL, object-oriented programming, and cloud-based data pipeline management is essential.

Full description

  • Lead the entire data solution lifecycle including requirement gathering, solution design, implementation, and releasing
  • Oversee the end-to-end data flow, including data collection, transformation, enrichment and integration, to make sure they are usable, accurate, consistent across the reports and downstream applications
  • Collaborate with cross-functional teams on the data needs, and conduct the roadmap to build the data engineering capabilities to proactively meet the business needs
  • Work closely with the Data Analytics and QA teams, to data quality to provide high availability
  • Manage the team resources and schedule to ensure the data platform is delivered with effectiveness, high quality, accurate, secure, on time, budget and cost control, as well as efficiently handle ad hoc analytics queries

Requirements

  • Bachelor Degree holder, preferably from statistics, computer science or related disciplines
  • 5-8 years related experience in data engineering and data platform
  • Proficiency with SQL, and at least one object-oriented language (Python, Java, etc.)
  • Track record of delivering large-scale, secure, and highly available data pipelines in a cloud environment, preferably AWS or GCP.
  • Expert in data architecture, data models and ETL pipeline, with modern data technology, such as Snowflake, Databricks, dbt, and Kafka
  • Domain experience in the digital marketing, e-commerce, CRM, MarTech or AdTech fields is highly desired
  • Flexible and able to work in a dynamic environment and manage your own time and in a high-paced work environment and tight timeline
  • Good command of both written and spoken English and Chinese

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