Top Data Engineer Jobs in Portugal

Lead data engineering efforts focusing on scalable ETL pipelines and data lake infrastructure, enhancing analytics capabilities for strategic growth.

Lead data engineering efforts, build scalable ETL processes, manage data infrastructure, and collaborate with cross-functional teams to enhance data-driven decision-making.

The Senior Data Engineer will lead data engineering initiatives, build scalable ETL pipelines, and collaborate with teams to optimize data usage for business growth.

Lead scalable data engineering efforts and manage ETL pipelines, ensuring data quality and supporting BI and analytics teams for strategic growth.

Lead data engineering efforts to build scalable ETL processes and improve data quality and infrastructure for strategic growth.

The Lead Data Engineer will manage scalable ETL pipelines, enhance data infrastructure, and support cross-functional teams with reliable data insights.

Lead scalable data engineering projects, optimizing ETL processes, ensuring data integrity, and collaborating with cross-functional teams to drive analytics and business intelligence infrastructure.

Lead data engineering efforts, optimizing ETL processes and infrastructure in a cloud-native environment. Collaborate with cross-functional teams for reliable data delivery and analytics support.

As a Founding Member of Technical Staff, develop and deploy AI systems, lead ML design and workflows, and ensure business impact through scalable AI solutions.

The Staff Data Engineer will design and enhance data architectures, lead complex initiatives, mentor teams, and ensure data quality and governance across the organization.

Design and optimize data pipelines using Scala/Spark on AWS. Collaborate with teams, ensuring efficient operation and debugging systems. Maintain performance and cost-efficiency.

Responsible for the architecture and reliability of data infrastructure, supporting data engineering and ML teams, and ensuring seamless self-service environments for data access.

The Senior Data Engineer will develop data pipelines, collaborate with stakeholders on key metrics, and build data models to improve business insights.

As a Software Engineer, you'll architect and build data collection pipelines, collaborating with researchers and data operations to ensure high-quality data collection.

The role involves bridging machine learning and systems engineering to enhance autonomy performance by optimizing data quality and developing frameworks for synthetic data in autonomous systems.

Architect and develop robust, petabyte-scale data pipelines, provide technical leadership, and collaborate with ML Engineers at Watney Robotics.

As a Software Engineer, you will build core data systems, collaborate on new features, and improve team productivity within a hybrid working environment.

Collaborate on building software tools for scientific analysis focusing on Python development, managing workflows, and bridging gaps between scientists' needs and software solutions.

The Software Engineer will lead the data platform's architecture, design scalable systems for data processing, and ensure data quality, mentoring team members.

Design and implement infrastructure orchestration and operational systems for Aerospike Cloud. Collaborate across teams to ensure reliability and scalability, handling complex issues in distributed systems.

The Sales Engineer will support account teams, conduct product demonstrations, develop technical proposals, and analyze customer data scenarios to promote data observability solutions.

Lead the development of scalable, cloud-native analytics solutions, design data pipelines, optimize BI solutions, and engage with stakeholders.

The Software Engineer will develop and maintain real-time streaming data pipelines using Apache Flink and Kafka, ensuring data delivery and quality. Collaborate with teams to optimize data models and promote best practices in data governance.

The Principal Data Ops Engineer will design and implement scalable data infrastructure solutions, provide technical leadership, and ensure operational excellence for data platforms.

The Senior Data Engineer designs and develops data pipelines, collaborates with subject matter experts, mentors junior engineers, and implements data integration solutions within an Agile environment.