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Assistant Data Engineering Lead (Ref: OS00142)
Job reference no. : OS00142
CRM  |  Permanent  |  Quarry Bay
11 Mar 2022
CRM  |  Permanent  |  Quarry Bay
11 Mar 2022

About our role

We are now looking for a talented Assistant Data Engineering Lead to be part of our team. The candidate will be leading a small data management and engineering team to manage and enhance a data platform on cloud.  The incumbent will work closely with internal IT, business stakeholders and vendors on planning, management, execution & delivery of data management and the enablement for data-driven business model for Swire Properties. The incumbent will also work with internal stakeholders in ensuring the data is managed in accordance to Data protection policies.   

Responsibilities will include

  • Maintain, design, and implement a Data Platform on the Cloud, to enable both CRM and non-CRM applications, such as data analytics, customer de-duplication and anonymization, data-driven marketing automation:

    • Lead a team of internal and external developers in maintaining and enhancing existing ETL pipelines on an Azure Data Platform 

    • Supporting the Data Management and Analytics Lead in managing and prioritizing enhancements on cloud platform

    • Collaborate with IT Digital Team and external data management vendors to establish end-to-end data pipeline (real-time and/or batch) from data ingestion, transformation, to data modelling through requirement gathering, data mapping, testing, and troubleshooting, and other relevant processes

    • Develop and enhance the data deduplication and anonymization pipelines upon data source updates, and changes 

  • Integrate and update a Data Model for BI Dashboard and general analytics development:

    • Collect and review requirements to update and maintain a robust data model for a wide range of analytics purposes

    • Ensure the data and information are delivered on-time with high quality, good performance, reconciled and integrity assured

    • Support the Data Management and Analytics Lead in providing data requirements on upstream systems and touchpoints upon the introduction of incremental features (change requests)

    • Design, initiate and execute testing on data from upstream data platform and the data model layer

  • Maintain the customer data single source of truth and automate the direct marketing subscription preference management between loyalty systems and marketing tools on BU and brand level

  • Manage internal stakeholder and external vendors for an effective delivery of data engineering solutions:

    • Manage internal stakeholders to ensure robust data engineering support for the rollout of various data-product

    • Deploy external resources for the maintenance and development of data engineering pipelines in an efficient manner

  • Document the data architecture and pipeline including but not limit to data dictionary, pipeline design and mapping, transformation logic, real-time/batch control and monitoring and data flow between systems

  • Manage and maintain the on-premises data warehouse to support the BAU activities:

    • Perform data patching and code deployment tasks to thedata warehouse

    • Plan, design and implement sunset strategy for the on-premises data warehouse

Together with creativity, integrity and passion, our ideal staff should be / have

  • University graduate in Information Technology, Computer Science, Information System, Information Management or related discipline

  • Minimum 5 years’ working experience in data infrastructure and architecture with demonstrated experience and capability in data warehousing, data modelling and design, data integration, data migration, ETL/ELT, BI and Big data solutions skill sets

  • Experience in leading a small team of data engineers and vendor management

  • Strong in SQL, Python, PySpark

  • Experience with big data and ETL/ELT technologies such as Informatica, Spark

  • Experience with or knowledge of cloud services such as Azure (Data Lake Storage Gen2, SQL DB, Data Factory, Databricks) or related

  • Experience with Test Driven Development (TDD) and Continuous Integration/ Development (CI/CD) in data platform development is highly desirable

  • Experience with data quality and testing frameworks such as dbt, Great Expectations, or Deequ is highly desirable

  • Experience with real-time streaming technologies such as Kafka is highly desirable

  • Experience with or knowledge of graph-based customer deduplication framework is a plus

  • Experience with or knowledge of data catalog, data lineage, BI and Data Preparation (Tableau, Qlik, Power BI, Tableau Prep, Alteryx, Looker) is a plus

  • Excellence presentation and communication skills; strong analytical, problem-solving and interpersonal skill

  • Good command of both written and spoken English, Cantonese and Mandarin

Join us

You are invited to submit your application via the Apply button.

As an equal opportunity employer, Swire Properties strives to foster a diverse workforce and inclusive workplace, where People can thrive. If you require special assistance, due to disability, during any part of the recruitment process – including the online application and/or the selection process – please reach out to us via email (as specified on the job application website) at any time.

If we haven’t contacted you six weeks after your submission, then please consider your application unsuccessful this time. All personal data collected during the application process will be kept for 12 months after its completion, and then destroyed. All information will be used for recruitment and appointment purposes only. The Company will handle all personal data confidentially in accordance with the Hong Kong Special Administrative Region’s Personal Data (Privacy) Ordinance.

To find out more about Swire Properties’ Sustainable Development (SD) 2030 Strategy, especially in the area of People, visit

© Swire Properties Limited 太古地產有限公司

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