Semi Senior Data Engineer

Design, build, and maintain dbt models that integrate marketing and advertising data across DSPs, ad servers, and third-party platforms. Develop and maintain business logic for cross-platform metric allocation to support monthly reporting and incrementality/attribution use cases. Build and maintain ingestion pipelines from diverse external sources, ensuring deduplication and data quality. Own and evolve GCP cloud infrastructure using Terraform, following established modular patterns and naming conventions.

Bachelor’s or Master’s degree in informative engineering, computer science, applied mathematics, engineering, or a related quantitative field—or equivalent work experience. 2-3 years of experience with analytics, marketing analytics, and analytical techniques. Hands-on experience with SQL and Python, along with experience using cloud products. Familiarity with Agile methodologies and applying DataOps practices.