Top Data Engineer Jobs in Portugal

Lead the design, development, and deployment of enterprise-grade web applications with a focus on full-stack architecture, managing teams and collaborating across functions.

Lead the design and deployment of scalable ML infrastructure, focusing on MLOps and LLM strategies, while mentoring team members and ensuring operational maturity.

As a Principal Software Engineer, you will architect and implement data solutions, develop scalable applications, and ensure high-performance code delivery.

The role involves building and maintaining full-stack systems for data feedback collection, translating research into production infrastructure, and enhancing model training and interaction.

As a Senior Data Engineer, lead the creation of data models, design data pipelines, and enhance data workflows while collaborating with cross-functional teams.

As a Data Infrastructure Engineer, you will design and maintain data pipelines for Snowflake, utilizing AWS services and ensuring high data quality in a banking environment.

As a Senior Data Reporting Software Engineer, you'll develop BI tools, reporting solutions, and UIs, ensuring data-driven decisions across stakeholders.

The Senior Staff Engineer, Finance Data Specialist will lead the development and maintenance of a Finance Data Warehouse, ensuring effective financial data processing and analytics for GEICO's finance operations.

The role involves designing and building scalable systems, engaging in collaboration across software lifecycle, and driving innovation using diverse technologies.

As a Senior Data Engineer, you will build and maintain data systems, utilizing modern technologies to enhance data capabilities and mentor other engineers.

The Sr. Data Engineer designs, builds, and maintains data pipelines and integrations, ensuring data quality and compliance while optimizing workflows and collaborating with teams.

As a Senior Data Engineer, you will design and maintain data pipelines, optimize data models, and lead architectural decisions while mentoring junior engineers.

The Senior Data Engineer will design and maintain scalable data infrastructure, integrate data sources, ensure data governance, and collaborate with cross-functional teams to optimize data systems and support data-driven decision-making.

The Senior Software Engineer will develop AI applications, manage workflows for live media, mentor junior engineers, and collaborate on innovative technologies.

Design and maintain data platforms, automate infrastructure, ensure data quality, collaborate with stakeholders, and mentor junior engineers.

As a Senior Data Engineer, you'll design and maintain scalable data pipelines, manage MLOps infrastructure, and ensure reliable data workflows, while collaborating across teams to influence rent recommendations.

As a Senior Data Engineer, design and manage data ingestion frameworks, build MLOps infrastructure, and ensure data quality for real-time analytics.

As a Senior Data Engineer, you will develop and maintain data solutions, collaborate to meet data needs, and support automation efforts within a healthcare-focused startup.

As a Senior Data Engineer at Roku, you'll design data models, create scalable pipelines, and ensure data quality for business metrics analysis.

The Senior Data Infrastructure Engineer will scale and enhance data infrastructure for ML applications, managing and improving data pipelines, storage, and reliability while addressing real-world data challenges.

Senior Data Engineers design and build solutions for extracting insights from data sets, focusing on developing big data pipelines and cloud infrastructure.

The Senior Geospatial Data Engineer will build and maintain ETL pipelines, optimize performance, and communicate solutions to clients, leveraging cloud data technologies.

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

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.