Associate Director, Data and Analytics

Some careers have more impact than others.

If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.

We are currently seeking an experienced professional to join our team in the role of Associate Director, Data and Analytics.

Business: CTO Data Technology

Principal responsibilities

• Architect, build, and optimize data pipelines for batch, streaming, and event-driven data workflows using GCP services such as BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Composer.
• Develop and maintain ETL/ELT frameworks that transform data from multiple sources into structured, query-ready formats.
• Work with structured, semi-structured, and unstructured data across diverse sources including APIs, files, logs, and databases.
• Implement data quality, lineage, and monitoring systems using Cloud Monitoring and alerting according to latest group strategies.
• Collaborate with Data Scientists, Analysts, and Product Managers to deliver scalable datasets supporting analytics and reporting.
• Ensure data security, governance, and compliance through IAM roles, VPC configurations, and best-in-class encryption practices.
• Contribute to architecture decisions that balance scalability, performance, and cost within GCP.
• Mentor junior engineers, enforce best practices in data engineering, and lead code review sessions.

Knowledge & Experience / Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• 5+ years of professional experience designing and operating data pipelines and platforms.
• Strong proficiency in SQL and Python for data processing and automation.
• Deep hands-on experience with GCP services (BigQuery, Dataflow, Cloud Storage, Pub/Sub, Dataproc)
• Experience in use of AI assist tooling for coding, test management.
• Experience managing data lake or warehouse infrastructure, integrating both structured and unstructured sources.
• Strong understanding of data modeling, partitioning, and schema design for analytical workloads.
• Excellent problem-solving and analytical thinking.
• Effective communication across technical and business teams.
• Leadership mindset with mentoring and cross-functional collaboration experience.
• Proven ability to manage and coordinate across multiple domains

What additional skills will be good to have?

• Familiarity with industry best practices for engineering maturity, standards, and infrastructure components.
• Experience as data engineering lead in large-scale projects, integrating ML pipelines or AI workflows on multiple cloud platforms.
• Certification: Google Cloud Professional Data Engineer or relevant Data Engineering or AI Certifications (preferred).

HSBCTL/GZ*

About HSBC Technology China

We develop, implement and support software and IT services and processes that allow HSBC to remain at the forefront of high-quality banking systems.

You’ll achieve more when you join HSBC.

HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.

Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

***Issued By HSBC Software Development (GuangDong) Limited***