Top Data Engineer Jobs in Portugal

The Sr. Systems Engineer will optimize data availability and utilization, promote cross-program collaboration, and produce engineering documentation, focusing on enterprise data enablement.

As a Senior Data Engineer, you'll design and build data pipelines, automate processes, and collaborate with business teams to support analytical needs, ensuring data quality and optimization for ML workloads.

Design and implement data systems, manage projects, ensure data quality, mentor junior engineers, and collaborate across teams to provide insights.

As a Senior Data Engineer, you will manage data pipelines, ensure data quality, partner with teams for data-driven decisions, and improve the data platform while maintaining data integrity.

The Senior Data Engineer will create and manage data pipelines, ensuring data quality, collaborating with teams for data-driven decisions, and evolving the data platform.

As a Data Scientist - AI Engineer, you will apply machine learning and AI to analyze revenue data, forecast trends, and enhance sales strategies, directly influencing business decisions.

Design and develop features for the data platform, focusing on data ingestion, transformation, and storage. Architect scalable data processing pipelines in Go, mentor engineers, and participate in on-call rotations for operational issues.

The Staff Data Engineer will own the telemetry data platform, designing and managing data ingestion pipelines, ETL systems, and backend services while ensuring data reliability and performance.

As a Senior Software Engineer, you will enhance and maintain the ingestion pipeline, ensuring high performance and reliability of systems processing large datasets.

The Sr Data Engineer will design and support data pipelines for machine learning tasks while collaborating with AI teams and providing technical advisement to leadership.

Lead the development of scalable data engineering solutions, manage ETL pipelines and data lakes, and support cross-functional teams with actionable data for strategic growth.

Lead scalable data engineering efforts, manage ETL pipelines, ensure data quality, and collaborate with teams to support analytics and BI needs.

Lead scalable data engineering efforts, build optimized ETL processes, manage data ingestion, and ensure data integrity to support business growth.

Responsible for leading data engineering efforts, building scalable ETL processes, and collaborating with BI and analytics teams to enhance data quality and infrastructure.

Lead data engineering efforts to build and optimize scalable ETL processes, supporting cross-functional teams with actionable data and ensuring data integrity.

Lead data engineering efforts to empower teams with actionable data, optimize ETL processes, and maintain data quality for business growth.

Lead scalable data engineering efforts, empowering teams with data, building ETL processes, and ensuring data quality for business insights.

The Senior Data Engineer will lead scalable data engineering efforts, build ETL processes, manage data lake infrastructure, and collaborate across teams to ensure data integrity and support business intelligence.

Lead scalable data engineering efforts, building ETL and data lake processes to empower teams with actionable data for strategic growth.

Lead data engineering efforts to create scalable ETL pipelines and management of data lake infrastructure while enhancing data quality and supporting cross-functional teams.

Lead data engineering efforts, build ETL pipelines and data lake infrastructure, ensure data quality, and support cross-functional analytics and BI teams.

Lead scalable data engineering efforts to provide reliable data for cross-functional teams, ensuring actionable insights fuel strategic growth.

The Senior Data Engineer will lead scalable data engineering efforts, optimizing ETL processes, ensuring data integrity, and supporting analytics across teams to drive strategic growth.

Lead data engineering projects, build scalable ETL pipelines, and collaborate cross-functionally to enhance data-driven decision-making across the company.

Lead the data engineering initiatives to ensure timely access to reliable data across teams, focusing on building scalable ETL processes and maintaining data quality.