Data Engineer (Python/AWS) - Sports Betting AI
Stockholm
Kambi
Kambi is the leading B2B sports betting platform provider of premium sports betting technology and services to the regulated global betting and gaming industry.About Kambi
Kambi Group plc is a leading B2B provider of premium sports betting services to licensed gaming operators. Our services provide an end-to-end solution for operators wanting to launch a standalone Sportsbook or bolster their existing offering with an innovative sports betting product. From front-end user interface to customer intelligence, risk management and odds compiling, all built on our in-house developed software, we strive to deliver the ultimate service and solution to our partners.
Our vision is to create the world’s leading sports betting experiences, together with our partners.
About Tzeract:
Tzeract is a pioneering sports betting AI pricing company, operating as an agile startup within the larger ecosystem of Kambi Group ( https://kambi.com/ ). Our mission is to revolutionize the sports betting industry by leveraging cutting-edge technology and advanced analytics to enable the next generation of sports betting experiences. With a focus on both historical and real-time sports data, we're building systems that outperform the market and deliver value to our users.
To know more about us - https://tzeract.com/
Role Overview:
We're seeking a skilled Data Engineer with a passion for sports and a keen eye for statistics to join our dynamic team. This role is pivotal in designing, building, and maintaining our data infrastructure, ensuring the seamless flow and integrity of large-scale sports data sets. You will work closely with our data scientists and developers, turning complex data into actionable insights that drive our AI algorithms.
Responsibilities:
- Develop and maintain scalable and robust data pipelines for real-time and historical sports data ingestion, processing, and analysis using Python and AWS services.
- Implement and manage AWS cloud-based solutions to ensure high availability, performance, and security of our data infrastructure.
- Collaborate with data scientists to understand data requirements for AI model development and provide the necessary data engineering support.
- Apply your expertise in statistics and data analysis to enhance data quality and the effectiveness of our AI algorithms.
- Monitor data pipelines and systems performance, troubleshoot data issues, and implement optimizations.
- Stay updated with the latest technologies and methodologies in data engineering and sports analytics to continuously improve our data systems.
Qualifications:
- Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
- 3+ years of experience in data engineering, with a strong proficiency in Python.
- Extensive experience with AWS services (e.g., S3, EC2, RDS, Lambda, Redshift) and managing cloud-based data infrastructure.
- Solid understanding of data modeling, ETL processes, and data warehousing principles.
- Experience with real-time data processing and streaming technologies is highly desirable.
- A good eye for statistics and experience in statistical modeling or analysis.
- Passion for sports and sports data analysis is a big plus.
- Excellent problem-solving skills and the ability to work in a fast-paced startup environment.
Why Join Us:
- Be part of a cutting-edge project that's shaping the future of sports betting.
- Work in an environment that values innovation, collaboration, and a data-driven approach.
- Enjoy a competitive salary, comprehensive benefits, and flexible working arrangements.
- Engage in continuous learning and growth opportunities within an ambitious tech startup.
How to Apply:
Send your resume, a brief cover letter explaining why you're a good fit for this role, and any relevant portfolio links or GitHub repository to us. Please include "Data Engineer Application" in the subject line.
We're excited to hear from you and explore how you can contribute to our team!
#wearekambi
Kambi's ongoing commitment to Diversity and Inclusion in the workplace
If you require any reasonable adjustment during the recruitment process, please notify your recruiter, who will assist you however they can. Diversity and inclusion is at the heart of who we are and who we aim to be. While we are proud of the positive and inclusive company culture we have created, we know we can do so much more. Kambi constantly evolves its Diversity and Inclusion strategy to ensure it becomes an even more inclusive and positive place to work, with the core management team reaffirming its commitment to delivering on employee feedback.
Creating an inclusive environment
We believe Kambi's greatest strength is the collective talent of our employees. Kambi is committed to ensuring we create an inclusive work environment where everyone can feel valued, thrive and achieve their potential, regardless of who they are or what their background is. We know that it is only by having a balance of different voices, values and opinions that Kambi is able to be the market leader it is today.
#wearekambi
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Computer Science Data analysis Data pipelines Data quality Data Warehousing EC2 Engineering ETL GitHub Lambda Mathematics ML models Pipelines Python Redshift Security Statistical modeling Statistics Streaming
Perks/benefits: Career development Competitive pay Flex hours Startup environment
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