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Data Engineer

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IVY Partners

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Location:
Portugal , Porto

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Ivy Partners is a Swiss consulting firm that assists companies in overcoming their strategic, technological, and organizational challenges. As a Data Engineer at Ivy Partners, you will be tasked with designing, developing, and maintaining data pipelines, building connectors, implementing data quality, applying software engineering practices, implementing CI/CD, performing testing, implementing monitoring, taking operational ownership, and contributing to cost optimization.

Job Responsibility:

  • Designing, developing, and maintaining end-to-end data ingestion pipelines that support batch, near real-time, streaming, and event-driven patterns
  • Building and maintaining connectors for various sources including APIs (REST), relational and NoSQL databases, filesystems (Windows, Linux, SharePoint), SaaS platforms, and more
  • Implementing data quality checks, validation rules, and data contracts as outlined by the client and Data Office
  • Applying robust software engineering practices in Python, including modular design, packaging, unit testing, and documentation
  • Implementing CI/CD pipelines and automation using Docker and GitHub Actions with disciplined Git workflows and code reviews
  • Performing integration testing in development environments and supporting production releases in collaboration with internal teams
  • Implementing monitoring, alerting, and dashboards to ensure observability and efficient troubleshooting
  • Taking operational ownership of delivered pipelines, including incident handling and hot fixes when required
  • Contributing to cost optimization and efficient resource usage with a FinOps-aware mindset

Requirements:

  • Over 5 years of experience as a Data Engineer with considerable exposure to data ingestion in production environments
  • Advanced Python skills demonstrated by experience in building production-grade data pipelines
  • Solid experience with PySpark and Pandas
  • Experienced in using AWS and Databricks platforms
  • Strong track record with CI/CD and automation using Docker and GitHub Actions
  • Skilled in integrating with APIs, including all aspects from authentication to robust error handling
  • Implemented observability practices including logging, metrics, alerting, and run management
  • Maintains a strong Git discipline, featuring daily commits, feature branches, pull requests, and code reviews
  • Fluent in English, both written and spoken
  • Holds a strong sense of ownership and autonomy, with the ability to thrive in high-expectation, delivery-focused environments
What we offer:
  • Career that promotes both personal and professional development
  • Support for skill enhancement
  • Real opportunities for progression
  • Supportive environment where everyone is valued and empowered with training and growth prospects

Additional Information:

Job Posted:
January 03, 2026

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