Lab Engineering Lead - Prudential & Analytics Platform
Lab Engineering Lead - Prudential & Analytics Platform
Apply locations Leeds Wellington Place Edinburgh New Uberior House Head Office time type Full time posted on Posted Yesterday time left to apply End Date: January 22, 2025 (11 days left to apply) job requisition id 119142
Salary Range: £121,023 - £142,380
Flexible Working Options: Hybrid Working, Job Share
About us
We’re on an exciting journey to transform our Group and the way we’re shaping finance for good. We’re focusing on the future, investing in our technologies, workplaces, and colleagues to make our Group a great place for everyone. Including you!
Job Description
The Group is at a pivotal stage in delivering against its strategy; becoming increasingly proactive, nimble, and efficient is key to ensuring we make good decisions to maintain what differentiates us in the market. The Risk strategy, enabled by the Prudential & Analytics (P&A) Platform, is key to creating this shift for the Group.
P&A is to ensure Regulatory compliance is met for all activities within scope of Prudential & Analytics (P&A) platform and Transform Regulatory and Analytical capability across key technology enablers including data, modelling, reporting and infrastructure.
About this opportunity
A great opportunity has arisen to be part of a team within P&A platform as a Lab Engineering Lead. You will oversee all aspects of the engineering lifecycle, from technology design and architecture through to implementation and optimization, ensuring the infrastructure supports critical regulatory, prudential, and risk analytics functions.
Key Responsibilities:
1. Engineering Leadership:
o Lead the engineering team responsible for building and maintaining the end to end infrastructure and own the technology transformation of maintaining and decommissioning legacy platforms and GCP-based data infrastructure for the Prudential and Analytics Platform.
o Provide technical direction and ensure that engineering best practices are followed, from architecture through to implementation and testing. Serve as a technical mentor to engineers, fostering a culture of collaboration, innovation, and continuous improvement.
2. Cloud Infrastructure Design and Optimization:
o Design and architect scalable, high-performance cloud infrastructure on Google Cloud Platform (GCP) that supports real-time data processing, analytics, and regulatory compliance.
o Ensure that the platform is designed for high availability, resilience, and performance, with a focus on security and compliance with banking regulations.
o Lead the implementation of Infrastructure-as-Code (IaC) practices, using tools like Terraform or Google Cloud Deployment Manager to automate infrastructure provisioning and management.
3. End-to-End Engineering Delivery:
o Oversee the end-to-end delivery of engineering projects, from requirements gathering to deployment and post-production support.
o Ensure that the engineering team delivers high-quality solutions that align with the bank’s risk management, prudential, and analytics objectives.
o Collaborate with DevOps, quality engineers, and security teams to integrate CI/CD pipelines, automate testing, and ensure that the platform is continuously improved.
4. Data Infrastructure and Analytics Integration:
o Work closely with data scientists and risk analysts to build and maintain the data pipelines and infrastructure that support advanced risk analytics, stress testing, and regulatory reporting.
o Ensure that the platform can handle large-scale data ingestion, processing, and storage in a cost-effective manner.
o Integrate tools and frameworks for data governance, data lineage, and data security to ensure the platform adheres to the bank’s compliance requirements.
5. Security, Governance, and Compliance:
o Ensure that the infrastructure is compliant with internal and external regulatory requirements (e.g., GDPR, Basel III/IV, IFRS 9) for data protection and governance.
o Collaborate with security teams to implement secure access controls, encryption, and auditing tools to protect sensitive risk data.
o Ensure that the platform is built following DevSecOps principles, embedding security into every stage of the engineering lifecycle.
6. Stakeholder Engagement and Collaboration:
o Work closely with product owners, risk management teams, and enterprise architects to gather business requirements and translate them into technical solutions.
o Collaborate with other engineering teams across the organization to ensure alignment with the enterprise’s overall cloud strategy and risk management framework.
o Communicate engineering progress, risks, and roadmaps to senior leadership and business stakeholders, ensuring alignment with strategic objectives.
7. Continuous Innovation and Improvement:
o Stay updated on the latest GCP services, data infrastructure trends, and best practices, driving continuous improvements to the platform’s architecture and engineering processes.
o Drive the adoption of new tools and technologies that can enhance the platform’s performance, security, and scalability.
Key Qualifications:
* Extensive experience in leading engineering teams in the development of cloud-based data platforms, preferably with strong expertise in Google Cloud Platform (GCP).
* Deep understanding of cloud architecture, data engineering, data pipelines, and big data technologies (e.g., BigQuery, Dataflow, Pub/Sub).
* Hands-on Expertise in programming languages such as Python, Java, or Scala.
* Familiarity with microservices architecture and containerization technologies like Docker and Kubernetes.
* Experience with CI/CD pipelines and automation tools such as Jenkins, GitLab CI, Harris, and cloud infrastructure monitoring.
* Knowledge of the best practice in cloud infrastructure.
* Proven experience on digital transformation journey.
* Proven experience of operating in Agile software development environment.
Desired Experience and Skills:
* 10+ years of experience in software development and cloud engineering and leadership roles, with a preferred focus on data platforms and financial services.
* Expertise in big data processing frameworks (e.g., Apache Beam, Spark) and data governance tools.
* Experience in Agile methodologies and driving large-scale engineering projects to completion.
We also offer a wide-ranging benefits package, which includes:
* A generous pension contribution of up to 15%
* An annual bonus award, subject to Group performance
* Share schemes including free shares
* Benefits you can adapt to your lifestyle, such as discounted shopping
* 30 days’ holiday, with bank holidays on top
* A range of wellbeing initiatives and generous parental leave policies
Ready for a career where you can have a positive impact as you learn, grow and thrive? Apply today and find out more!
We're focused on creating a values-led culture, and our approach to inclusion and diversity means that we all have the opportunity to make a real difference, together.
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