Data Engineer

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.