Top Data Engineer Jobs in Portugal

The Principal Data Engineer will define data architecture, design pipelines, ensure data quality and governance, oversee data security, and lead technical teams to create durable data products for analytics and ML.

The Data Engineer will design and optimize data pipelines, write clean Python code for data processing, and collaborate to deliver data products, enhancing healthcare decision-making and outcomes.

The job involves leveraging AWS and Snowflake for data engineering tasks within a technology-focused company, requiring US residency.

The Data Engineer will design and manage data structures, build ETL workflows, and support data analytics for healthcare applications.

Responsible for developing and managing data structures and pipelines, designing ETL processes, collaborating with data science, and mentoring junior engineers.

The Associate Data Engineer develops large-scale data structures and ETL workflows, collaborates with Data Science, and improves data systems.

Develop and build data structures and pipelines, write ETL processes, collaborate with Data Science, and ensure data quality for insights.

Develop and manage data structures and pipelines, write ETL processes, collaborate with Data Science teams, and troubleshoot systems.

The Data Engineer at CVS Health will develop and manage data structures, ETL workflows, and collaborate with data science teams to enhance analytics capabilities.

The Data Engineer will develop and manage data structures and ETL workflows, collaborate with data science teams, and improve data accessibility.

The Associate Data Engineer will develop data structures, manage ETL processes, and collaborate with Data Science to analyze and utilize data effectively.

The Data Engineer role involves developing and managing data structures, ETL workflows, and collaborating with Data Science to enhance data processing and reporting systems.

Develop and manage large-scale data structures, pipelines, and ETL workflows to support business applications and improve analytic processing.

Responsible for designing, building, and maintaining scalable data pipelines and systems on GCP, ensuring efficient data flow for analytics and reporting.

Develop and manage data structures, pipelines, and ETL workflows. Collaborate with Data Science for integration, and troubleshoot issues while ensuring data quality.

As a Data Engineer, you will develop and optimize large-scale data structures and ETL workflows, collaborate with Data Science teams, and ensure data quality and accessibility standards.

The Data Engineer develops and manages large-scale data structures and ETL workflows, collaborates with data science teams, and ensures data quality and accessibility.

Design, develop, and manage data infrastructure for internal and client projects, focusing on large-scale data pipelines, APIs, and cloud deployments.

As the Founding Data Engineer, you'll unify data sources, build real-time pipelines, ensure data quality, serve ML & analytics, and optimize systems at scale.

The Data Engineer will build, optimize, and secure data pipelines for AI/ML solutions, managing ETL processes and ensuring data quality and compliance.

The Business Analyst will build scalable financial models, conduct complex data analyses, and provide data-driven insights for strategic planning and decision-making.

Lead fullstack applications and data systems for Yahoo Search, overseeing technical direction, coach engineers, ensure code quality, and collaborate on scalable solutions.

The role involves designing and developing scalable data pipelines, migrating to a cloud-first architecture, and collaborating on data solutions using modern cloud data technologies.

The Senior Data Engineer will implement GCP-based data solutions, provide mentorship, ensure data quality, and optimize workflows for business insights.

As a Data Engineer, you will build and maintain scalable data pipelines, implement data engineering frameworks, and support AI initiatives. You will also design processes for data cleansing, transformation, and orchestration while adhering to engineering standards.