Description
We are seeking a Lead Engineer, Data Ingestion to join our Global Data Ingestion team within Risk & Finance Technology. As a Vice President, you will provide technical leadership across scalable data-ingestion products and services, defining technical direction, solving complex engineering problems, and developing the capability of other engineers.
Key Responsibilities:
- Provide hands-on technical leadership for the architecture, design, development, and evolution of secure, scalable, and resilient data-ingestion platforms.
- Define and communicate technical direction aligned with business priorities, target architecture, and divisional engineering standards.
- Lead delivery using Java, Spring Boot, Apache Spark, PySpark, Kubernetes, OpenShift, and Google Cloud Platform services such as Cloud Run, Dataproc, GKE, and BigQuery.
- Develop reusable frameworks, common components, and engineering patterns for batch, API-based, event-driven, and distributed data processing.
- Remain actively involved in coding, prototyping, code reviews, troubleshooting, and critical technical changes.
- Drive clean-code practices, automated testing, CI/CD, secure deployment, performance engineering, and continuous improvement.
- Own production readiness, observability, service-level objectives, capacity, resilience, incident resolution, and sustainable remediation.
- Embed information security, data management, risk, audit, and regulatory controls throughout the engineering lifecycle.
- Influence architecture and engineering decisions across teams, simplifying the technology estate and reducing duplication, technical debt, and operational risk.
- Mentor and coach engineers, resolve technical disagreements, and foster an inclusive culture of accountability, collaboration, and continuous learning.
Benefits:
- Best-in-class leave policy
- Gender-neutral parental leaves
- 100% reimbursement under childcare assistance benefit (gender-neutral)
- Sponsorship for industry-relevant certifications and education
- Employee Assistance Program for you and your family members
- Comprehensive Hospitalization Insurance for you and your dependents
- Accident and Term Life Insurance
- Complimentary health screening for 35 years and above
Requirements:
- Significant experience in software or data engineering, including technical leadership of complex platforms or products in a large organisation.
- Strong hands-on development experience in Java, Spring Boot, and Apache Spark using Java and/or PySpark.
- Strong understanding of distributed processing, SQL, data modelling, APIs, microservices, and event-driven integration patterns.
- Practical experience with Kubernetes, OpenShift, and Google Cloud Platform, preferably Cloud Run, Dataproc, GKE, and BigQuery.
- Experience with CI/CD, automated testing, Git-based workflows, secure engineering, and production support for business-critical services.
- Demonstrated ability to define technical direction, develop reusable standards, and influence decisions across organisational boundaries.
- Strong analytical, communication, and stakeholder-management skills, with the ability to connect engineering decisions to business value, risk, and total cost of ownership.
- Experience mentoring engineers and improving the technical capability, delivery discipline, and production ownership of wider teams.
- Experience in a regulated environment, preferably banking, financial services, Risk, Finance, Treasury, or regulatory reporting.