Top Data Engineer Jobs in Portugal

The Senior Engineer, Data Integration will design, build, and support HL7 interfaces using the Cloverleaf Interface Engine, focusing on healthcare data integration, system maintenance, and ensuring best practices in interface development.

The Senior Power System Studies Engineer designs and applies AI/ML techniques for power system optimization, conducts simulations, and mentors junior engineers.

The Staff Data Engineer will design, build, and optimize large-scale data capabilities, focusing on automation and intelligent decision-making within the organization. Responsibilities include software design, implementation, and promoting best engineering practices.

The Data Engineer will design, implement, and manage data architecture solutions, ensuring scalability, reliability, and security while optimizing data integration and ETL processes.

As a Senior Backend Engineer, you'll architect scalable backend services and APIs for data processing pipelines, optimizing database performance and mentoring engineers.

The Senior Software Engineer will enhance data acquisition by building efficient data pipelines and RESTful services, primarily using Go and AWS technologies.

Join the Data Acquisition team at Zus to build tools for collecting and processing health data sources, using AWS services and developing services in Go and NodeJS.

The Staff Software Engineer will work on data pipelines and RESTful services, focusing on collecting and managing health data for the Zus platform.

Own and evolve the data platform by leading architectural evolution, collaborating with teams for strategic data initiatives, and ensuring reliable data systems.

Develop backend services and data pipelines for 3D printing systems, enabling real-time data access and functionality for quality monitoring and machine learning integration.

The role involves building and integrating Ramp's Analytics and Machine Learning Platforms, collaborating with teams to productionize ML applications, and improving data tools for data science workflows.

As a Senior Data Engineer, you will architect data infrastructure, build data ingestion pipelines, and design systems for AI and financial workflows in a healthcare context.

The role involves creating dashboards and visual frameworks, building data pipelines, performing analyses to uncover insights, and communicating findings to stakeholders.

Design and implement data processing systems and API services at scale, optimize data models, and collaborate with cross-functional teams to deliver data solutions.

The Senior Manager will lead the development of data operations, focusing on building a data warehouse, managing data quality, and supporting analytics initiatives.

As a Senior Data Engineer, you will architect, design, and implement data lakes and warehouses while managing AWS environments, ETL pipelines, and analytics projects. Collaborate with teams to enhance strategic data processes and support healthcare solutions.

The Senior Data Engineer will design and build AI capabilities, manage data pipelines, and lead engineering practices while mentoring team members in a fast-paced environment.

Join the Next-gen Firewall dataplane team to design and develop advanced networking software for next-generation firewalls, ensuring security and performance across multiple environments.

The ETL Developer will work with Datastage and IPF, focusing on both technical and functional financial systems development, enhancing system performance and guiding teams.

The Big Data Engineer will work with Java, Spark, and Hadoop to design and implement large-scale data processing systems, focusing on distributed systems and machine learning algorithms.

Design and develop ETL processes and data structures for banking data warehousing. Mentor junior developers and ensure solution alignment with business strategies.

Designs and develops ETL processes using IBM DataStage, collaborates with analysts, ensures data quality, and mentors junior developers.

The DevOps Engineer will design, develop, implement, and support systems processing real-time big data as part of a 20-person team.

The Java Engineer will design, develop, implement, and support systems for processing massive real-time data, collaborating with a team of 20 developers.

Join a start-up as a Data Platform Engineer, responsible for dimensional modeling and data warehousing using Django/Python. Implement designs and impact software direction.