Senior AWS Cloud Engineer | S4 | Data & AI Domain

Senior AWS Cloud Engineer | S4 | Data & AI Domain | Multiple Locations Country:
United Kingdom IT STARTS HERE

Santander () is evolving from a global, high-impact brand into a technology-driven organisation
, and our people are at the heart of this journey.
Together
, we are driving a customer-centric transformation that values bold thinking, innovation
, and the courage to challenge what’s possible.

This is more than a strategic shift.
It’s a chance for driven professionals to grow, learn, and make a real difference
.

Our mission is to contribute to help more people and businesses prosper
. We embrace a robust risk culture and all our professionals at all levels are expected to take a proactive and responsible approach toward risk management.

The Data & AI Domain at Santander is responsible for setting the strategic direction for data, analytics, and artificial intelligence across the organisation. It ensures that data is managed as a trusted enterprise asset and that advanced technologies are applied responsibly, securely, and effectively to create value for customers and the business.

is looking for a Senior AWS Cloud Engineer based out of Milton Keynes or Glasgow.

In this role, you will be responsible for engineering, operating, and evolving the AWS data lake platform, including the cloud infrastructure, shared services, and data engineering applications that sit on top of it. You will work closely with data engineering, analytics, security, and architecture teams to ensure the platform is secure, resilient, cost‑effective, and scalable, enabling teams to deliver data products safely and efficiently.

This is a hands‑on engineering role, focused on building and running cloud platforms rather than line management.

• Engineering and operating the AWS data lake infrastructure, ensuring high availability, resilience, performance, and security
• Designing, building, and maintaining Infrastructure as Code (IaC) for AWS environments, shared services, and data platform components
• Managing and supporting data lake platform services and applications, including ingestion frameworks, processing engines, and access layers
• Implementing and maintaining cloud-native security controls, including IAM, encryption, network controls, and policy enforcement
• Supporting Dev Ops and platform automation, including CI/CD pipelines, environment provisioning, and release management
• Monitoring, tuning, and optimising platform performance, reliability, and cost, working within a Fin Ops‑aligned operating model
• Providing operational support and engineering improvements for data lake workloads (batch, streaming, and interactive analytics)
• Working closely with data engineering and analytics teams to enable safe, repeatable deployment of data pipelines and applications
• Collaborating with enterprise architecture, security, and risk teams to ensure solutions align with group standards and regulatory expectations
• Contributing to platform standards, reference architectures, engineering patterns, and operational runbooks

We’re shaping the way we work through innovation, cutting‑edge technology, collaboration and the freedom to explore new ideas. To succeed in this role, you will be responsible for:

• The role holder will be responsible for their change and BAU budgets and will ensure that all delivery is managed to budget.
• Ensure all platform engineering activities are delivered in full compliance with regulatory requirements, the Santander Operational Risk Framework, and internal policies and standards.
• Proactively identify and address technology obsolescence and platform risks, working with technology peers to plan remediation, upgrades, and strategic retirement where appropriate.
• Engineer and operate platform capabilities that embed data policy requirements by design and implement technical controls and monitoring to surface non‑compliance for timely resolution.
• Own the reliability, quality, and timely delivery of data lake platform services supporting Santander UK workloads.
• Collaborate closely with data engineering, security, and platform teams to enable effective end‑to‑end delivery…