Top Data Engineer Jobs in Portugal

As a Data Engineer II, you will build and optimize data pipelines in Databricks, ensure high-quality data delivery, and support generative AI applications. You will collaborate with data scientists and AI engineers to provide reliable data infrastructures and meet business needs.

As a Data Engineer, you will build features and services, maintain cloud databases, collaborate with teams, and ensure data integrity.

Design, build, and maintain scalable data pipelines and API integrations; implement data quality monitoring and alerting; troubleshoot data issues; collaborate with business stakeholders; support CI/CD processes and scale architecture for future needs.

Lead the design of scalable data architectures, optimize data processing workloads, and mentor talent while promoting modern technologies and engineering excellence.

The Data Engineer will lead data projects, collaborate with stakeholders, develop data transformations, and maintain data quality for business needs.

The Data Engineer Co-op will work on web data feeds, utilize AI technologies and frameworks, and develop data pipelines.

As a Distinguished Data Engineer, you will lead the technical strategy for data pipelines, driving innovation and best engineering practices while mentoring internal teams and influencing stakeholders across the enterprise.

Lead the design and engineering of secure data solutions, focusing on graph data modeling, large scale pipelines, and platform optimization to support fraud detection efforts.

The role involves designing, developing, and deploying efficient code, managing client communications, and providing technical guidance while ensuring quality control in clinical data services.

The Data Engineer will build real-time data pipelines for pricing algorithms, collaborate with teams, and contribute to batch data workflows.

Responsible for the planning, designing, and implementing of software applications. Collaborates with stakeholders, leads teams, and ensures timely delivery of projects while mentoring junior engineers.

The role involves building and supporting data-centric applications, ensuring quality data delivery, and troubleshooting issues in a fast-paced environment.

The Data Engineer will build datasets and pipelines for marketing and sales reporting, collaborating with various teams to support data needs and ensure scalable solutions.

The Principal Data Engineer will lead data engineering efforts on public cloud, design scalable solutions, build data pipelines, and drive deliverables with a high level of technical expertise in relevant technologies.

The Principal Data Engineer designs and optimizes scalable data solutions, focusing on healthcare data integration, and provides technical leadership to engineering teams.

Assist in developing and maintaining data processing pipelines, collaborating with teams to define requirements, and enhancing infrastructure for data sets.

As an AI Data Engineer, you will develop full stack applications integrating AI capabilities to support pharmaceutical research, enhancing workflows and productivity. Responsibilities include collaborating with researchers, developing scalable backend services, and deploying systems in AWS.

Develop financial data strategies, support data needs for various teams, architect and implement ETL processes, enhance tooling and frameworks, and troubleshoot databases and reporting.

The Data Engineer II role involves optimizing data architecture, developing data pipelines, and supporting analytics initiatives for cross-functional teams.

The Data Engineer II optimizes data architecture and pipelines, supports data initiatives, and develops solutions for data-related projects.

The Data Engineer II optimizes data pipelines and architecture, supports data delivery, and develops BI solutions. They engage in data modeling and transformation while ensuring data quality and compliance.

The role involves designing and maintaining high-performance market data systems, optimizing for speed and accuracy, and partnering with research and trading teams.

Design and optimize scalable ELT data pipelines using Python and Spark, collaborate on data solutions, and leverage AI tools to enhance development efficiency.

Lead enterprise data governance, quality, and lineage strategy. Mentor teams and partner with engineering to enhance data intelligence through AI-driven frameworks.

Join BlackRock's Advanced Data Analytics team to deliver research and data solutions for structured products, leveraging data technologies and statistical methodologies.