Czym będziesz się zajmować? Key Responsibilities:Lead and mentor a team of data engineers while staying hands-on with data pipelines, architecture, and system optimization.Design and implement scalable data architecture.Build ETL data pipelines using Airflow, SnowFlake, DBT.Define and enforce data partitioning, retention, governance, and security best practices.Collaborate with stakeholders to align data practices with business goals and foster a data-driven culture.Proactively drive innovation in data engineering practices and system architecture.Translate business needs into technical specifications and document data architecture and pipelines.

Kogo poszukujemy? Required Skills and Experience:7+ years in data engineering, including 2+ years in a leadership or architecture role.Proficiency in Airflow, SnowFlake, DBT.Advanced proficiency in Python, Spark, SQL, and cloud services (AWS).Experience designing and deploying large-scale Data Warehouses.Strong data modeling experience.Experience working with third-party APIs and external data sources.Ability to optimize system performance, ETL workflows, and data storage solutions.Strong communicator, capable of bridging technical and non-technical teams.Preferred Skills:Familiarity with adtech ecosystems (DSPs, ad servers, etc).Exposure to Apache Druid, AWS Glue, PySpark (our current data stack, to be replaced).Knowledge of design patterns and best practices for data architectures.Experience defining data governance.Familiarity with CI/CD tools.