Staff Data Engineer (Technology Strategy and Ops - Gaming Industry)

PROJECT OVERVIEW

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 Technology Strategy \& Ops team supporting Central Technology, you will act as a hands\-on technical lead to design, build, and maintain scalable data pipelines and models that power critical data products and processes, including technology cost and usage dashboards, customer monthly business reviews, cost optimization efforts and monthly financial technology usage attributions. All of this support the efficient use of technology, while providing optimal player experiences. You will collaborate with technologists, strategists and finance specialists to ensure our data infrastructure is reliable and performant.

IN THIS ROLE, YOU WILL

• Actively design, build, and optimize scalable ETL pipelines for structured and semi\-structured data supporting Insights and Finance use cases that analyze technology usage and costs (e.g. AWS CUR).


• Design and implement complex data models using industry best practices that capture a complete view of technology usage and costs, while ensuring accuracy, scalability, and long\-term usability.


• Partner closely with internal stakeholders to understand their needs and craft solutions that drive their ultimate outcomes.


• Architect and implement robust, maintainable, and high\-performance data solutions.


• Automate workflows to reduce manual intervention and enhance data processing efficiency, including automation for finance processes.


• Mentor junior data engineers through code reviews and technical guidance, setting best practices and fostering technical growth.


• Optimize query performance and resolve pipeline bottlenecks to improve data accessibility.


• Ensure data quality and governance.

IF YOU ARE

• 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, Databricks and dbt.


• 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.


• Demonstrated experience mentoring and developing less senior engineers.

NICE TO HAVE

• Experience processing cloud billing data (e.g. AWS CUR, Azure Cost Management) or complex financial datasets.


• Proficiency in cloud infrastructure (AWS or GCP).

AS AN OPINOV8R, YOU WILL HAVE

• 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.

HOW’S THE HIRING PROCESS GOING

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.

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