Data Engineer, Data Products: Build Reliable Pipelines

Infineon Technologies; Maia; Presencial; EUR 40 000 - 60 000; Tempo integral

Resumo da oferta

Infineon Technologies is seeking a Data Engineer in Maia, Portugal, to design and operate platforms that enhance customer insights. You will build and maintain reliable data pipelines, develop internal web applications for data collection, and ensure comprehensive data documentation.

The ideal candidate has at least 2 years of experience in data engineering, strong SQL and Python/PySpark skills, and a good grasp of ETL processes. The role offers an opportunity to work collaboratively across teams to deliver actionable data products.

Qualificações

• At least 2 years of hands-on experience in data engineering or analytics engineering.
• Proven experience building and optimizing data pipelines on large datasets.
• Sound understanding of dimensional modelling.

Responsabilidades

• Build robust, well-tested pipelines for data ingestion and transformation.
• Design and operationalize the data quality framework with automated tests.
• Develop lightweight internal web apps for data collection and management.
• Maintain comprehensive documentation for models and transformations.
• Collaborate with data product owners, analysts, and IT teams.

Conhecimentos

SQL

Python/PySpark

Data modelling

Collaboration skills

ETL/ELT pipelines

Orchestration tools

Formação académica

Bachelor’s or Master’s degree in relevant field

Ferramentas

Apache Airflow

dbt

Mage AI

Prefect

Descrição da oferta de emprego

Infineon Technologies is seeking a Data Engineer in Maia, Portugal, to design and operate platforms that enhance customer insights. You will build and maintain reliable data pipelines, develop internal web applications for data collection, and ensure comprehensive data documentation.

The ideal candidate has at least 2 years of experience in data engineering, strong SQL and Python/PySpark skills, and a good grasp of ETL processes. The role offers an opportunity to work collaboratively across teams to deliver actionable data products.