Top Data Engineer Jobs in Portugal

The role involves building and optimizing data pipelines, modeling datasets, applying machine learning techniques, and supporting data strategies. Candidates should have experience with Python, data lakes, warehousing, and related technologies.

As a Senior Data Engineer, you'll design and maintain data pipelines, ensuring data integrity while optimizing performance and collaborating with teams to deliver data-driven solutions.

As a Staff Software Engineer, you will architect and develop data systems for analytics and ML/AI, optimize data performance, and lead engineering collaborations.

The Senior Data Engineer will build and maintain data pipelines for processing various types of data, ensuring quality and compliance while working closely with product and engineering.

The Software Engineer will design and build scalable data infrastructure for AI research, focusing on distributed systems and data processing. Responsibilities include developing systems for data ingestion, monitoring platform reliability, and collaborating with research teams.

The Senior Data Analytics Engineer designs and implements data models and analytics solutions, oversees data pipelines, and collaborates with teams to drive insights.

The Sr. Data Engineer designs and maintains scalable ETL/ELT pipelines, supports processes, defines data models, and mentors junior team members.

The Sr. Data Engineer designs, implements, and maintains scalable ETL/ELT data pipelines, collaborates with teams, ensures data integrity, and coaches junior members.

The Sr. Data Engineer designs, implements, and maintains scalable data pipelines, defines data models, processes data, and coaches junior members.

The Senior Data Infrastructure Engineer will improve data infrastructure, manage data pipeline architectures, enhance observability, and guide the evolution of the data platform to support business analytics and AI use cases.

As a Senior Platform Engineer, you will develop and manage cloud and cold storage solutions, automate processes, and ensure system performance and security.

As a Senior Data Engineer, you'll lead the design and development of scalable data pipelines, mentor team members, and implement best practices in data engineering.

The Sr Data Engineer will lead data engineering initiatives, design and build data architecture, oversee software deployment, and support team operations while handling complex healthcare data.

In this role, you will design and maintain ETL processes, collaborate with teams for data insights, and utilize various programming tools to enhance operations.

The Data Operations Engineer will monitor trading processes, enhance deployment pipelines, ensure quality control, and drive continuous improvement initiatives.

The Data Platform Engineer will architect data components, manage data feeds, ensure quality and reliability, and optimize data infrastructure for trading operations.

Build and maintain scalable data pipelines in healthcare; develop solutions for data ingestion and modeling; collaborate with teams; ensure data quality and compliance, and explore AI tools.

The Software Engineer III will develop infrastructure for scientific analysis software, focusing on tools for high-quality delivery, scalability, and high availability, working in a team-oriented environment.

Design and develop efficient solutions for data extraction from scientific instruments, ensuring high performance, resiliency, and availability while working with a geographically dispersed team.

As a Data Software Engineer III at TetraScience, you will develop high-performance data connectors for scientific data acquisition, ensuring scalability, resiliency, and high availability while following agile methodologies.

Design, build, and maintain high-scale data ingestion pipelines. Collaborate with product management to define requirements and deploy resources in cloud data providers.

Lead the design and development of data integration solutions and APIs, ensuring performance and security. Oversee software lifecycle, mentor juniors, and contribute to code reviews while resolving complex technical issues.

Lead the design and maintenance of scalable data pipelines on AWS, collaborating with teams to implement complex data workflows and analytics solutions.

Responsible for designing, building, and maintaining data pipelines and infrastructure, collaborating with data scientists and stakeholders to support data-driven decisions.

The role involves building and deploying ML models, developing web applications for data insights, collaborating with teams, and providing consulting services.