Top Data Engineer Jobs in Portugal

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.

As a Distinguished Software Data Engineer, you will define technical strategies, mentor engineers, and optimize data platforms for AI readiness at Capital One.

The Data Engineer will develop and maintain data pipelines and frameworks, leveraging AI tools, while ensuring compliance and operational excellence across data platforms.

As a Senior Associate Data Engineer, you will build and maintain data pipelines, support analytics initiatives, and uphold data standards while collaborating with teams on data strategy and governance.

The Data Engineer Intern will deliver full-stack data solutions, working across the data lifecycle. Key responsibilities include designing ETL, creating data models, and facilitating data-driven decision-making through analytics and reporting.

The Data Engineer II optimizes data pipeline architecture, engages in data projects, performs data analysis, and ensures data delivery. They support data needs across systems and document work phases, contributing to QA plans and change management.

The Data Engineer II optimizes data pipelines, engages in data mapping and modeling, manages data architecture, and supports cross-functional teams. Responsibilities include troubleshooting, conducting data analysis, creating documentation, and ensuring data governance and operational stability.

The Data Engineer II supports and optimizes data architectures, develops streaming data applications with Kafka, and ensures data delivery for various teams, handling moderate complexity projects from design to implementation.

Join NinjaOne as a Data Engineer to build scalable data pipelines, optimize databases, automate processes, and collaborate with teams for data-driven decisions.