Data Engineer – Data Products (f/m/div)

Infineon Technologies AG; Porto; Presencial; EUR 35 000 - 55 000; Tempo integral

Resumo da oferta

Infineon Technologies AG is looking for a Data Engineer to join their Digital & Data team in Porto, Portugal. In this role, you will build and maintain data pipelines, ensuring the quality and reliability of data products. You will develop web apps for data collection and collaborate with cross-functional teams to meet business needs.

The ideal candidate will have a Bachelor’s or Master’s degree in a relevant field and at least 2 years of experience in data engineering, solid SQL and Python skills, and a strong understanding of data modeling.

Qualificações

• At least 2 years of hands-on experience in data engineering or analytics engineering.
• Proven experience building and maintaining ETL/ELT pipelines in production.
• Good communication and collaboration skills.

Responsabilidades

• Build and maintain pipelines ensuring reliable ingestion and transformation.
• Build out the data quality framework with automated tests and validation checks.
• Develop small data-collection web apps for business users.

Conhecimentos

SQL

Python

PySpark

Apache Airflow

ETL/ELT pipelines

Data modelling

Formação académica

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems or related field

Ferramentas

dbt

Mage AI

Prefect

Descrição da oferta de emprego

WeAreIn for data that powers standout customer experiences.

Do you want to build reliable, scalable data products that connect journeys across every channel?

As a Data Engineer – Data Products on our Digital & Data team, you will design and operate platforms that make customer insights accurate, timely, and actionable. Are you in?

Your Role

Key responsibilities in your new role:

• Build and maintain pipelines: Build robust, well‑tested ingestion and transformation pipelines; ensure they run reliably on a regular release cadence with clear ownership and monitoring
• Build out the data quality framework: Help design and operationalize our DQ approach automated tests, validation checks, and Write‑Audit‑Publish gates on the gold layer plus the monitoring and alerting that catches issues before consumers do
• Develop small data‑collection web apps: Build lightweight internal web apps (e.g. forms, input tools, dashboards) that let business users submit data which feeds directly into our data products. You'll own this simple end‑to‑end frontend, backend, and the pipeline behind them
• Data documentation and lineage: Maintain comprehensive docs for models, transformations, and business definitions to ensure data products are transparent, trustworthy, and ready for self‑service consumption
• Collaborate across functions: Work closely with data product owners, analysts, business stakeholders and IT/platform teams to translate business needs into well‑modelled, trustworthy data

Your Profile

Qualifications and skills to help you succeed:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, Electrical/Computer Engineering, or a related field
• At least 2 years of hands‑on experience in data engineering or analytics engineering
• Solid SQL and Python/PySpark skills, with proven experience building and optimizing data pipelines and transformations on large datasets
• Experience with orchestration tools like Apache Airflow, dbt, Mage AI, Prefect, etc
• Proven experience building and maintaining ETL/ELT pipelines in production
• Sound understanding of data modelling – especially dimensional modelling (fact and dimension tables); comfort building simple web apps – enough to ship an internal data‑collection tool independently
• Good communication and collaboration skills to work with Data Product Owners, IT, and Data Quality roles in a matrix organization

Contact

Mariana Pinho, LinkedIn

Equal Opportunity and Diversity Statement

We embrace diversity and inclusion and are committed to equal opportunities for all applicants and employees.