Legends
1001 - 5000 employees
Founded 2008
âš˝ Sports
Sports • Entertainment • Hospitality
Legends is a company that defines excellence in sports and entertainment. It specializes in creating unparalleled experiences through innovative solutions, focusing on areas such as planning, sales, partnerships, hospitality, and merchandise. Legends collaborates with partners like ASM Global to enhance various experiences, such as retail and stadium consulting. Their services align with the sports and entertainment sectors, and they prioritize crafting unique, quality-driven solutions for their clients.
Data Engineer
Job not on LinkedIn
đź•’ September 19, 2025
🏢🏡 London – Hybrid
⏰ Full Time
🟡 Mid-level
đźź Senior
đźš° Data Engineer
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Legends
1001 - 5000 employees
Founded 2008
âš˝ Sports
Sports • Entertainment • Hospitality
Legends is a company that defines excellence in sports and entertainment. It specializes in creating unparalleled experiences through innovative solutions, focusing on areas such as planning, sales, partnerships, hospitality, and merchandise. Legends collaborates with partners like ASM Global to enhance various experiences, such as retail and stadium consulting. Their services align with the sports and entertainment sectors, and they prioritize crafting unique, quality-driven solutions for their clients.
đź“‹ Description
• Report directly to the Head of Data Engineering. • Design, build, and maintain ETL/ELT pipelines and batch/streaming workflows. • Integrate data from external APIs and internal systems into Snowflake and downstream tools. • Own critical parts of our Airflow-based orchestration layer and Kafka-based event streams. • Ensure data quality, reliability, and observability across our pipelines and platforms. • Build shared data tools and frameworks to support analytics and reporting use cases. • Partner closely with analysts, product managers, and other engineers to support data-driven decisions. • Design systems that move data reliably and efficiently and ensure internal data products are accurate, trusted, and well-governed.
🎯 Requirements
• Strong experience as a Data Engineer or Software Engineer working on data infrastructure. • Strong Python skills and hands-on experience with SQL and Snowflake. • Experience with modern orchestration tools like Airflow and data streaming platforms like Kafka. • Understanding of data modeling, governance, and performance tuning in warehouse environments. • Ability to work independently and prioritize across multiple stakeholders and systems. • Comfort operating in a cloud-native environment (e.g., AWS, Terraform, Docker).
🏖️ Benefits
• Super smart colleagues to work alongside and learn from. • Engaging development opportunities at all levels. • Tailored flexibility for your work-life balance. • Annual discretionary bonus to reward your efforts. • Paid annual leave PLUS a well-deserved break to recharge your batteries during the festive season! Our offices are closed between Christmas and New Year's, allowing you to enjoy downtime without dipping into your annual allowance. • Long term incentive plan so we can all share in the growth and success of Legend. • Exciting global Legend events, where we unite in person to ignite our shared passion and unveil the exciting strategies for the year ahead! • Extensive array of benefits and perks; for country specific benefits please reach out to your Talent Partner. • Reasonable adjustments available throughout the application process (contact [email protected]).
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