Top Data Engineer Jobs in Portugal

Develop and maintain high-performing data connectors for scientific instruments, ensuring data extraction scalability and reliability while adhering to agile methodologies.

Work as a Senior Software Engineer focusing on AI and data pipelines in healthcare, designing and managing cloud environments and ensuring security and reliability.

Develop and maintain real-time market data feeds, focusing on performance and latency improvements in a collaborative environment.

Lead the development and deployment of machine learning and generative AI solutions at Proofpoint, driving innovation in cybersecurity through technical leadership and collaboration.

The Software Engineer will manage data collection, operate cloud infrastructure, and collaborate with scientists to enhance AI models at Speechify.

As a Senior Data Engineer, you'll optimize and maintain analytics platforms, mentor junior engineers, and ensure data process excellence through collaboration and best practices.

As a Data & Automation Engineer, you'll build data platforms, design data models, manage datasets, and optimize data pipelines for analytics and decision-making.

Lead the design and engineering of large-scale semantic data models and ensure data standardization and integrity across enterprise-wide platforms.

The UX Engineer will design and build front-end systems for data delivery, collaborating with cross-functional teams to enhance user experiences and accelerate sales.

Design and develop scalable streaming systems on public cloud. Lead junior engineers, collaborate with teams, and contribute to continuous learning in an Agile environment.

The Senior Data Engineer will design and implement a molecular data management platform, oversee cloud migration, and mentor junior team members.

Build next generation distributed data storage and processing systems, including projects like Apache Spark and Delta Lake, while focusing on customer value and handling complex data engineering pipelines.

As a Staff Software Engineer, you will build distributed data systems, focusing on reliability and performance for large-scale data processing, using technologies like Apache Spark™ and Delta Lake.

As a Senior Software Engineer at Databricks, you will design and build advanced distributed data storage and processing systems focusing on optimizing performance and supporting various data workloads.

The Data QA Engineer is responsible for ensuring data quality through automated testing frameworks, SQL queries, and collaboration with analytics teams.

Lead a team to enhance the AI self-service portal and manage data pipelines, leveraging cloud technologies and overseeing engineering best practices.

The Data Science Engineer will develop AI systems, implement RAG pipelines, fine-tune models, manage knowledge graphs, and optimize AI workflows in collaboration with cross-functional teams.

The Senior Data Platform Engineer will enhance a metadata management environment, focusing on OpenMetadata, ingestion pipelines, and data lineage, while ensuring system reliability and automation.

The Senior Backend Engineer will architect and maintain scalable microservices, design data ingestion pipelines, optimize backend performance, and mentor team members.

The Sr. Data Engineer will develop large-scale data structures, manage ETL workflows, collaborate with Data Science teams, and ensure data quality and accessibility.

Develop and manage data structures, pipelines, and ETL workflows; collaborate with Data Science, optimize queries, and ensure data quality.

The role involves designing and implementing data solutions using Azure, collaborating with engineering and product teams, and developing ETL solutions to integrate multiple data sources.

The role involves contributing to SDLC, executing test cases, logging results, developing test processes, and maintaining automation frameworks for data architecture.

Develops and manages data structures, pipelines, and ETL workflows to support business applications, collaborating with Data Science teams and integrating data from various sources.

The Engineer II will deliver high-quality data solutions, design and implement modern data systems, and support cloud migrations using Azure. Responsibilities include developing ETL solutions, ensuring data quality, and troubleshooting critical issues.