Description:
Capital One is looking for an experienced Software Engineering Manager to lead a team of eight Software Engineers in our Nottingham office, focusing on building and evolving our Data capabilities across the UK business and within our advanced Cloud-based Enterprise Data Ecosystem.
What you’ll do
- Lead a high-performing data engineering team: Lead and empower eight Software Engineers to deliver high-quality, scalable, resilient data solutions at pace.
- Champion people leadership and development: Mentor engineers for personal and technical growth, driving a material positive impact on their careers and business influence.
- Drive technical excellence and architecture: Provide strong technical leadership, maintain a high engineering bar, manage technical risks, and influence architectural direction.
- Deliver the product roadmap: Own deliveries and ways of working, partnering with Product and Change Delivery to shape the roadmap and ensure timely delivery of valuable data products in a complex regulatory environment.
- Foster innovation and modern practices: Encourage innovation, advocate for effective use of AI developer tooling - leading by example - and adhering to modern software development patterns and best practices.
- Forge partnerships: Build strong cross-functional relationships across Data Engineering and the wider UK/US Enterprise to provide the team with clear context and purpose.
- Platform and application management: Own the team's business applications and platforms. Ensure they remain well-managed, secure, and up-to-date; and provide effective incident support through your team.
What we’re looking for
- An approachable, inquisitive, problem-solving leader focused on business value and passionate about developing talent.
- Comfortable with technology, architectural decisions, and technical trade-offs, backed by a previous background as an experienced software engineer.
- Experience with data platform and ETL/orchestration technologies such as Apache Airflow, Spark, AWS Glue, and Snowflake.
- Experience with (or more specifically strong advocacy for) AI developer tooling such as: Claude Code, Copilot, Windsurf, and Gemini
- Proficiency in delivering solutions within a major Public Cloud service, such as AWS.
- Experience operating within an Agile environment (e.g. Scrum) in a complex, regulated industry like Financial Services.
- A strong sense of ownership, excellent communication skills, and a positive, proactive bias for action balanced with self-reflection.