Digital Data Engineer
Pubblicato il 03-09-2026 - Moncler in Italia
For our Headquarter offices in Milan, we are looking for a Digital Data Engineer to join ourDigital Data Intelligence team.Your Impact:The Digital Data Engineer reporting to the Global Data & Digital Intelligence Senior Manager will be responsible for designing, implementing and maintaining all the digital data pipelines within Google Cloud Platform, for all the Countries of Moncler Group.Activities:Design digital data flows according to digital business reporting requirements;Implement data ingestion pipelines to import digital data from external/internal data sources into BigQuery;Implement data transformation workflows to ensure data quality, to normalize and standardize data, to aggregate it;Write SQL queries to transform data according to digital business logics;Maintain data ingestion pipelines and transformation workflows coordinating the data engineering support team (2x people,
external); Admin all the Google Cloud Platform projects related to data ingestion and transformation paying attention to cost optimization; What We Are Looking For:Main Qualifications:Degree in engineering or computer science; 3-5 years of Python development experience;Hands-on experience on implementing DAG with Apache Airflow is a must; Hands-on experience on writing SQL queries;Experience working with GIT in a collaborative team setting;Google Cloud Platform certification preferred;Proficiency in English;We would appreciate a person that isReally passionate about python coding and coding best practices such as CI/CD, code linting, code documentation;Strong in communication, able to explain complex technical concepts to a non-technical audience; How You Can Apply You can apply through our Careers Website by following the link in the job posting."Moncler is an equal opportunity employer, which means we do not discriminate on the basis of Ethnic origin, Skin color, Religion, Civil status, Age, Nationality, Ancestry, any form of disability or neurodivergence, medical condition, Gender