Top Data Engineer Jobs in Portugal

Lead the design and development of data integration solutions and APIs. Oversee cloud-based enterprise software development, mentoring junior staff and ensuring performance and security standards are met.

As a Lead Software Engineer on the Data Platform team, you will enhance the data infrastructure for AI/ML products, ensuring reliability and scalability while defining data governance and automation workflows.

Lead the development and maintenance of data pipelines, backend services, and collaboration with product and analytics to ensure data quality and governance.

As a Sr. Data Engineer, you'll design and maintain data pipelines, support AI workflows, manage data architecture, and collaborate with cross-functional teams.

The Lead Data Engineer will transform data infrastructure using Microsoft data stack and Azure, lead technical teams, design models, and implement solutions.

As a Senior Data Engineer at TRI, you will design and build robust data infrastructure and pipelines to support autonomy research and simulation workflows.

The Principal Software Engineer will lead the architectural design and implementation of the Data Platform, focusing on data integration and AWS infrastructure, while mentoring team members.

The BI Developer will design and maintain reports and dashboards, optimize SQL queries, and collaborate with clients to enhance data usability.

The Data Platform Engineer will build and manage large-scale data products, ensuring operational stability, collaboration, and platform improvements while possessing strong expertise in data systems and automation.

The Staff Data Platform Engineer will lead the design and scaling of data storage systems and caching solutions to petabyte capacity, improving data access and reliability for mission-critical applications.

The Senior Data Engineer will design, construct, test, and maintain architectures including databases and large-scale processing systems.

The Data Science Software Engineer will develop production-ready AI solutions, build backend systems for data science workflows, and ensure integration with customer operations.

The Senior Data Engineer will build scalable data models and pipelines, enhance data quality, and mentor team members in data best practices.

The Staff Software Engineer will design and implement backend services, drive technical decisions, mentor engineers, and troubleshoot production issues in AI-driven platforms.

Seeking a Data Engineer to implement data integrations, develop scalable web applications, mentor team members, and uphold data quality standards.

As a Software Engineer on the ML Platform team, you will design scalable data infrastructure to support ML model training, collaborate on data management, and enhance pipelines.

As an AV Safety Benchmarking Engineer, you will research, develop metrics, and process data to ensure safety performance and decision-making for AV technology.

Lead the Data Engineering practice, modernizing the data stack, building a data lakehouse, and supporting analytics and product needs.

The role involves developing models, analyzing large datasets, and collaborating with teams to create impactful digital solutions at Adobe.

Join a team as a Junior Quantitative Software Developer enhancing infrastructure for data collection and processing in finance.

Lead a team of engineers in building and maintaining data processing pipelines for autonomous vehicles, focusing on scalable cloud ETL technology and mentorship.

The Data Integration Engineer will support data scientists by building data pipelines, integrating multiple data sources, and optimizing queries, while ensuring best practices in AWS and DevOps are followed.

Support analytics and product teams by building ETL pipelines, optimizing data processes, and collaborating on telemetry design for product launches.

The Sr Data Engineer will design data pipelines, collaborate on ETL projects, implement data quality checks, and document engineering processes.

The Senior Data Engineer will design and optimize data pipelines on GCP, focusing on microservices, data integrity, and governance while collaborating with cross-functional teams.