Data Engineer

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Prospect

Data Engineer

Competitive

London

Hybrid

RECENTLY POSTED
Graduate
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Leader

Description

Hybrid requirements: 3 days per week in the office.
Prospect is looking for someone who is equally passionate about football and analytics and is excited about the possibilities of the intersection of the two. The ideal candidate would have experience as a problem solver, data engineer, and communicator, preferably with a degree in a quantitative field (such as computer science, engineering, physics, statistics or applied mathematics). You’ll work as part of cross-functional teams to help solve challenges and aid decision makers across the sporting landscape, from elite professional teams, to leagues and broadcasters, applying advanced analytics and modelling techniques.
Roles & Responsibilities:
A passion for sport with an understanding of our clients’ sporting disciplines or an eagerness to learn about them. A strong programming proficiency in Python and SQL querying. Experience with relational database platforms. Knowledge of cloud technologies. It is an advantage (but not a requirement) to have had experience working with AWS. Excellent collaboration and communication skills. 4+ years of experience in big data related software development; experience with data modelling, design patterns and building highly scalable and secured solutions. Practical knowledge of software engineering concepts and best practices, like testing frameworks, packaging, API design, DevOps, DataOps and MLOps. The right to work in the United Kingdom.

Role tech stack

python
Python
sql
SQL

Culture overview

As a growing company, we are always interested in hearing from bright, motivated people with experience at the cutting edge of sport or any other industry with transferable skills.

Employee benefits

Extra seasonal holidays
Flexible Working
Learning Allowance
Learning/Development days
Work anywhere

Office vibe

Beer Fridge
Free Coffee
Hackathons
Open Plan
Social Events
Team Building Days

Location

Leadership

James Tozer
Co-Founder, Director of Analytics

Tech overview

We have developed a suite of AI products that give teams across multiple sports an edge. We deliver predictive and prescriptive insights that help inform-decision making from squad planning and player recruitment, to match tactics and player development. At Prospect, we believe in the power of combining data and analytics with human intuition. As such, our solutions have been designed to provide objective, actionable insights that can complement the human expertise and intuition of coaches, directors and executives.

Engineering principles

Agile Process
Code Reviews
Communication and collaboration
Infrastructure as code
Mentoring
Scrum

Company tech stack

amazon-s3
Amazon S3
aws
AWS
aws-lambda
AWS Lambda
confluence
Confluence
github
GitHub
jira
Jira
pyspark
PySpark
python
Python
snowflake
Snowflake
sql
SQL
Prospect
Data Engineer
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