Assistant Data Engineering Lead

Swire Properties Limited 太古地產有限公司; Hong Kong; On-site; HKD 900,000 - 1,200,000; Full time

Job summary

Swire Properties Limited 太古地產有限公司 is seeking an Assistant Data Engineering Lead to support the Data Engineering Lead in managing and enhancing a cloud-based data platform with a team of engineers onshore and offshore.

You will work closely with IT, data scientists, analysts, and vendors to plan, manage, and deliver data products and ensure data protection compliance across data assets.

Qualifications

• University graduate in Information Technology, Computer Science, Information Systems or related discipline.
• 5+ years’ experience in data infrastructure and architecture with data warehousing, modelling and ETL/ELT
• Experience leading a small data engineering team and vendor management.
• Strong in SQL and PySpark/Python.
• Experience with cloud services such as Azure (Data Lake, SQL DB, Data Factory, Databricks) is desirable.
• Knowledge of data governance, security and data quality practices.
• Familiarity with Agile/Scrum and Jira is a plus.
• Excellent communication in English, Cantonese and Mandarin.

Responsibilities

• Lead and manage a team of internal and external data engineers to enhance ETL pipelines and the Azure Data Platform.
• Manage stakeholders and vendors to deliver data engineering solutions.
• Collaborate with stakeholders to ensure robust data engineering and support product rollout.
• Mobilize resources for implementation and maintenance efficiently.
• Document data flows, data mapping, data dictionaries and inventories.
• Review and sign off technical deliverables, including design docs and deployment artifacts.
• Support Data Engineering Lead and coordinate with Data Science, Analytics, and Operations teams.
• Collaborate with Digital & IT and external vendors for changes after updates.

Skills

SQL

PySpark/Python

Data Warehousing

Data Modeling

ETL/ELT

BI

Team Leadership

Vendor Management

Cloud Platforms

Databricks

Data Governance

Education

Bachelor's degree in Information Technology / Computer Science / Information Systems

Tools

Azure

Azure Data Lake Storage Gen2

SQL DB

Data Factory

Databricks

Job description

We are Makers — people who care deeply about shaping places where life, work and nature can flourish together. Grounded in our heritage and united by a culture of trust and respect, we dare to take on ambitious ideas and turn them into something real — thoughtfully, collaboratively, and with care for the communities we serve. Our people are at the heart of it all: free to be themselves, driven to make a difference, and inspired to create alongside others. Brick by brick, we build vibrant, inclusive spaces that stand the test of time — because real progress comes from people who choose to make it happen.

We are now looking for a talented Assistant Data Engineering Lead to be part of our team. The candidate will be supporting Data Engineering Lead to manage and enhance a data platform on cloud with a team of engineers, onshore and offshore. The incumbent will work closely with internal IT, data scientists, data analysts, business analysts, and vendors on planning, management, execution & delivery of data management and the enablement for various data products and services for Swire Properties. The incumbent will also work with internal stakeholders in ensuring the data is managed in accordance to Data protection policies.

RESPONSIBILITIES

• Lead and manage a team of internal and external data engineers in enhancing and maintaining existing ETL pipelines, storage and the Azure Data Platform, including but not limited to the following duties
• Manage internal stakeholders and external vendors to effectives deliver data engineering solutions
• Collaborate with internal stakeholders to ensure robust data engineering works up to quality and support the production rollout of various data products
• Mobilize resources on implementation and maintenance works in an efficient manner
• Ensure the technical deliverables are concisely documented including but not limit to data dictionary, data flow, pipeline design, data mapping logic, and data asset inventories
• Review and sign off the technical deliverables including effort estimation, impact analysis, design doc, technical specifications as well as SIT, Deployment and System Operation deliverables, delivered by subordinates or external vendors
• Support the Data Engineering Lead and collaborate with other data function pillars, including but not limited to Data Science & Analytics, Data Application & Operations, etc., in managing and prioritizing tasks
• Collaborate with Digital & IT Team and external vendors to initiate required changes upon upstream application updates and downstream application needs

REQUIREMENTS

• 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 and PySpark/Python is a must
• Experience in data processing with small data & big data storage format like CSV, Parquet, Hive Metastore is a must
• Experience with implementing and maintaining cloud services such as Azure (Data Lake Storage Gen2, SQL DB, Data Factory, Databricks, DevOps) or related is highly desirable
• Experience with Test-Driven Development (TDD), CI/CD practices, and semantic model implementation for BI visualisation tools is highly desirable.
• Experience in data platform security, ML/Agentic AI, and data quality frameworks preferred.
• Familiarity with Databricks UC migration, BI, data lineage, and data catalog tools is advantageous.
• Knowledge of Agile/Scrum and project management tools (e.g., Jira) is a plus.
• Strong communication, presentation, analytical, problem-solving, and interpersonal skills, with proficiency in spoken and written English, Cantonese, and Mandarin.

BEHAVIOURAL COMPETENCIES

• Decision Quality
• Business Acumen
• Drives for Results
• Ensures Accountability
• Communicates Effectively
• Situational Adaptability

WHY CHOOSE US

• Randstad Hong Kong: Awarded Most Attractive Employer in the Property and Real Estate sector for 2024 and 2025
• HRoot Awards (Chinese Mainland): Received the Best Employer Award for three consecutive years in 2023, 2024, and 2025, together with the Best Social Enterprises Award in 2024

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 and accommodations during any part of the recruitment process, including the online application and/or the selection process, please reach out to us via email 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.

Established in Hong Kong in 1972, Swire Properties is a leading developer, owner and operator of mixed‑use, principally commercial properties in Hong Kong and the Chinese Mainland, with a well‑established record of creating long‑term value by transforming urban areas. Our business comprises three main areas: property investment, property trading and hotel investment.

The Company was listed on the Main Board of the Stock Exchange of Hong Kong in 2012 and, with its subsidiaries, employs more than 4,500 people.