- Startsida
- ...
- Lediga jobb
- Information om jobb
Description & Requirements
Central Technology is the force multiplier, accelerating creative opportunity and progress at EA. We're a world-class community of technologists, innovators, strategists, and orchestrators transforming interactive entertainment. Together, we power the platforms, AI-driven tools, live services, and infrastructure that ensure global scale, secure player experiences, and unlock bold new possibilities.
The Data & Insights (D&I) team transforms data into actionable insights that power EA. We guide strategy and governance, build data and AI solutions, and ensure personalization experimentation and analytics; partnering across teams to improve decisions and create more meaningful player experiences.
Within the LCM (Lifecycle Management) Science team, we partner with game teams and marketing to understand player behavior and measure the effectiveness of our marketing efforts across the player lifecycle.
As a Data Engineer II, you will work on large-scale data systems that power insights into player engagement and marketing performance across some of EA's largest titles. You will collaborate closely with analysts, data scientists, and user acquisition teams to build reliable and scalable data solutions.
You will report to the Lead Data Engineer within the LCM Science team, under the Director of Data Science (Lifecycle Management).
You will work in a hybrid work model, with 3 days per week in one of four EA's Canada offices: Vancouver, Toronto, Montreal, or Edmonton.
Responsibilities
Work with analysts and stakeholders to understand requirements and translate them into technical specifications
Build and maintain efficient, scalable, and reliable ETL pipelines
Design and improve data models to support analytics and reporting
Ensure data quality, reliability, and consistency across data systems
Work with cloud data platforms and support dashboards used for business insights
Contribute to improvements in data architecture and engineering best practices
Qualifications
3–6+ years of experience in a data engineering or related role
Strong SQL skills and experience with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift)
5+ years of experience building and maintaining ETL pipelines
Proficiency in Python or a similar programming language
3+ years of experience with data modelling and data warehousing concepts
Experience with version control systems (e.g., GitHub, GitLab)
Experience with workflow orchestration tools (e.g., Airflow)
Experience working with large-scale or event-based datasets
Experience supporting analytics or marketing data use cases