Basketball / American Football Data Engineer

Skillcorner; City of London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A dynamic sports data company is seeking a Data Engineer to support its growing US sports business. This role involves developing internal tools and a Streamlit WebApp while collaborating with analysts to enhance sports data metrics. Candidates should have over 2 years of experience and knowledge of basketball and American football analytics, and strong skills in Python and SQL. The position is full-time with possible remote work options.

Qualifications

• 2+ years of experience in a data engineering / webapp development role.
• Strong knowledge of basketball analytics, including key metrics and trends.
• Basic knowledge of American football analytics.

Responsibilities

• Develop and maintain internal tools (GCP Pipelines, Streamlit).
• Develop an external Streamlit-based WebApp.
• Work with US Sports analyst to implement and scale the usage of new metrics.

Skills

Python

SQL

GCP

Basketball analytics

American football analytics

Education

Undergraduate or graduate degree in data science, computer science, engineering, or related field

Tools

BigQuery

Streamlit

Job description

# Basketball / American Football Data Engineer## SkillCorner is hiring!## Job DescriptionHOW TO APPLY: If you’re interested in this position, please fill in this . Only applicants that have responded to the form will be considered. Due to the high volume of interest, we can only provide personalized responses to candidates selected for an interview. Thank you for your understanding.ONLY FORM APPLICATIONS WILL BE REVIEWEDSkillCorner is hiring a data engineer to support its rapidly expanding US sports business. In this role, you will work with the analysis and research team, while collaborating heavily with the engineering and business teams to elevate the value of SkillCorner’s cutting-edge tracking and event data. You’ll own and develop the internal data infrastructure for internal and external teams to work with US Sports data**Core Responsibilities*** Develop and maintain internal tools (GCP Pipelines, Streamlit) to store, organize, distribute, and maximize the accessibility of SkillCorner data.* Develop an external Streamlit-based WebApp, building on existing resources* Work closely with teammates to distribute those tools through open platforms like GitHub, Colab etc.* Work with US Sports analyst to implement and scale the usage of new metrics , insights and frameworks* Support SkillCorner US Sports clients with data engineering matters when appropriate## Preferred Experience**Qualifications*** Undergraduate or graduate degree in data science, computer science, engineering, or a related field.* Strong knowledge of Basketball analytics, including key metrics, trends, and performance evaluation techniques.* Basic knowledge of American football analytics, including key metrics, trends, and performance evaluation techniques.* Proficiency in Python, SQL, and Cloud Tools. In particular, GCP, BigQuery and Streamlit are a big plus* 2+ years of experience in a data engineering / webapp development role* Experience working in ambiguous environments with minimal supervision* Excellent analytical mindset, problem-solving skills, and ability to work collaboratively in teams.**What Will Make You Stand Out*** A unique combination of basketball expertise and data engineering skills, with a demonstrated passion for data and sports.* A proactive approach to developing new metrics, visualizations, and tools to evaluate players, teams, and tactical trends.* Comfort working remotely while maintaining high productivity and effective communication.* Contract Type: **Full-Time*** Location: **Paris, London*** Experience: **> 2 years*** **Possible full remote**