Data Engineer

Genesis Digital Solutions

Data Engineer developing scalable data platforms at Genesis Digital Solutions. Integrating data sources and enabling reliable data solutions for analytics and decision-making.

Posted 5/27/2026full-timeLisbon • 🇵🇹 PortugalMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSCloudETLPython

About the role

Key responsibilities & impact

Building and maintaining data pipelines for collecting, transforming, and integrating data from multiple sources.
Working with cloud platforms and services such as AWS (S3, Lambda, Glue) and Databricks.
Developing scalable data processing solutions using Python and related technology stacks.
Supporting the full data lifecycle, from ideation and ETL/ELT processes to deployment and operationalization of data products.
Ensuring data availability, quality, and reliability for reporting and analytics initiatives.
Collaborating with multidisciplinary teams to deliver efficient and scalable data enablement solutions.
Contributing to reusable, testable, and maintainable codebases following development best practices.
Supporting version control and collaborative workflows using GitHub.

Requirements

What you’ll need

Experience building data pipelines and integrating data from diverse data sources.
Hands-on experience with cloud platforms such as AWS, including services like S3, Lambda, and Glue.
Experience with Databricks or similar cloud-based data engineering platforms.
Strong programming skills in Python and related ecosystems.
Good understanding of the data lifecycle, including ETL/ELT processes and deployment of data products.
Experience using GitHub and collaborative development practices.
Strong analytical and problem-solving skills.
Ability to work collaboratively in agile and technical environments.

Benefits

Comp & perks

Health and life insurance
25 days of annual leave
Support for professional development, training, and certifications
Flexible working model and collaborative environment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data pipelinesETLELTPythondata processing solutionsdata integrationdata lifecycleversion controlcollaborative developmentscalable data solutions

Soft Skills

analytical skillsproblem-solving skillscollaborationcommunicationagile environment