Data Engineering Lead

A career at Swire Properties is more than just work, it’s a calling.

We’re searching for exceptional individuals who want to live and breathe “Creative Transformation” – our distinct mindset and long-term approach that inspires everything we do and how we do it. It inspires us to constantly explore new perspectives and seek out original thinking that goes beyond the conventional. Our mission, ultimately, is to constantly add value to communities and create truly amazing and sustainable places where people can thrive. Additionally, we are deeply committed to prioritising health and safety in all our operations, ensuring a healthy, safe and supporting environment for our People, partners and the communities we serve.

Work on career-defining projects that are changing the industry across Hong Kong, the Chinese Mainland, Miami, and Southeast Asia.

We are looking for a Data Engineering Lead to join our Data Analytics & Insights team. Reporting to the Head of Data Analytics & Insights, this role is the technical owner of Swire Properties’ Centralised Analytic Platform, responsible for building and operating the enterprise data foundation that powers analytics, customer intelligence, and AI use cases across the Group.

Working closely with the Head of Data Analytics & Insights, this role translates the enterprise data & AI strategy into scalable engineering solutions. It ensures our platform is secure, compliant, scalable, cost‑efficient and AI‑ready, while delivering trusted data products that drive business value.

This role leads a hybrid team of internal data engineers and external partners who works collaboratively with Data Science and Analytics, Data Application & Operations, Data Architecture, Data Governance within the same department as well as the corresponding counterparts in Digital & IT.

Join us as a Maker - turning bold ideas into action and building sustainable communities together. What kind of Maker are you?

Build Trusted, Compliant & Privacy-Centric Data Foundation

• Implement engineering controls aligned with corporate information security and privacy protection policies and guidelines, as well as data-quality standards.
• Operationalise privacy and security controls as well as Partner with Digital & IT, Architecture and Cybersecurity to meet regulatory and internal assurance requirements, strengthen security posture and access governance.

Deliver High‑Value BI Enablement & Data Products

• Build and maintain unified, trusted data foundations by integrating core business, CRM, leasing and third‑party data sources.
• Engineer reusable customer data products and optimise privacy‑compliant solutions to enable marketing personalisation, de‑duplication and consent management.

Power Advanced Analytics, ML & GenAI Use Cases (Enablement)

• Build robust analytics datasets and pipelines to support descriptive, diagnostic, predictive and prescriptive use cases.
• Establish scalable DataOps/MLOps capabilities and ensure platform readiness for emerging technologies, including GenAI‑driven productivity and AI‑enabled products.

Drive Engineering Excellence & Modern Delivery Practices

• Define and champion engineering best practices: coding standards, CI/CD pipelines, orchestration, observability, automated testing and documentation.
• Promote Agile and DataOps delivery practices to support high‑velocity analytics development as well as review and sign off technical deliverables.

Ensure Data Platform Reliability, Quality & Operational Performance

• Own platform reliability for the Centralised Analytics Platform, including SLAs, observability, monitoring, pipeline stability and incident response.
• Implement robust data quality & governance practices, with automated validation and comprehensive technical documentation across pipelines, transformations and data flows.

Stakeholder, Vendor & People Leadership

• Lead a hybrid internal–external engineering team, providing technical guidance to senior leadership and ensuring cost‑effective, high‑quality delivery.
• Partner with data, digital, IT and business stakeholders to translate needs into scalable solutions while coaching and performance‑managing the team.

• Degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 10+ years of data engineering experience, with 3–5 years in a leadership role.
• Hands-on expertise with cloud data platforms (Azure preferred) and lake / lakehouse / warehouse architecture.
• Strong SQL + Python/PySpark; experience with distributed processing (Spark/Databricks).
• Orchestration and pipeline engineering (e.g., ADF/Databricks workflows), CI/CD and DevOps practices.
• Data governance toolchain exposure desirable (e.g., Unity Catalog / Purview, lineage/catalog concepts, access control).
• Strong data quality and observability practices (automated checks, reconciliation, monitoring).
• Experience in property/real estate, retail, hospitality, property management, or customer-centric sectors preferred.
• Proven ability to translate business needs into scalable data products and platforms
• Strong stakeholder management, communication and vendor governance.
• Structured problem-solving, high ownership, and ability to balance speed with controls and compliance.

BEHAVIOURAL COMPETENCIES

• Decision Quality
• Cultivates Innovation
• Business Acumen
• Drives for Results
• Ensures Accountability
• Optimises Work Process
• Builds Effective Teams
• Drives Engagement
• Situational Adaptability

• 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 2023 and 2024, along with the Best Social Enterprises Award in 2024

Don’t Miss This Opportunity

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.