ABOUT US

We are Data Services, our mission is to unlock the value of data by delivering high-quality, reliable, and secure data services that are accessible, understandable, and actionable! We continuously evolve our offerings, using modern cloud-based technologies, and foster strong partnerships to help our colleagues in the Bank navigate the complexities of a data-driven world and achieve their strategic objectives.

JOB DESCRIPTION

The use of data within Central Banking is evolving. The combination of data being collected at scale and significant advances in data technology has created the need to expand our Data Engineering team in Data Services. We are building the Bank’s strategic cloud data platform to host products that solve real-world problems while putting customers at the centre. The Principal Data Engineer will play a pivotal role in designing, implementing, and supporting data pipelines on the Bank’s data platform. You will lead innovative, data-centric products and predictive analysis work while developing automated solutions that continuously improve data engineering across the Bank. Your technical leadership will establish a centre of excellence, ensure regulatory compliance, and deliver smart, customer-focused designs.

ROLE REQUIREMENTS

• Design, develop, test, and deploy scalable, cost-effective, and secure distributed architectures using Azure services such as Azure Data Factory and Azure Databricks.
• Collaborate with multi-functional teams to translate business and technical requirements into innovative, automated solutions.
• Continuously innovate and evolve data ingestion and transformation framework design and implementation to meet modern data platform needs while providing comprehensive guidelines for customers.
• Manage the technical relationship with one or more Azure Data product groups, identifying common solution patterns and developing reusable frameworks.
• Lead the identification of dependencies and produce detailed design documents for data pipeline solutions.
• Leverage subject-matter expertise to drive project and release plans with key partners including SMEs and Product Owners.
• Participate in organisation-wide projects and steering committees while devising strategies for containerisation, orchestration, and API management.
• Design robust data replication architectures and implement methods to integrate AI and ML into platform and backend solutions in line with responsible AI principles.
• Collaborate with the data governance team to enforce a comprehensive data catalogue, maintain detailed dataset descriptions, and ensure alignment to security and privacy regulations.
• Work with Cloud teams and key stakeholders to optimise cloud costs using FinOps principles and enforce data platform-centric FinOps policies.
• Provide mentorship and coaching to data engineers on modern tools and technologies in Azure, data pipeline management, coding practices, design principles, and implementation patterns.