Data Engineer

To join our Sonae Data Team at the Holding Office, we are currently looking for a:

Data Engineer

Sonae Data is a brand-new unit within the Sonae group, bringing together data from across the group’s diverse businesses—think supermarkets, electronics, financial services, telecom, shopping centers, and digital platforms. The goal? To turn this data into valuable products and services, first for the group’s own companies, and later for the broader digital and AI-driven market.

We’re looking for a Data Engineer to help bring this vision to life. In this role, you’ll be responsible for building robust, reliable, and scalable data pipelines that serve as the backbone for analytics and AI-driven products. Working closely with analytics teams and business stakeholders, you’ll ensure data is accessible, trustworthy, and actionable — transforming complexity into clarity and enabling smarter decisions across the organization.

Core Responsibilities:

· Work closely with business analytics teams to identify goals and data-related needs;

· Build data pipelines that empower analytics teams with optimized data models to address their business challenges;

· Analyze and structure large volumes of raw data in a clear and efficient way;

· Design, build, test, and maintain ETL flows that ensure the necessary data treatment layers for usability and quality;

· Develop software components and custom analytical applications;

· Implementmonitoring processes to ensure data quality and production reliability;

· Organize,document, and manage all information related to data and processes;

· Ensure that data pipelines comply with the General Data Protection Regulation (GDPR).

Main requirements:

· Bachelor's or Master’s degree in Computer Engineering, Computer Science, or similar fields;

· Solid experience in data engineering, preferably in complex business environments (more than 3 years of experience);

· Experience with CI/CD principles (version control, unit and automated tests)

· Knowledge of Data Management (governance, quality, cataloging);

· Proven experience in data integration across different systems;

· Familiarity with cloud environments (AWS, Azure, or GCP);

· Proficiency in languages such as SQL and Python (or Scala);

· Strong communication skills with both technical and non-technical stakeholders;

· Critical thinking, attention to detail, and results-oriented mindset.

Work Location:

· Hybrid work model

· Role based in Oporto (preferably) or Lisbon

· If based in Lisbon, regular travel to the Oporto headquarters will be required.

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