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Job Details

Job ID R66174
White Collar Factory (95009), 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.

Data Engineer

Data is the bedrock on which Capital One operates, and the efficiency, security and quality of that data is vital in understanding the needs of our customers and the requirements of our internal teams.  By focusing on the speed of data ingestion and delivery, along with efficient and cost effective storage we are able to provide relevant data to everyone as and when they need it.

Developers in this role will create high performant data ingestion pipelines, write highly efficient data transformation tools, with an incredibly high degree of stability and security.  With data coming from all parts of the Capital One organisation, an ability to work closely with other teams and disciplines is incredibly important.

The key requirement is an individual who has knowledge of high performance application development, a strong understanding of data management and an ability to apply that to a complex and data-rich development environment.

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

  • Design and develop data enablement, access and validation platforms for Data Scientists, Data Stewards and other interested parties.

  • Working as part of a self-organised data engineering team to deliver tools and platforms that are performant, reliable, scalable and secure

  • Collaborate with product managers and quality engineers to deliver features and services based on the product roadmap.

  • Design and develop well structured, clean and efficient code to meet the needs of all stakeholders

  • Work alongside US development teams in the development of Enterprise Enablement tools and services

  • 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

  • Responsible for the design and documentation of feature implementation and standardisation

Skills and Experience

  • You have a good working knowledge of programming languages such as Python, Ruby or similar

  • You have previously used programming languages like Java, C# or Go

  • You are comfortable developing containerised services and architectures

  • You are able to deploy and use AWS infrastructure or other related cloud architecture

  • You have used or are aware of distributed data platforms like EMR, Spark or similar.

  • You have a proven ability to deliver high quality applications.

  • You are excited by the cloud and the opportunities that it brings.

  • You enjoy solving real world problems and are comfortable working in a complex regulated environment.

  • You are able to effectively communicate and collaborate with other engineers and peers remotely

  • You care about quality and are happy to use approaches such as Pair Programming, TDD and BDD.

Beneficial Experience

  • Past experience of transforming and processing big or real-time data sets

  • Experience of working within an Enterprise environment

  • Provable past examples of working with, and developing against, AWS architecture

  • Example live products using tools such as Kafka or RabbitMQ or similar

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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

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).

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