Description
We are currently seeking an experienced professional to join our Risk and Compliance team in the role of Real-Time Data Engineering Lead. You will play a key role in shaping and delivering HSBC's next generation of financial crime prevention.
This role will lead the engineering of high-volume, low-latency data flows that transform global transaction events into trusted, actionable intelligence in real time. Working across engineering, architecture, cloud, security, product, AI and financial crime teams, the role will help HSBC detect threats earlier, intervene faster and increasingly prevent financial crime before it occurs.
As an HSBC employee in the UK, you will have access to tailored professional development opportunities and a competitive pay and benefits package. This includes private healthcare for all UK-based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution.
In this role you will:
- Own the technical direction and delivery of scalable, low-latency data flows across HSBC's global markets
- Architect event-driven solutions for transaction ingestion, transformation, enrichment and delivery into monitoring, decisioning and intervention services
- Lead engineering teams to build highly available, observable and recoverable streaming platforms that perform predictably at peak volume
- Set standards for data quality, lineage, privacy, security, performance, capacity management and operational resilience
- Make clear architectural trade-offs across latency, accuracy, portability, cost and control; act as the senior technical escalation point for complex platform issues; and partner with product and AI teams to turn advanced analytics, agentic AI and responsible automated intervention into controlled production capability
- Influence the wider financial crime technology roadmap while coaching senior engineers and building a culture of ownership and technical excellence
To be successful in this role you should meet the following requirements:
- Deep expertise in real-time data processing, streaming architectures and event-driven systems using technologies such as Kafka, Flink, Spark or equivalent
- Strong experience of enterprise integration, distributed systems and transformation patterns for high-volume, low-latency and highly available services
- Proven delivery of complex data platforms from architecture through to reliable 24x7 production operation
- Production experience with Google Cloud including performance and cost optimisation
- Strong engineering judgement across observability, resilience, data quality, security, DevSecOps and CI/CD
- Experience leading senior technical teams and influencing business, risk, compliance and technology stakeholders
- Knowledge of transaction monitoring, sanctions, AML, responsible AI, explainability or another highly regulated domain is highly valuable