Software Development Engineering Tools & Analytics - Data Engineering

Regents Place (95001), United Kingdom, London, London

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.

Software Development Engineering Tools & Analytics - Data Engineering

Data is fundamental to how Capital One operates, and it is vital that the data we have is available to those who need it quickly, clearly and without barriers. By allowing our data scientists and owners to quickly review, analyse and dive into the data we collect - as we collect it - we allow them to provide not only great service to our customers, but also great tools and experiences to everyone within Capital One.

Developers in this role will have the opportunity to work with a wide range of technologies and with a variety of different teams to provide them with the tools, pipelines, scripts and applications to allow them to gain insights into the collected data as and when they need it.

The key requirement is an individual who is comfortable with a number of different programming languages and enjoys working alongside a number of different groups to help achieve their goals in a data-rich and fast moving development environment.

Specific Responsibilities and Experience

We're looking for the best and the skills below are only a guide to what we're looking for. If you don't meet all the requirements but think this role is for you, we'd really like to hear from you.

Main Responsibilities

  • Designing and developing visualisation tools and processes for data scientists, engineers and other parties
  • Working as part of a self-organised data engineering team to deliver tools and technology as needed
  • Working alongside a number of different Product Owners to identify individual requirements
  • Develop and design common presentation and tools to support the development of analytic pipelines
  • Develop automation and testing tools to prove the correctness of your work for consumption by the on-team Quality Engineers
  • Collaborating with our internal security review team on security practices within Data Engineering
  • Improve yours and your peers knowledge and skills in development and programming methodologies
  • Mentoring less experienced developers as and when required
  • Responsible for the design and documentation of feature implementation and standardisation

Required Skills and Experience

  • Expert knowledge of JavaScript and other HTML 5 technologies
  • Previous use of presentation techniques and technologies such as D3js
  • Extensive use of scripting languages such as Python, R or Ruby to automate processes
  • Experience of database technologies such as SQL and NoSQL on multiple projects
  • Experience of working with interconnected RESTful APIs and other HTTP services
  • Examples of using and designing data formats such as JSON or equivalent
  • DevOps experience within the AWS infrastructure or related cloud architecture
  • A strong desire to learn new techniques and processes
  • Knowledge of estimation and task breakdown along with long term planning in an agile environment
  • Knowledge of DVCS tools such as Git or Mercurial

Beneficial Experience

  • History of working with NoSQL databases like MongoDB
  • Experience of using Chef and Troposphere for configuration and system management
  • Background of working with multiple data scientists and architects
  • Past experience of transforming and processing big or real-time data sets
  • Experience of working within an Enterprise environment
  • Development experience using TDD or BDD

About Capital One

Changing banking for good is not an idle statement, it's our core vision and applies to everything we do. For us, it's a no brainer. A happy customer is a loyal customer. By bringing innovation, simplicity, and, most importantly, humanity to the financial services industry we will succeed in delivering this mission. We are transforming ourselves into a FinTech company.

Capital One has been voted the Best Workplace for the last 3 years and we're also recognised for our work in treating customer fairly. We have two development centres; Nottingham and London and in these we are delivering the next big things that will help our customers succeed.

We'd like you to be part of it.

Your influence will extend far beyond the immediate team. Working with product owners and designers, the innovative and creative side to your personality will shine through. Ever the problem-solver, your data-driven approach to solution design makes you the strongest advocate of our customers.

We offer a very competitive rewards package, a great pension scheme, bonus, generous holiday entitlement and private medical insurance. You can look forward to a host of other benefits including cycle to work and season ticket loans.

Capital One is committed to diversity in the workplace.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at


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