- Strong engineering background with significant experience delivering data-intensive platforms/products.
- Deep SQL and data modelling expertise; strong understanding of data lifecycle and governance.
- Hands-on delivery experience on GCP, specifically BigQuery, Pub/Sub, and Airflow/Composer.
- Proven experience implementing data quality controls, reconciliation, and operational monitoring.
- Practical experience delivering LLM/GenAI solutions (RAG, evaluation, guardrails, prompt engineering, orchestration).
- Strong software engineering fundamentals (Python/Java preferred), APIs, microservices, testing, CI/CD.
- Experience leading teams and owning delivery in complex, regulated environments.
What additional skills will be good to have?
- Experience with Vertex AI, model deployment, feature stores, vector search, embeddings.
- Experience with streaming (Dataflow/Beam, Kafka) and container platforms (GKE/Cloud Run).
- Familiarity with governance patterns for GenAI (model risk, auditability, explainability, content safety).
- Experience with open-source vector DBs (e.g., pgvector, Milvus, Weaviate) and evaluation tooling.
- Cloud certifications (GCP Professional Data Engineer / Cloud Architect) are a plus.
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.
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***Issued By HSBC Software Development (GuangDong) Limited***