Software Engineering Manager - Data Engineering in Nottingham

Software Engineering Manager - Data Engineering in Nottingham

Nottingham Full-Time 70000 - 90000 € / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead a dynamic team to build innovative data solutions and drive technical excellence.
  • Company: Join Capital One, a leader in financial services with a focus on innovation.
  • Benefits: Enjoy flexible working, generous holidays, private medical insurance, and a vibrant office environment.
  • Other info: Be part of a diverse and inclusive culture with excellent career growth opportunities.
  • Why this job: Make a real impact in a cutting-edge data engineering role while mentoring future tech leaders.
  • Qualifications: Proven leadership experience and a strong background in software engineering and data technologies.

The predicted salary is between 70000 - 90000 € per year.

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. This is a permanent position based in our Nottingham office with a hybrid working model, allowing you to work from the office or from home.

What you’ll do:

  • Lead a high-performing data engineering team: empower eight Software Engineers to deliver high-quality, scalable, and resilient data solutions at pace.
  • Champion people leadership and development: mentor engineers for personal and technical growth, driving a 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 effective use of AI developer tooling, and adhere 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, ensuring they remain well‑managed, secure, and up‑to‑date while providing effective incident support.
  • Build and maintain partnerships with organisations such as the Women in Finance and Race At Work Charters, Stonewall, and upReach to support diversity and inclusion.
  • Participate in internal networks: REACH, OutFront, Mind Your Mind, Women in Tech, EmpowHER, Enabled.

Qualifications:

  • Demoed leadership skills and experience managing a team of eight or more engineers.
  • Comfortable with technology, architectural decisions, and technical trade‑offs, with a background as a senior software engineer.
  • Experience with data platform and ETL/orchestration technologies such as Apache Airflow, Spark, AWS Glue, and Snowflake.
  • Experience with (or 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.

Job Type: Full Time

Level: Mid/Senior

Technology Benefits:

  • Immediate access to pension scheme and bonus.
  • Generous holiday entitlement.
  • Private medical insurance.
  • Flexible benefits, including season‑ticket loans, cycle‑to‑work scheme, and enhanced parental leave.
  • Open‑plan workspaces, fully serviced gym, subsidised restaurant, mindfulness and music rooms.

Software Engineering Manager - Data Engineering in Nottingham employer: VELOCITY MOBILE LTD.

Capital One is an exceptional employer, offering a dynamic work environment in Nottingham that fosters innovation and personal growth. With a strong commitment to employee development, competitive benefits including private medical insurance and flexible working arrangements, and a culture that champions diversity and inclusion, we empower our Software Engineering Managers to lead high-performing teams while making a meaningful impact in the financial services sector.

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Contact Detail:

VELOCITY MOBILE LTD. Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Software Engineering Manager - Data Engineering in Nottingham

Tip Number 1

Network like a pro! Reach out to current employees at Capital One on LinkedIn or through mutual connections. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!

Tip Number 2

Prepare for the interview by brushing up on your technical skills and leadership experience. Think of examples where you've led teams or tackled complex projects. We want to see how you can empower others and drive innovation!

Tip Number 3

Show your passion for data engineering! During interviews, share your thoughts on modern practices and AI developer tooling. This will demonstrate that you're not just looking for a job, but that you're genuinely excited about contributing to the team.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the Capital One family!

We think you need these skills to ace Software Engineering Manager - Data Engineering in Nottingham

Leadership Skills
Team Management
Technical Leadership
Data Engineering
ETL Technologies
Apache Airflow
Spark

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Software Engineering Manager role. Highlight your leadership experience and any relevant technical expertise, especially in data engineering and cloud technologies.

Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about leading a data engineering team. Share specific examples of how you've empowered teams in the past and how you plan to drive innovation at Capital One.

Showcase Your Technical Skills:Don’t shy away from detailing your technical background. Mention your experience with data platforms, ETL technologies, and any AI developer tools you've used. This will help us see your fit for the role right away.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values!

How to prepare for a job interview at VELOCITY MOBILE LTD.

Know Your Tech Inside Out

Make sure you’re well-versed in the technologies mentioned in the job description, like Apache Airflow, Spark, and AWS. Brush up on your knowledge of data platforms and ETL processes, as you’ll likely be asked to discuss your experience with these tools during the interview.

Showcase Your Leadership Skills

Prepare examples that highlight your leadership experience, especially managing teams of eight or more engineers. Think about how you've empowered your team, mentored individuals, and driven technical excellence in past roles. Be ready to discuss specific situations where you made a positive impact.

Understand the Business Context

Familiarise yourself with Capital One’s business model and the regulatory environment they operate in. This will help you articulate how your technical decisions can align with business goals and compliance requirements, showing that you can think beyond just the code.

Emphasise Collaboration and Innovation

Be prepared to talk about how you foster innovation within your team and build cross-functional relationships. Share examples of how you’ve encouraged the use of AI developer tooling or modern software practices, and how these have benefited your projects and team dynamics.