Overview 

Stats Perform is the market leader in sports tech. We provide the most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting.   

Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around the world, access to the very best data, content, and insights.  In turn, improving how sports fans interact with their favorite sports teams and competitions. 

 

How do they use it? 

Media outlets add a little magic to their coverage with our stats and graphics packages.  Sportsbooks can offer better predictions and more accurate odds.  The world's top coaches are known to use our data to make critical team decisions.  Sports commentators can engage with fans on a deeper level, using our stories and insights. 

Anywhere you find sport, Stats Perform is there.  However, data and tech are only half of the package. We need great people to fuel the engine. 

We succeeded thanks to a team of amazing people. They spend their days collecting, analyzing, and interpreting data from a wide range of live sporting events. If you combine this real-time data with our 40-year-old archives, elite journalists, camera operators, copywriters, the latest in AI wizardry, and a host of 'behind the scenes' support staff, you've got all the ingredients to make it a magical experience! 

Our teams of technical experts specialize in harnessing live sporting data, using advanced cloud technologies, Java, JavaScript and Python. It is these tech teams that enable us to extract patterns through AI and Machine Learning and deliver our insights via APIs. In short, they turn complex data into magical experiences with cutting-edge technology.  

 

We are looking for a Software Engineer for our Data Engineering Platform team to help extend functionality our Gold Standard Data Platform. The GSDP is our strategic platform for internal data distribution amongst our product suites. The GSDP ingests data from across wide range of sources and sports within Stats Perform, processes it, and then makes it available to our products through various APIs and event streams. Our data platform follows data mesh principles which is very modern approach used by increasing number of industry leaders. Machine learning and heavy AI workloads are one of the most important use-cases for our platform.

As a member of the Opta Search Backend squad you will be tasked to develop a new data engineering pipeline focused on processing large sports data sets from both historical databases as well as live data streams within modern analytical data store as well as exposing the data via GraphQL API to front-end of actively used product.

Our data platform is fully cloud native running on Amazon Web Services using wide range of bleeding edge technologies. The most important pieces of the tech stack are Starrocks data warehouse, Kafka data streams, Kubernetes and serverless lambda function based orchestration, ELK stack and Prometheus + Grafana monitoring systems. The language of choice is Python and partially NodeJs. Our team fully owns large portion of these technologies and solves problems end to end from infrastructure design to business logic implementation.

As a Software Engineer you will be expected to work independently, help solve technical challenges, design pieces of the infrastructure and be an example in following best practices.

 

What we need from you... 

Build highly scalable distributed data pipelines that are resilient, scalable and observable Build performant GraphQl based data serving solution

 

What skills & experience you’ll bring to us

We are looking for a person who is an experienced professional engineer who is able to design and build data processing pipelines. Experience with AWS and data platforms is highly beneficial as well as passive knowledge of NodeJs.   

 

Technical Experience 

Production level experience with Python Experience with NodeJs (can be passive knowledge but ability to read JS/TS is a must) Experience building services and tools for data ecosystems within cloud environment.  Technical hands-on expertise with building enterprise grade data pipelines.  Experience with ETL systems, SQL, and data modelling. Understanding of CI/CD pipelines in cloud-based environments, e.g. Terraform, Jenkins, Github.

 

Experience with all of the below technologies is not strictly required but each familiar technology is very beneficial:

AWS services - S3, SQS, Elasticache (Redis), MSK (Kafka). Kubernetes Starrocks DB GraphQL Kibana, Grafana

General requirements 

Bachelor’s degree in Computer Science or similar.  Verbal/written communication and presentation skills, including an ability to effectively communicate with both business and technical teams, and both internal and external stakeholders.  An open-minded, structured thinker, a team player and good teammate.  Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritize an approach for maximum impact.  

 

Why work at Stats Perform? 

We love sports, but we love diverse thinking more! 

We know that diversity brings creativity, so we invite people from all backgrounds to join us.  At Stats Perform you can make a difference, by using your skills and experience every day, you'll feel valued and respected for your contribution.   

 

We take care of our colleagues 

We like happy and healthy colleagues. You will benefit from things like Mental Health Days Off, ‘No Meeting Fridays,’ and flexible working schedules. 

 

We pull together to build a better workplace and world for all. 

We encourage employees to take part in charitable activities, utilize their 2 days of Volunteering Time Off, support our environmental efforts, and be actively involved in Employee Resource Groups.  

 

Diversity, Equity, and Inclusion at Stats Perform 

By joining Stats Perform, you'll be part of a team that celebrates diversity. A team that is dedicated to creating an inclusive atmosphere where everyone feels valued and welcome. All employees are collectively responsible for developing and maintaining an inclusive environment. That is why our Diversity, Equity, and Inclusion goals underpin our core values.  

With increased diversity comes increased innovation and creativity. Ensuring we're best placed to serve our clients and communities. Stats Perform is committed to seeking diversity, equity, and inclusion in all we do.