Quant Data Engineer

The role

Kindred's ambition is to be the most insight-driven gambling company and in the last few years we've invested heavily in our data and analytics capabilities. We are now at the next stage of our journey, embarking on an initiative to enhance our sports and racing modelling and quantitative analysis capabilities. 

The Quantitative Team will work closely with the existing data science function to play an important role in delivering a truly innovative and unparalleled experience for the customers of our sportsbook brands. This work builds upon a culture of “data as a product” to significantly extend our proof-of-concept efforts in this area. 

We are looking for a software engineer with a strong interest in sporting applications and experience in building solutions to handle varied external data sources. On joining, you will be responsible for creating exceptional quality data products, primarily based on sports event and market odds data, for use within the Quantitative Team and the wider business. Your work will be integral in the team's delivery of market-leading probability and machine learning models to support our commercial and operational functions and decision making processes. 


What you will do

We expect that performing this role you will:

  • Develop software applications that handle external sources of sporting event and market odds data to create exceptional quality data products for our machine learning and probability models.
  • Develop software services which perform important data processing functions, such as ETL and data source federation.
  • Develop data access software layers to allow controlled access to Quantitative Team data products, by downstream Quant system components and teams within the wider business.
  • Contribute to the development of abstraction frameworks which allow data scientists to add data sources on a self-service basis.
  • Contribute to the data-modelling of sporting events, sports betting market and customer transaction data.
  • Contribute to the deployment of developed software applications, using containerisation and DevOps approaches and best practices.
  • Contribute to the wider Quant Engineering function, developing applications that meet meet defined business needs and SLAs and helping data scientists optimise machine learning and probability predictive modelling systems.
  • Adopt an agile approach to writing high-quality code that follows software engineering best practices and facilitates collaboration and re-usability by other team members.

About you

Essential experience, skills and characteristics:

  • Experience demonstrating excellent knowledge of software application development in Python
  • Experience developing solutions working with sporting data or demonstrable knowledge and interest in this area
  • Experience demonstrating excellent knowledge of SQL
  • Experience interacting with and handling varied data sets and data pipelines
  • Experience of data modelling across a range of complex domains
  • Experience with a range of data technologies, including PostgreSQL and Apache Kafka or equivalent technologies.
  • Experience deploying software into containerised environments.
  • A demonstrable portfolio of high-quality code demonstrating software-engineering best practices.
  • Excellent communication skills, both written and spoken.
  • A problem-solving growth mindset with the ability to take initiative and pick up new tools and concepts quickly.

Desirable experience, skills and characteristics

  • Good knowledge of additional coding languages, and in particular Java
  • Experience developing applications that form part of a quantitative or data science lifecycle
  • Experience writing and deploying software within cloud environments, ideally AWS.
  • Experience writing simple CRUD data management front-ends
  • Ability to prioritise competing requirements and liaise with multiple stakeholders.

Application process

Click on the "Apply Now" button and complete the short web form. Please add a covering letter in English to let us know your motivation for applying and your salary expectation. Our Talent Acquisition team will be in touch soon.


Kindred is an equal opportunities employer committed to employing a diverse workforce and an inclusive culture. As such we oppose all forms of discrimination in the workplace. We create equal opportunities for all our applicants and will treat people equally regardless of and not limited to, gender, age, disability, race, sexual orientation. We are committed not only to our legal obligations but also to the positive promotion that equal opportunities bring to our operations as set out in our sustainability framework. Kindred has an ESG rating of AAA by MCSI.


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Kindred House, 17-25 Hartfield Road, Wimbledon, London, United Kingdom, SW19 3SE
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  • Type of Employment:
    Full Time Permanent
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25 Days Holiday
Private Medical
Wellbeing Allowance
Maternity/Paternity leave
Eye test
3 days CSR leave
Anniversary awards
Travel loan
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