Digital Data Engineer

Experteer Italy; Milano; In loco; EUR 45.000 - 75.000; Tempo pieno

Descrizione del lavoro

An established industry player is seeking a Digital Data Engineer to join their innovative Digital Data Intelligence team in Milan. This role involves designing and maintaining digital data pipelines within Google Cloud Platform, ensuring data quality and optimizing costs. The ideal candidate will have a strong background in Python development, experience with Apache Airflow, and the ability to communicate complex concepts clearly. Join a forward-thinking company that values diversity and fosters an inclusive environment where your passion for coding and data engineering can thrive.

Competenze

• 3-5 years of experience in Python development.
• Hands-on experience with Apache Airflow and SQL queries.

Mansioni

• Design and implement digital data flows for reporting requirements.
• Maintain data ingestion pipelines and transformation workflows.

Conoscenze

Python

SQL

Apache Airflow

GIT

Data Engineering

Google Cloud Platform

CI/CD

Communication Skills

Formazione

Degree in Engineering or Computer Science

Strumenti

Google Cloud Platform

BigQuery

Apache Airflow

Descrizione del lavoro

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);
• Adminall 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 is

• Really 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, Gender Identity or Expression, Sexual Orientation. We celebrate diversity and are committed to creating an inclusive environment for all employees.”