Data Engineer Maia

Data Engineer
Maia
Maia, Porto District, Portugal

2 days ago Be among the first 25 applicants

Universo is a financial institution leader in the issuance of credit cards in Portugal (“Cartão Universo”) with more than 1 million customers. It has the goal of disrupting the banking industry in Portugal by innovating in the area of consumer payments, credit and insurance.

Our clients are the stars that set our course and make our work shine.

Want to be part of our Universe?

We are looking for a Data Engineer with 3-5 years of experience to join our Data Management team. The role is
- suited for someone with foundational experience in building data pipelines and models, who is eager to grow in a regulated financial environment and contribute to data quality, integration, and provisioning initiatives.

You will collaborate with Tech, business teams, and compliance stakeholders to ensure that the organization’s operational and analytical data is accurate, accessible, and aligned with governance requirements.

You will be responsible for:

• Develop and maintain ETL/ELT pipelines to integrate data from internal systems and external partners.
• Support the design and refinement of data models for reporting, operational monitoring, and regulatory reporting.
• Monitor data quality metrics and participate in root cause analysis and remediation coordination.
• Document data flows, metadata, and data definitions to ensure transparency and governance.
• Work with IT and business to validate data during system changes or feature development.
• Build and maintain datasets, feature stores and views for BI tools (e. g. Power BI) and ML Tools.
• Apply security, privacy, and compliance principles (e. g. , GDPR) in data processing.

If you have:

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
• 3-5 years of experience in data engineering, analytics engineering, or data integration role.
• Solid knowledge of SQL and Python for data transformation and analysis.
• Basic understanding of data models (dimensional, relational) and data architecture principles.
• Experience working with relational databases and cloud data tools (Azure).
• Experience with tools such as Azure Data Factory and Databricks.
• Good
  - solving skills and attention to data integrity.
• Strong communication skills and a collaborative approach

Nice to have:

• Familiarity with version control systems (e. g. , Git) and basic Dev
  Ops practices.
• Exposure to data governance or data quality initiatives in regulated sectors.
• Understanding of financial data and processes (e. g. , onboarding, scoring, payments).

If you are:

• Proactive and curious
• Team-oriented and a clear communicator
• Organized and
  - oriented
• Reliable and ambitious

What we offer:

• Flextime and a hybrid working model, allowing you to work smarter instead of longer.
• Professional growth –you will have a personalized training plan.
• A dynamic role contributing to the core data capabilities of a financial institution.
• Growth opportunities toward
  - and
  - level engineering roles.
• A collaborative and
  - functional environment.
• Exposure to data governance, regulatory reporting, and BI delivery.

We aim for greatness and boldness. We want to achieve the extraordinary, bringing your full self to what you do.

If you believe you can be a part of our Universe, please submit your CV.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

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