Python Developer

Venture Up; Greater London; On-site; GBP 50,000 - 70,000; Full time

Benefits offered by this job

Performance-based bonus scheme

Learning and development support

30 days holiday (exclusive of bank holidays)

Job summary

A sports betting technology firm in London is seeking a Python Engineer to develop tools and systems for traders. The successful candidate will have 2-4 years of experience in Python development and must be able to write clean, maintainable, and well-structured code using OOP. Responsibilities include building data pipelines, troubleshooting data quality issues, and analyzing sports betting data. This position offers a performance-based bonus scheme, learning and development support, and 30 days of annual leave.

Qualifications

• 2-4 years experience in Python development with OOP.
• Ability to write clean, maintainable and well-structured Python code using OOP principles.
• Familiarity with Docker / containers.
• Basic understanding of APIs (REST).

Responsibilities

• Develop internal tools and systems to support traders.
• Build and maintain end-to-end sports data pipelines.
• Monitor, investigate, and troubleshoot data quality issues.
• Maintain and enhance existing software projects.
• Analyse sports betting data and communicate actionable insights.
• Collaborate closely with users and stakeholders.

Skills

Python development

Object-Oriented Programming (OOP)

Docker

API understanding (REST)

Job description

Python Engineer – Sports betting Hedge Fund – London

Please note this role cannot sponsor. Please do not apply if you are seeking sponsorship

Job Summary

Python Engineer required for a successful startup delivering innovative solutions to the sports betting industry. They capitalize on advanced statistical models and machine learning to interpret the complexities of sports, providing deep analytical insights. The successful candidate should have experience developing sports models used for prop trading.

Key Responsibilities

• Develop internal tools and systems to support traders, including automation scripts and web-based control consoles.
• Build and maintain end-to-end sports data pipelines, covering data scraping, data cleaning, transformation, and reliable data storage.
• Monitor, investigate, and troubleshoot data quality issues, such as missing, inconsistent, or duplicated records.
• Maintain and enhance existing software projects, improving stability, performance, and usability over time.
• Analyse sports betting data and communicate actionable insights to traders and other non-technical users.
• Collaborate closely with users and stakeholders to understand requirements, propose solutions, and deliver high-quality features.

Qualifications

• 2‑4 years experience in Python development with OOP.
• Ability to write clean, maintainable and well‑structured Python code using OOP principles.
• Familiarity with Docker / containers.
• Basic understanding of APIs (REST).

Benefits

• Performance‑based bonus scheme.
• Learning and development support.
• 30 days holiday (exclusive of bank holidays).
• Full‑time employment.