Top Data Engineer Jobs in Portugal

As a Data Engineer, you will transform raw healthcare data into quality intelligence products, lead product development, and mentor junior engineers while collaborating cross-functionally.

The Data Engineer will design and build scalable data systems, contribute to the architecture of the data platform, and collaborate with AI/ML engineers to enhance automation and intelligence in Canoe's systems.

The Data Engineer will help build modern data infrastructure, designing ETL pipelines, modeling datasets, and collaborating with teams for improved data quality and accessibility.

The Principal Data Engineer will lead technical consulting efforts, manage data engineering projects, ensure quality control, and mentor team members while focusing on clinical data software and analytics solutions.

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

Lead data engineering projects, develop and implement data pipelines and architecture strategies, manage data quality, and mentor team members at PwC.

This role involves overseeing data engineering applications, mentoring junior staff, analyzing complex issues, and fostering collaboration with stakeholders to achieve business insights and optimize data processes.

As a Manager in Managed Services, you'll lead data ecosystems projects, mentor juniors, manage client accounts, and deliver data strategies to optimize operations and drive insights for clients.

As a Senior Associate in Data Engineering at PwC, you will design and implement data architecture strategies, analyze complex issues, mentor junior members, and build client relationships while ensuring adherence to project standards.

As a Senior Manager in Data Engineering, you will lead teams to design data architectures, develop data solutions, manage client engagements, and ensure compliance with data governance policies.

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.

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.

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

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.

As a Data Engineer, you'll lead data engineering projects, develop data transformations, build workflows with Apache Airflow, and ensure data quality and integrity while collaborating with stakeholders.

The Data Engineer will clean data, perform basic analysis, develop dashboards, and ensure data integration and visualization, using AI techniques.

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

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

Designs and implements data ingestion and transformation processes, automates quality checks, and maintains data pipeline reliability while supporting cloud integrations and Agile practices.

Design and implement data patterns, automate quality checks, and improve pipeline reliability. Develop streaming data applications and maintain infrastructure as code.

Designs and implements data patterns, automates quality checks, and ensures pipeline reliability. Collaborates on data ingestion, develops streaming applications, and maintains infrastructure as code while supporting user needs.

Design and implement reusable data patterns, automate quality checks, and enhance pipeline reliability, while developing streaming data applications and overseeing data integration.