Software Engineering Manager - Data Operations

Capital One - UK
Newark-on-Trent
4 days ago
Applications closed

Related Jobs

View all jobs

Software Engineering Manager - Data Operations

Manager, Software Engineering - ADX

Gen AI Engineering Manager, Human Data Quality

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

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

Software Engineering Manager - Data Operations

About the Role

It’s an exciting time at Capital One UK.

We’re on a mission to create our next generation, cloud-based data ecosystem, to unlock the power of data, increase financial inclusion and deliver transformative experiences to our customers.

The Win with Data team owns the data ecosystem. It  captures and distributes data in real time, makes sure data is accurate & easy to use, enabling analysis for deep insight backed by the power of a Cloud based data Lake House,  scalable machine learning, and powerful data processing, to provide the right data to enable effective Business decisions.

We are seeking a Data Operations Manager to join us on our mission, where you’ll lead a team of Engineers in evolving our capabilities to solve complex problems and unlocking data to help our customers. You will enable the evolution of our Cloud based data ecosystem, shape how we build and create effective data-driven solutions, whilst growing and nurturing a team of talented Engineers. 

What you’ll do:

  • Lead a multi-disciplined team of support and infrastructure engineers, managing, evolving and supporting our cross-platform batch data environments.

  • Create and embed a positive team culture across all engineers within the team  (e.g. curious, mutually challenging, collaborative)

  • Improve platform quality and efficiency (e.g. improve resiliency, availability, performance, etc.)

  • Provide technical guidance and coaching for all engineers within your team across all areas of their focus

  • Support and grow the productivity of your team, enabling them to rapidly deliver stable service

  • Enhance and shape the Engineering and Agile delivery processes within your team to support quality and pace and improvements to the service that can be game changing for the services we offer
     

  • Coach, nurture and develop the associates in your team, supporting their personal and technical growth

  • Collaborate with cross-functional peers and Senior Software Engineering managers to ensure the successful delivery of our cross-team deliverables and service targets.

  • Work with Agile Delivery Leads and Senior Leaders to plan, prioritise, refine and estimate key deliverables across our programs of work

  • Identify and escalate challenges and issues with deliverables, supporting the reporting of progress and potential remediation solutions

  • Ensure our platforms are performant, reliable, scalable and secure

  • Enhance the engineering and agile delivery processes with the team

What we’re looking for:

  • You’ll have experience of leading a team of Engineers with a diverse range of skill sets focused on data movement and transformation. Collaborating with stakeholders to maintain services whilst influencing change across the wider team

  • You have experience of managing a team responsible for services and the challenges associated with this

  • You’re excited about recruiting and developing great engineering talent

  • Appreciation of the compliance needs of a highly regulated business and how this can impact the management of data oriented services and platforms

  • The technical awareness to balance trade-offs involved in solving technical problems to restore platform service but also able to identify changes needed to prevent service issues proactively.

 

  • You communicate actively with peers, your reports, and can handle escalations to business and technical stakeholders 

  • An in date AWS Certification, for example Cloud Practitioner, Associate Architect or Associate Developer

Experience that would be advantageous:

  • Experience in working with the below toolsets:

    • Ab>Initio

    • Python

    • Snowflake

    • Sterling File Transfer

    • Logz.io and New Relic

    • AWS services

Where and how you'll work

This is a permanent position and is based in our Nottingham office. We’ve adopted a flexible hybrid working model - one that creates the opportunity to work in your own way, but also provides great spaces for in-person collaboration.  

We’re big on collaboration and connection, so you’ll be based in our Nottingham office 3 days a week on Tuesdays, Wednesdays and Thursdays.

Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you.

We are committed to creating a level playing field and seek to create teams that are representative of our customers and the communities we serve.  We’d love to hear from you if you identify with a typically under-represented group in our industry and are particularly keen to hear from women and ethnic minority candidates.

What’s in it for you

  • Bring us all this - and you’ll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation

  • We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers)

  • Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance – with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave

  • Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. 

What you should know about how we recruit

We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages.

We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few:

  • REACH– Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies

  • OutFront– to provide LGBTQ+ support for all associates

  • Mind Your Mind– signposting support and promoting positive mental wellbeing for all

  • Women in Tech– promoting an inclusive environment in tech

  • EmpowHER- network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry

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.

For technical support or questions about Capital One's recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


Who We Are

At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.

Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.