Top Data Engineer Jobs in Portugal

Design and maintain technical infrastructure for data analysis, collaborate with stakeholders, and develop data visualization tools.

The Data Engineer will build scalable data pipelines, ensure data quality, and collaborate with teams for analytics and ML products.

As a Software Engineer II, you'll build and manage data processing platforms, create integrations, support development tools, and work in an Agile environment.

The Sr. Data Engineer will design and maintain data pipelines, optimize data jobs, and collaborate with teams to build scalable data solutions using AWS services.

The Senior Data Engineer will focus on ingesting and curating satellite imagery and geospatial data, building data pipelines, and mentoring junior engineers, while ensuring performance and scalability.

Design and build data infrastructure and data pipelines, focusing on big data processing, modeling, and automation to support engineering teams at NextSense.

The role involves architecting and maintaining scalable data pipelines, ensuring data quality, and collaborating on data strategy. Ideal candidates have experience with AWS services and data governance in healthcare.

The role involves developing and maintaining enterprise data pipelines, collaborating with various business units, and ensuring data quality and security standards.

The Senior Data Platform Engineer will design and implement scalable data platform architectures, mentor junior engineers, and collaborate with teams to deliver data solutions supporting AI and machine learning.

As a Lead Data Scientist, you will design end-to-end analytical solutions, develop ML infrastructure, and collaborate with clients to deliver insights and manage solutions.

As a Software Engineer, you'll enhance observability features, ensure platform performance and reliability, analyze workloads, and perform troubleshooting across software and database layers.

Develop and enhance high-volume data pipelines with ML capabilities, while collaborating with engineering teams to integrate data science into products and applications.

Design, operate, and maintain data systems for large-scale user demands, ensuring performance and reliability in diverse environments.

The Senior Software Engineer will manage data lifecycles, design foundational datasets, ensure data quality, and collaborate across teams to enhance data transparency and governance.

The role entails designing, developing, and managing data platforms, analytics, and AI services in a multi-cloud environment, focusing on SaaS products and security.

Lead product vision for ranking systems and Data API. Collaborate with teams to drive innovation, manage products, and identify investment opportunities.

As SVP, you will lead a global team in overseeing the SRE, DevOps, and infrastructure for Dentsu.Connect, ensuring operational excellence and strategic planning.

As a Product Engineer II, you will enhance automation strategies for Esri's geocoding technology, develop tools, and integrate authoritative geospatial data.

The Senior Data Engineer will build and optimize data infrastructure, design ETL pipelines, and collaborate with stakeholders to enhance data accessibility and quality.

The role involves building and optimizing data pipelines, collaborating with teams, and ensuring high performance and maintainability of data systems.

The Senior Data Engineer will build and maintain data pipelines, ensure data quality, and collaborate across teams to enhance the data platform.

As a Senior Data Engineer, you'll build ETL pipelines, contribute to architecture, enforce engineering best practices, and collaborate with teams to support AI-powered features.

The Data Engineer will design and maintain scalable data pipelines, implement data solutions on Azure, and ensure data quality and governance to support business intelligence initiatives.

The Data Visualization Developer will create business intelligence solutions, manage data models, and develop dashboards to support project controls within the construction management environment.

Assist in developing, supporting, and optimizing data systems for financial exchanges, gaining hands-on experience in software engineering best practices.