Top Data Engineer Jobs in Portugal

As a Research Engineer, you'll enhance AI models through post-training and evaluation pipelines, focusing on data quality and performance metrics.

As a Staff Software Engineer, you'll lead the architecture and implementation of core systems and data platforms, ensuring adaptability and planning technical strategies.

As a Senior Data Engineer, you will design, build, and maintain scalable data platforms, ETL pipelines, and support analytics and ML workflows, ensuring data quality and cross-functional collaboration.

Design and maintain multilingual datasets, develop data pipelines, implement quality filters, and analyze dataset biases while collaborating with researchers.

The role involves designing and implementing ETL solutions for data integration, conducting testing, and collaborating on data models and architecture documents for a client.

We seek a Big Data Engineer with 4+ years in Hadoop batch processing and stream processing tech stacks. Key responsibilities include delivering big data solutions in healthcare analytics, collaborating with stakeholders, and managing high-capacity data ingestion.

The Data Integration Sr. Developer designs and implements ETL solutions for data warehousing and business intelligence, manages data transfers, and contributes to various data models and documentation while also supporting performance testing and ad hoc requests.

The Data Migration Engineer will handle data migration from EOS platforms to Isilon and VNX, requiring expertise in EMC Isilon and data management.

The Big Data Engineer will design and implement applications to process large data sets using Java and Hadoop components, lead complex projects, and manage vendor relationships.

Join an elite engineering team to develop massive data processing systems using Core Java and AWS, focusing on Big Data and performance optimization.

As a Sr Big Data Engineer, you will automate and integrate various data domains into a next-gen data platform, focusing on efficient data access and manipulation.

The Data Migration Engineer will finalize migrations from EOS defined platforms to VNX and Isilon, managing data workloads and communications effectively.

The Data Stage Developer supports Business Intelligence solutions, develops ETL processes, and guides data warehousing efforts, ensuring system performance and stability.

This role involves designing and implementing ETL solutions for data warehousing and business intelligence, requiring hands-on expertise in related tools and technologies.

The Senior Data Engineer will develop data engineering solutions, manage ETL workflows, and establish a new data practice while collaborating with stakeholders.

The Senior IT Big Data Developer will design and optimize data architectures, develop ETL/ELT pipelines, support data integration, and ensure compliance with data governance standards.

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.

The web developer will enhance a web application focused on data visualization, transitioning desktop tools and developing user-centric dashboards, while collaborating closely with a team.

The AI-Native Data Platform Engineer will design data foundations for AI systems in wealth management, architecting data pipelines, models, and frameworks to enable autonomous financial agents.

Design and implement multi-language software for a C-UAS program, build distributed data fabric and data fusion pipelines, evaluate technologies, debug mission-critical systems, mentor developers, and collaborate with systems, data, and test teams to validate solutions in lab and field environments.

The Data Architect will design scalable data models, transform raw data into actionable insights, and deploy analytics solutions for healthcare providers, with a strong emphasis on SQL proficiency and cloud technologies.

Lead design, integration, testing, and deployment of tactical data link and communications capabilities (Link 22/Link 16). Develop software requirements, MBSE artifacts, and interoperability/interface definitions. Support developmental and operational test/evaluation, acquisition documentation, and advise program leadership on performance, schedule, and cost. Interface with DoD, USAF, Army, and joint stakeholders.

Partner with portfolio-company leaders to translate business problems into quantitative frameworks, build predictive models and analyses, and drive strategy and execution. Lead AI assessments, identify growth opportunities, present recommendations to executives, and implement measurable data-driven initiatives across finance, pricing, operations, and marketing.