Software Developer, Data Platform

We’re one of the world’s leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 10,000 people and serve over 120 million customers in 26 languages.

We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity. This offers employees a wealth of growth opportunities, giving them the opportunity to make a real impact in the world of online gambling. As a forward-thinking company, we’re breaking new ground in software innovation too, redefining what’s possible for our global worldwide.

Our focus on In-Play betting has solidified our market-leading position, featuring more than 1.38 million In-Play sporting events a year. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe (750,000), we handle over 6 million HTTP requests daily and process more than 1.5 million bets per hour at peak.

As a Software Developer, you will build and enhance the core infrastructure and services powering a global data ecosystem.

Operating within Platform Engineering, the Data Platform team provides real-time streaming, cloud-based databases, release management, distributed key-value storage and bespoke technical solutions. These platforms enable developers to access, process and manage information in real-time and at immense scale.

Focusing on real-time stream processing, cloud infrastructure management, system integration and release automation, you will develop, enhance and support an expanding, business-critical platform. This involves contributing to the management of a comprehensive suite of services, tools and platforms, utilising technologies such as Golang, Kafka, Flink, GCP, Spanner and BigQuery.

This role is eligible for inclusion in the Company’s hybrid work from home policy.

Requirements

Proficiency in Golang and/or Python.; Background in using Apache Kafka.; Familiarity with high-volume transactional environments.; Track record of developing low-latency, highly available and scalable solutions.; Knowledge of dashboards and good practices around the monitoring stack.; Capability to manage multiple projects with independent deadlines and deliverables.; Competence in working with Linux.