Lead Data Platform Engineer - DataOps

  • Capital One
  • Nottingham, Nottinghamshire
  • 21/07/2026
Full time Information Technology Telecommunications Python

Job Description

Lead Data Platform Engineer - DataOps

Location: Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire

About the Role

We are seeking a Lead Data Platform Engineer to own the resilience, scalability, and security of our core financial data ecosystem. This senior, hands on engineering role requires a technical expert who thrives on designing, building, and running high throughput, mission critical batch and real time data platforms in a regulated cloud environment. You will drive the strategic evolution of our data infrastructure, build automated, self healing platforms that eliminate operational toil, support next generation AI workloads, and ensure seamless flow of highly sensitive financial data.

What You'll Do
  • Design & Implementation: Lead the architectural design and deployment of high performance, secure data movement solutions within a regulated, mission critical financial environment.
  • Production Support & Reliability: Act as the subject matter expert and technical lead for resolving the most complex, high impact incidents affecting data pipelines, managing stakeholders during critical events and performing root cause analysis to engineer out systemic failures.
  • Data Security & Governance: Ensure integrity and security of highly sensitive data throughout the lifecycle, implementing and enforcing security best practices including encryption at rest and transit, access controls, and compliance.
  • Automation & Tooling: Develop and implement automation for common operational tasks, building tools and monitoring solutions that provide end to end visibility into the health of our data ecosystem.
  • Performance Optimization: Proactively analyze and tune performance of data movement jobs, platforms, and underlying AWS infrastructure, implementing optimizations to improve efficiency and reduce operational costs.
  • Collaboration & Leadership: Act as a technical leader and mentor for onsite and offshore team members, ensuring seamless collaboration, clear communication, and consistent operational standards across a distributed team while contributing to long term technical strategy and cloud modernization efforts.
What We're Looking For
  • A Platform or SRE Background: Solid experience in platform engineering, site reliability (SRE), or data operations, ideally within a large scale or regulated environment.
  • AWS Experience: Strong working knowledge of AWS and cloud first data pipeline orchestration tools such as Airflow, Glue, or EMR.
  • A Security Mindset: Understanding of compliance and security when managing sensitive data pipelines.
  • Strong Automation Skills: Comfortable using Python and Shell scripting to automate systems, manage dependencies, and handle large batch environments.
  • A Great Collaborator: Enjoys mentoring others, coordinates smoothly with distributed teams (onsite/offshore), and explains technical concepts to non technical stakeholders.
Where and How You'll Work

This is a permanent position based in our Nottingham office. We offer a hybrid working model: work from office and from home, with office presence three days a week on Tuesdays, Wednesdays, and Thursdays.

What's in It for You
  • Pension scheme, bonus, generous holiday entitlement, private medical insurance - plus flexible benefits such as season ticket loans, cycle to work scheme, and enhanced parental leave.
  • High performer career progression, investment in training through Capital One University and external providers.
  • Open plan workspaces and facilities designed to inspire and support you.
  • Nottingham head office includes a fully serviced gym, subsidised restaurant and dedicated development resources.
EEO Statement

Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact . All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.