Data Engineering Intern: Build Pipelines & Dashboards

Infineon Technologies AG; Porto; Sur place; EUR 8 900 - 13 000; Temps partiel

Résumé du poste

Infineon Technologies AG in Porto, Portugal, offers a 12-month Data Products & AI internship. You will work on data solutions for Sales, Marketing & Distribution, building pipelines, validating data, and creating internal tools.

Join a team of engineers and analysts to turn requirements into practical data solutions using SQL and Python, while collaborating across functions and learning in a global semiconductor leader.

Qualifications

• Bachelor's degree in CS, Data Engineering, IS, Engineering, or related field.
• Basic SQL understanding and Python experience from coursework or internship.
• Interest in data pipelines, data modelling and data quality practices.
• Clear communication and collaborative mindset across teams.
• Nice to have exposure to PySpark, orchestration tools, dimensional modelling or web development.
• Good command of English.

Responsabilités

• Support data pipelines: develop, test, maintain ingestion/transformation pipelines and monitor runs.
• Contribute to data quality: run data checks, investigate results, support validation processes.
• Help build internal data-collection tools: contribute to forms, inputs, or dashboards for business users.
• Document data products: keep dataset descriptions, transformations, definitions, and lineage up to date.
• Collaborate and learn: work with engineers, analysts, business stakeholders, and IT to translate requirements into data solutions.

Connaissances

SQL

Python

Data engineering

English

Formation

Bachelor's degree in Computer Science or related field

Outils

PySpark

Airflow

Description du poste

Infineon Technologies AG in Porto, Portugal, offers a 12-month Data Products & AI internship. You will work on data solutions for Sales, Marketing & Distribution, building pipelines, validating data, and creating internal tools.

Join a team of engineers and analysts to turn requirements into practical data solutions using SQL and Python, while collaborating across functions and learning in a global semiconductor leader.