OBS! Ansökningsperioden för denna annonsen har
passerat.
Arbetsbeskrivning
Kambi is a leading B2B provider of premium sports betting services for online and retail gambling operators. Our mission is to create the world’s leading sports betting experience, from front-end user interface to customer intelligence, risk management and odds compiling. With offices in Stockholm, Uppsala, London, Malta, Bucharest, Philadelphia and Sydney together with 800 passionate and highly skilled people, we live and breathe sports betting.
Kambi is searching for a motivated Python Engineer to join our Algorithmic Team as a Tech Lead. This is an opportunity to take part in cutting edge algorithmic solutions supporting our B2B Sportsbook operations.
You will join an agile team based in central Stockholm where we work closely with Data Scientists and Quants to build and refine Kambi's quantitative solutions. As a Tech Lead, you are expected to have the senior role in the team and as the team grows also have staff responsibilities. You will report to Head of Data Science.
As Fluency in English is essential - interest in, and experience of, sports betting is meritorious. We work in a Linux environment.
Responsibilities:
• Develop software solutions for sports trading and machine learning.
• Collaborate with Data Scientists and Quants to improve existing solutions.
• Scaling current data engineering solutions.
• Keep up-to-date with latest technology trends.
Requirements to be successful:
• Experience and skills in developing software in Python.
• Ability to work on multiple tasks and prioritize own time.
• Can-do attitude.
• Ability and ambition to lead
It is also meritorious if you have:
• An academic degree in quantitative discipline (computer science, mathematics, physics, etc.).
• Creative and experimental mind-set.
• Strong problem solving skills with an emphasis on product development.
• Advanced knowledge of SQL, pySpark, and Kafka.
• Experience working with cloud technologies: AWS, GCP, etc.
• Experience using Pandas, Numpy, Pydantic.
• Exposure to any container system.
• A drive to promote innovative algorithmic solutions and data driven decision making.
• Excellent interpersonal skills and ability of technical minded colleagues.
• Previous exposure to data engineering.
If you want to be part of a dedicated team in central Stockholm please apply below. Since we will be interviewing candidates continuously, send your application as soon as possible.