Our client is one of the largest and most influential gaming companies in the world, known for developing some of the most played competitive titles globally. With a strong presence in eSports and entertainment, they have built a massive player community and continue to set the standard for how games are made and supported.
Our client's Data Engineering team works at an impressive scale, processing petabytes of data to build products that directly shape how millions of players experience their games. Turning this data into meaningful insights is a complex challenge, and the engineering team meets it by staying deeply player-focused and collaborating across diverse teams to improve the lives of millions of players worldwide.
As a Staff Data Engineer within the Product Insights team supporting Publishing and eSports, you will act as a hands-on technical lead to design, build, and maintain scalable data pipelines and models that power critical data products, including centralized player data models, esports viewership analytics, player support insights, and publishing activity data systems. These systems support understanding of player onboarding funnels, engagement patterns, support efficiency, and content effectiveness. You will collaborate with product managers, analysts, and engineers to ensure the data infrastructure is reliable, performant, and directly tied to delivering better player experiences.
Actively design, build, and optimize scalable ETL pipelines for structured and semi-structured data supporting Insights use cases, growth metrics, pubsports, and other out-of-game data sets.
Design and implement complex data models using industry best practices that capture a complete ecosystem view of in- and out-of-game experiences, while ensuring accuracy, scalability, and long-term usability.
Architect and implement robust, maintainable, and high-performance data solutions.
Automate workflows to reduce manual intervention and enhance data processing efficiency, including automation for content, growth, and pubsports areas of coverage.
Mentor data engineers across all levels, through code reviews and technical guidance, setting best practices and fostering technical growth.
Optimize query performance and resolve pipeline bottlenecks to improve data accessibility.
Evaluate and prototype new tools, frameworks, and methodologies to advance data engineering capabilities.
Support cost optimization by ensuring scalable and efficient data solutions.
Ensure data quality, governance, and compliance with regulatory standards (e.g., GDPR, CCPA).
Contribute to the Data Engineering team's discipline by shaping infrastructure, craft standards, tooling, and organizational best practices.
Bachelor's or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
6+ years experience in data engineering or a related field.
Expert-level hands-on coding skills, specifically in Python, SQL, and tools like Airflow and dbt.
Proficiency in cloud infrastructure (AWS or GCP) and Databricks.
Expertise in designing efficient and scalable data models with large data sets across multiple teams and in collaboration with insights or data stakeholders.
Demonstrated ability to operate as Lead Individual Contributor and work cross-functionally with engineering, analytics, and product teams.
Proven experience mentoring and guiding other engineers on technical implementation and craft excellence
Digital-First Approach: Great talent knows no borders! You can work from wherever you are — we hire and collaborate with professionals worldwide.
Remote Work Model: Balance your professional and personal life with our flexible working conditions, empowering you to deliver your best from anywhere.
Exciting Projects: Dive into impactful projects across industries that challenge and spark creativity.
Boost Your Expertise: Grow your career with continuous learning, development opportunities, and hands-on experience.
Join the Best Team Ever: Collaborate with our diverse and cross-cultural team of passionate technologists and creative thinkers.
We strive to make our hiring process smooth and transparent to find the perfect match for both sides. Steps may differ depending on the role, but here’s what to expect:
Initial Interview: If your background fits the role, we’ll invite you for an interview with a Talent Acquisition Specialist.
Technical Interview: Depending on the position, you may complete a technical assessment or test task.
Final Decision: After all steps, we’ll get back to you with the result and next steps.
