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# AWS Cloud Engineer

- **Company:** Santander View All Jobs
- **Location:** Milton Keynes, UK
- **Experience:** Expert
- **Salary:** £80,000.0 - £120,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Airflow, Amazon Web Services, Amazon S3, Data Analysis, Application Layers, JIRA, Cloud Computing, Cloud Computing Security, Cloud Engineering, Computer Programming, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Warehousing, DevOps, Github, Identity and Access Management, Python (Programming Language), Unix Shell, NoSQL, Performance Tuning, Release Management, Aws Command Line Interface (CLI), Scala (Programming Language), SQL Databases, Data Streaming, Datadog, Data Logging, Data Ingestion, System Availability, Delivery Pipeline, Apache Spark, Infrastructure as Code (IaC), Amazon Virtual Private Cloud (VPC), Git, Cloudformation, Data Lakes, Kubernetes, Infrastructure Automation Frameworks, AWS Data Analytics, Real Time Data, Virtual Agents, Cloudwatch, Terraform, Aws Iot, Data Pipelines, Docker, Jenkins, Databricks
- **Published:** August 14, 2026
- **Apply:** https://www.careerjet.co.uk/job/gb95a4425633853c82698aacc26ebd1285/eaa

## About the Role

Very desirable is experience with Agentic AI in a ELT/ETL capacity (Preferred)
Exposure to Kafka or streaming platforms from an infrastructure or operational perspective (Preferred)
Experience with observability tooling (logging, metrics, alerting) for cloud platforms (Preferred)
Understanding of FinOps, cost optimisation, and capacity management in AWS (Preferred)
Familiarity with data governance tooling such as data catalogues or access control frameworks (Preferred)
Experience working in Agile / product-aligned teams. Working knowledge of JIRA (Preferred)
minimum of seven (7) years of relevant experience demonstrating delivery expertise (Preferred)
Education
Desirable AWS certification (e.g. AWS Solutions Architect - Associate/Professional, or AWS Data Engineer) (Preferred)
Languages
English (Preferred)
Spanish (Preferred)
Hard Skills
Practical experience with AWS cloud architecture, including services like S3, IAM, VPC, KMS, CloudWatch, CloudTrail, Glue, Athena, EMR, Lambda, Step Functions, and SageMaker. (Preferred)
Skilled in SQL and NoSQL databases for implementing data warehouses and data lakes. (Preferred)
Experienced in data ingestion, processing, transformation, and delivery using batch, streaming, and real-time methods. (Preferred)
Experience supporting Spark-based platforms (e.g. EMR, Glue, Databricks) (Preferred)
Proficient with DevOps tools and practices (Git, Jenkins, Docker, Kubernetes) as well as ETL frameworks (Apache Spark, Airflow, AWS IoT Analytics/Device Management/Events). (Preferred)
Programming expertise in Python, Java, Scala, SQL, Spark, Unix shell scripting, and AWS CLI. (Preferred)
Great background in building and managing AWS platforms for analytics and data lake workloads, including application and framework management. (Preferred)
Hands-on experience with Infrastructure as Code (Terraform, CloudFormation, CDK) and CI/CD tooling (Git, Jenkins, GitHub Actions, CodePipeline). (Preferred)
Solid understanding of cloud security-identity and access management, encryption, and network isolation. (Preferred)
Supports batched, streaming, and near-real-time data workloads from platform and infrastructure perspectives. (Preferred)
Confident operating platforms in regulated or controlled environments. (Preferred)
Soft Skills
Ability to influence Delivery Managers and technical leads without direct management control. (Preferred)
Confident engaging senior stakeholders with clear, decision led updates. (Preferred)
Skilled at balancing competing priorities and driving alignment. (Preferred)
Comfortable challenging plans constructively and diplomatically. (Preferred)

## Description

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.
The difference you'll make:
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 DevOps and platform automation, including CI/CD pipelines, environment provisioning, and release management
Monitoring, tuning, and optimising platform performance, reliability, and cost, working within a FinOps-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 across the data lake ecosystem and minimise friction between infrastructure and application layers.
Partner with enterprise and data architecture to ensure cloud infrastructure, shared services, and data lake applications conform to approved group architectures and engineering standards.
Develop a great understanding of how the data lake platform supports customer journeys and financial data flows, ensuring infrastructure and services are secure, resilient, and fit for purpose.
WHAT YOU'LL BRING
Our people are our greatest strength. Every individual contributes unique perspectives that make us greater as a team and as an organisation. We're enabling teams to go beyond by valuing who they are and empowering what they bring.
The following requirements represent the knowledge, skills, and abilities essential for success in this role. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.


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