Stage Data Engineer
Sky Milan, Lombardy, Italy
Broadcast Media Production and Distribution · 10,001+ employees
About the role
You will support the development and maintenance of batch and real-time data pipelines while collaborating with cross-functional teams to deliver data solutions. Additionally, you will assist in improving data quality through testing, validation, and exploratory investigations.
What they look for
Requirements
Candidates must be pursuing or have completed a BSc in Computer Science, Mathematics, Engineering, or a related quantitative field. Foundational knowledge of Python and SQL is required, along with strong analytical and problem-solving skills.
Full description
Our Data Engineering team builds highly intuitive data solutions that underpin business functions across Sales, Marketing, Finance and Operations. We are looking for a Data Engineer Intern who are passionate about learning how to build structured, high-quality data pipelines. You will work closely with experienced data engineers, gaining exposure to Python, SQL, and Google Cloud Platform (GCP) tools such as BigQuery and managed Airflow, while learning how large-scale data systems operate in a modern digital environment.
What you’ll do
Support the development and maintenance of batch and real-time data processing pipelines using Python, SQL, and cloud technologies Collaborate with data engineers, data scientists, software engineers to understand data requirements and assist in delivering meaningful data solutions Participate in improving data quality by assisting with testing, validation, documentation, and basic performance checks Help conduct exploratory investigations and root-cause analyses on data issues under the guidance of senior team members Learn and apply software engineering best practices, including version control, code reviews, and continuous integration workflows
Who you are
You have a strong interest in software engineering and data technologies, and you are motivated to learn how modern data infrastructure is designed and operated You enjoy problem-solving, working with data, and collaborating with cross-functional teams You are curious, adaptable, and eager to learn new tools, frameworks, and engineering practices You value reliability, maintainability, and quality in your work
Must have
Currently pursuing or recently completed a BSc in Computer Science, Mathematics, Engineering, or a related quantitative field Foundational knowledge of Python and SQL (coursework or personal projects acceptable) Basic understanding of databases and data processing concepts Strong analytical and problem-solving skills Proficiency in English
Nice to have
Exposure to cloud platforms such as GCP, AWS, or Azure Experience with data processing frameworks (e.g., Apache Beam, Apache Spark) from coursework or personal experimentation Interest in large-scale data systems and modern pipeline architectures.
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