• Own the systems that turn raw data into trusted insights across the company • Partner closely with Product, Finance, Sales, and Customer Success to ensure our data platform scales with the business and directly supports decision-making • Design, build, and maintain trusted, scalable data models that power reporting, analytics, and product insights • Own the evolution of our data platform, unifying analytics tooling and fully replacing legacy admin and ad-hoc reporting • Develop and maintain robust ELT pipelines, transformations, and data stores that serve as the source of truth for billing, revenue, usage, and customer success workflows • Apply strong data modeling and warehousing principles to create analytics-optimized tables that are well-documented and easy to use • Partner with stakeholders to understand business questions, translate them into data models, and educate teams on how to operationalize analytics effectively • Proactively identify opportunities to improve reporting or data reliability and build proof-of-concepts to validate solutions with the business • Write high-quality, secure, maintainable, and testable production code, following best practices and thoughtful tradeoffs • Contribute to a culture of craftsmanship through code reviews, documentation, and continuous improvement • Balance speed and quality, delivering quickly while building systems that scale with the company • Adapt to a wide range of challenges, learning new tools and skills as needed in a fast-moving environment

• Building and maintaining data pipelines and workflows using Cloud Composer • Designing and implementing data models, database schemas, and ETL processes using core GCP data services like BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Functions • Collaborating with cross-functional teams to understand business requirements and develop solutions • Ensuring data quality and reliability by monitoring and debugging data pipelines • Maintaining and improving our existing data infrastructure and processes • Staying up-to-date with industry trends and best practices in data engineering.

• architect and develop scalable data pipelines and models using Snowflake and dbt • design and operate orchestration using Airflow, Dagster, Prefect, or similar • define modeling standards, storage patterns, and performance strategies • collaborate on backend APIs, services, integration layers, and limited frontend interfaces supporting data-driven features • contribute to CI/CD, environment management, and automated pipeline delivery • implement quality checks, lineage, SLAs, and observability • mentor engineers and drive architectural best practices • participate in system design and multi-team architectural planning

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Design, build, and manage advanced data systems that turn raw player data into actionable insights, powering personalized gaming experiences, fraud detection, and revenue optimization for our platform. - Develop batch and real-time data pipelines on our GCP platform - Develop APIs to share our data with other teams and consumers - Build CI/CD pipelines for automated deployments - Develop Terraform IAC for deploying our team's core infrastructure - Use Datastream to ingest CDC data to our data lake - Use Dataform and dbt to build a medallion data architecture - Optimize our BigQuery and ClickHouse data models - Build Airflow DAG pipelines for data imports and exports - Implement monitoring and alerting policies for data accuracy, consistency, and integrity across platforms - Uphold GDPR/CCPA compliance and data governance standards Qualifications - Good Bash, Git, SQL and Python - these are a must - Terraform IAC experience - Docker and K8s - Strong GCP experience (BigQuery, Dataform, Airflow, Datastream); API development and data modelling expertise - Real-time processing - Kafka, Pyspark, Flink - Proven ETL/CI-CD skills - Bachelor's in Computer Science, Data Science, Information Systems, or equivalent - Google Cloud certifications (Professional Data Engineer, Cloud Architect) a plus - Passion for gaming and collaborative mindset Benefits - Enjoy autonomy with cutting-edge GCP tech - Mentorship from a global team - Real impact on products - Flexible remote options - Professional development budgets - A culture celebrating diverse ideas Equal Opportunities We hire for skills, drive, and fresh perspectives—regardless of background, gender, age, race, ethnicity, disability, sexual orientation, religion, neurodiversity, or career journey. Diverse teams drive our success; bring your unique view to thrive here.