Applications Dev & Test - AI Data Engineer 3
Role details
Job location
Tech stack
Job description
Develop subject matter expertise in business and data domains to collaborate with stakeholders and assist with data access and usability. Identify and analyze multi-structured datasets to select accurate data that meets analytics requirements, documenting sources and definitions. Design data models, architect dataflows, and create abstractions that scale for analytics and machine learning and evolve with changing needs. Build and maintain automated data pipelines using modern frameworks to transform logs and event streaming data into clean, enriched information. Advance infrastructure by developing frameworks, reusable components, and capabilities that improve reliability and delivery speed. Develop secure, performant enterprise-grade data-serving API endpoints and underlying data products and analytics solutions.
Requirements
We are seeking a Senior Analytics Engineer to join our dynamic team supporting a leading gaming franchise. The ideal candidate will have strong experience in building data pipelines, designing scalable data models, and developing data-serving APIs on cloud platforms and a proven ability to deliver analytics and data products that enable measurable business outcomes across creator programs, product, and marketing.
Top 3 must have skills:
Python 4-5 years
Data modeling 3 years
Cloud experience 2 years (Azure preferred), Bachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, or related field, or equivalent experience. 2+ years as an Analytics Engineer or Data Engineer with regular business collaboration on large enterprise systems. Experience building, maintaining, and optimizing enterprise-scale pipelines for logs and event streams on cloud data platforms using tools such as Spark and Airflow. Azure experience preferred. Proficiency with SQL and advanced Python skills for data transformation and automation. Backend development experience building secure and performant enterprise-grade APIs. Azure experience preferred. Preferred Skills:
Demonstrated ability to deliver data products and analytics that drive business impact and enable decision making. Strong critical thinking, problem solving, and data exploration skills to identify, select, and prepare data for analytics. Business acumen with working knowledge of DevOps and DataOps practices. Familiarity with the video game domain as a player or industry professional.
Benefits & conditions
Competitive compensation and benefits Opportunities for growth with global clients A supportive, inclusive culture that values innovation and people Exposure to cutting-edge technologies and projects About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status.
