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

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

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.

Responsibilities

• 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 with 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. Own the 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.

Qualifications

• 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.

We are an equal opportunity employer and welcome applicants from all backgrounds.