London, England, £75000 - £90000 per annum + bonus + benefits
Job Type: Permanent
Managed by: Open Source Team
Python Developer (Data Pandas NumPy Linux Docker Agile). Are you a bright, curious and collaborative Python Developer looking for an opportunity to work alongside a friendly, social and incredibly intelligent team of developers and data scientists? You could be utilising your skills within a collaborative, honest and flat structured company where everyone is accessible and technology is at the heart of the business. You'll be encouraged to try out new technologies and will be trusted to make your own decisions allowing you to always use the best tool for the job and make your mark on the business.
Innovative technology company within the sports betting space is seeking a Python Developer to work closely with business and technology stakeholders and data scientists to build new iterations for a highly scalable data analytics platform. You'll be working on interesting and challenging Greenfield projects utilising modern technology and software practices whilst researching, testing and implementing innovative solutions to improve the data analysis capabilities.
The company is based in a fantastic, well known and scenic area of London with plenty of pubs, restaurants and shops nearby. You can enjoy a wide range of perks including free breakfast, lunch and dinner every day, an on-site gym and sauna, games room with pool tables and dart boards, annual engineering events, regular social events and flexible working hours.
*Strong Python development skills and experience with Pandas and NumPy
*Experience with Docker
*Previous experience building high-performance and scalable data pipelines
*Advocate of Agile methodology
*Knowledge of Cloud platforms (ideally AWS)
*Strong communication and collaboration skills
As a Python Developer (Data Pandas NumPy) you can expect to earn a competitive salary (up to £90k) plus bonus and benefits.
Apply today or call to have a confidential discussion about this Python Developer (Data Pandas NumPy) role.