Scoreline is seeking a skilled Data Engineer to enhance and maintain the data infrastructure powering our AI-driven fantasy sports platform. This role involves designing efficient data pipelines, managing large-scale sports datasets, and ensuring seamless delivery of clean, reliable data for both machine learning models and front-end user experiences.
Key Responsibilities
* Design, develop, and maintain data pipelines for ingesting, transforming, and storing sports and fantasy data from multiple sources (e.g. OPTA, APIs, internal tools).
* Ensure data quality, reliability, and consistency across real-time and batch processing workflows.
* Collaborate with AI engineers to deliver structured, model-ready datasets for machine learning and forecasting systems.
* Build robust data services to support front-end features and personalised user insights.
* Optimise database performance and manage data storage solutions for scalability and cost-efficiency.
* Implement monitoring, alerting, and logging systems for proactive data quality assurance.
* Work with software engineers to ensure smooth integration of data flows across Scoreline’s platform.
* Document data models, workflows, and schemas for transparency and maintainability.
Requirements
* Degree, or equivalent experience, in Computer Science, Data Engineering, Software Engineering, or a related field.
* Proven experience designing and maintaining data pipelines and ETL processes.
* Strong proficiency in Python and working knowledge of JavaScript/TypeScript.
* Hands-on experience with cloud-based data storage and compute platforms (AWS, GCP, or Azure).
* Develop and manage data interfaces that retrieve and distribute information via both push and pull services, ensuring reliable, low-latency data flow across the platform.
* Familiarity with relational and non-relational databases
* Experience deploying and maintaining APIs and microservices for data delivery.
* Proficient with Git for version control and comfortable working in collaborative, agile environments.
* Excellent communication and problem-solving skills with strong attention to detail.
Preferred Skills
* Experience working with sports data (e.g. player statistics, fixtures, live match feeds).
* Familiarity with machine learning pipelines or MLOps principles.
* Experience with Google Cloud Platform (GCP) services and infrastructure.
* Familiarity with Pulumi for infrastructure as code and cloud resource management.
* Understanding of data visualisation and analytics tools.
* Knowledge of sports and fantasy game mechanics.
About Scoreline:
Scoreline is building the next generation of fantasy sports and sports gaming experiences. Our flagship product, Fantasy Football Hub, helps fantasy managers make smarter decisions using data, AI-powered tools, and clear, actionable insight.
We sit at the intersection of sports, data, and product design – turning complex models and real-time information into simple, intuitive experiences that fans use every week. We’re a fast-growing, profitable scale-up with ambitious plans: rebuilding our core experience as a truly native app, expanding into new sports, and doubling down on an AI-first product philosophy.
Why Join Us?
* Competitive Salary & Benefits: We offer a salary package based on experience, plus a range of benefits.
* Flexibility: Enjoy the freedom of working remotely with flexible hours.
* Innovative Environment: Work with a talented team in a fast-paced, dynamic industry.
* Modern Tech Stack: Work with cutting-edge technologies including React Native, Expo, Next.js, and Google Cloud Platform.