Were Legend. The team quietly building #1 products that make noise in the most competitive comparison markets in the world. iGaming. Sports Betting. Personal Finance.
We exist to build better experiences. 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.
Unlock the Legend in you.
Location: Remote within Poland
As 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 whitelabelled multitenant platforms for Gaming Sports and Money. Youll guide your teams in building scalable data capabilities for collection processing and modelling supporting rapid brand expansion and enhancing customer experiences.
As a leader youll drive best practices and outcomefocused development empowering teams to take full ownership of Legends data platform. Youll also play a strategic role in shaping the future of Legends engineering organization leading transformative changes with lasting impact.
Your Impact:
Lead and shape highly motivated data engineering teams overseeing the endtoend design and operation of largescale cloudbased 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 missioncritical services alongside product teams continuously improving data infrastructure performance availability and seamless integration with production systems.
Establish and drive best practices for a culture of collaboration and operational excellence focusing on incident resolution fault tolerance and selfhealing 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 datadriven approach ensuring infrastructure and pipelines support decisionmaking and datadriven innovation across all business units.
What Youll Bring:
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 handson technical leadership in building largescale distributed data pipelines and reporting tools using big data technologies (e.g. Spark Kafka Hadoop) ensuring quality scalability and governance.
Strong expertise in balancing tradeoffs 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 uptodate with the latest technology trends with the ability to assess new technologies pragmatically and with a longterm vision.
Legend is an Equal Opportunity Employer but thats just the start. We believe different perspectives help us grow and achieve more. Thats why were dedicated to hiring and developing the most talented and diverse team which includes individuals with different backgrounds abilities identities and experiences. If you require any reasonable adjustments throughout your application process please speak to your Talent Partner or contact the team and well do all we can to support you.
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