LSports is a world-leading sports data provider, trusted by sportsbooks worldwide to deliver real-time data with unmatched accuracy and reliability. With technology that drives smarter trading and deeper engagement, we empower bookmakers to grow, innovate, and stay ahead of the game.
If you’re passionate about sports and technology and want to make your mark in a fast-moving industry, don't miss this chance! Step onto the field with us and help build the future of sports data – We are looking for a talented Data Engineer – AI & Agent Readiness.
What You’ll Do:
- Build, maintain, and optimize robust data pipelines and infrastructure to support real-time and batch data processing
- Explore and assess existing structured and unstructured data across the company to evaluate its readiness for AI-driven use cases
- Collaborate with product and AI stakeholders to understand business goals and translate them into data preparation strategies
- Identify key entities, relationships, enrichment needs, and gaps in the data to enable agent-based automation
- Create documentation and recommendations to guide AI engineers and product teams in data consumption
- Support seamless data integration and transformation to enable Agent-to-Agent (A2A) communication across smart products
- Stay up to date with emerging tools in data engineering and AI to continuously improve infrastructure and capabilities
- 3+ years of hands-on experience as a Data Engineer, Data Platform Engineer, or similar role
- 2+ years of experience working with Python (e.g., pandas, PySpark, data manipulation)
- 3+ years of experience writing complex SQL queries and managing analytical data stores
- Proven experience with data exploration, data mapping, and value projection — especially in the context of AI/ML product needs
- Experience building and optimizing ETL/ELT pipelines using tools like AWS Glue, Apache Airflow, Prefect, or similar
- Familiarity with big data technologies such as Apache Spark, Databricks, Iceberg, ClickHouse, or equivalents
- Experience working in modern CI/CD environments, with infrastructure-as-code, Git workflows, and version-controlled data flows
- Ability to clearly communicate findings, recommendations, and data limitations to technical and non-technical stakeholders
Bonus Points if you have:
- Exposure to LLMs, AI Agents, or related concepts (e.g., embeddings, vector databases, knowledge graphs)
- Experience working with Kafka or similar streaming technologies
- Background as a Data Analyst or BI Developer, with strong analytical thinking
- Experience in high-frequency transactional or real-time product environments (e.g., sports data, finance, betting)
We’re honest with each other and open to new ideas. We challenge ourselves to excel, knowing that good relationships never come at the expense of professionalism. We’re dynamic, always growing and improving to stay on top.
Come join a team that’s all about winning together, with integrity and heart.
- Health insurance
- Professional development with skills-based courses & Udemy account
- Hybrid work model (Wallaballa)
- Cibus
- Birthday day off
- Access to ‘Group Hug’ platform
- Fun company and team social events
- Dog-friendly policy
- Kids Summer Camp