The team quietly building #1 products that make noise in the most competitive comparison markets in the world. iGaming. Sports Betting. Personal Finance.

From amplified career paths to supercharged online journeys for our people and our users, we deliver magic rooted in method. With over 500 Legends and counting, were helping companies turbocharge their brand growth in over 18 countries worldwide.If youre looking for a company with momentum and the opportunity to progress at pace, Legend has it.Location: London - Hybrid workingAs our

Head of Data Engineering

, you will lead and scale a data engineering department aligned with our business vision, integrating advanced data solutions into our white-labelled, multi-tenant platforms for Gaming, Sports, and Money. You''ll guide your teams in building scalable data capabilities for collection, processing, and modelling, supporting rapid brand expansion and enhancing customer experiences.As a leader, you''ll drive best practices and outcome-focused development, empowering teams to take full ownership of Legend''s data platform. You''ll also play a strategic role in shaping the future of Legend''s engineering organization, leading transformative changes with lasting impact.Lead and shape highly motivated data engineering teams, overseeing the end-to-end design and operation of large-scale cloud-based data infrastructure (Snowflake, AWS), ensuring high availability, security, and automation.Champion engineering excellence and foster collaboration with product engineers, data scientists, and stakeholders to optimise data models, improve governance and quality, and deliver new analytical products.Run mission-critical services alongside product teams, continuously improving data infrastructure performance, availability, and seamless integration with production systems.Provide leadership and guidance to set the data engineering function on a path of continuous improvement and growth, supporting the companys rapid expansion.Promote a data-driven approach, ensuring infrastructure and pipelines support decision-making and data-driven innovation across all business units.10+ years of experience in engineering management, leading and motivating teams responsible for distributed big data platforms, data pipelines, and reporting products, ideally in cloud environments (e.g. Snowflake, AWS).-6+ years of hands-on technical leadership in building large-scale, distributed data pipelines and reporting tools using big data technologies (e.g. Spark, Kafka, Hadoop), ensuring quality, scalability, and governance.- Strong expertise in balancing trade-offs within complex distributed systems, focusing on data quality, performance, reliability, availability, and security.- Proficient in software engineering with modern languages (e.g. Python, Scala, Java), applying best practices to create maintainable, scalable, and robust code.- A continuous learner, up-to-date with the latest technology trends, with the ability to assess new technologies pragmatically and with a long-term vision.

We believe different perspectives help us grow and achieve more. If you require any reasonable adjustments throughout your application process, please speak to your Talent Partner or contact the team ontalent@l1.