Top Data Engineer Jobs in Portugal

Design and maintain data pipelines and infrastructure, develop ETL processes, collaborate with stakeholders to integrate data, and optimize database performance.

The Data Engineer will develop AI/ML algorithms, assemble complex data sets, and implement data pipelines while optimizing infrastructure.

As a Senior Lead Data Engineer, you'll lead development teams, design technical solutions, utilize big data and cloud technologies, and drive transformation initiatives.

The Data Engineer will design, optimize databases, and manage data, ensuring accuracy and accessibility, while working with clients to meet data needs.

As a Data Engineer, you will build and maintain data pipelines, collaborate on data modeling, and automate data processes for the Games team at Netflix.

Design and develop reliable distributed data systems to deliver high-quality data for Netflix's product, collaborating with data scientists and engineers.

The Data Engineer will build scalable privacy-centric data frameworks, engineer data pipelines, and ensure compliance with privacy regulations at Netflix.

The Data Engineer will build low-latency data products, manage distributed systems and ensure high-quality data for Netflix's product features, collaborating with data scientists and engineers.

The Data Engineer will build and scale data systems and machine learning models, collaborate with team members, and enhance data pipelines and quality systems for Netflix's Knowledge Graph.

Solutions Engineers at Vori configure grocery platforms for retailers, handling data integration and customer interactions to solve complex problems.

The Principal Data Engineer will design and implement scalable data platforms, lead architecture discussions, and mentor teams. Requires expertise in Azure and Databricks.

As an AWS Data Engineer, you will develop data pipelines, create data models, troubleshoot issues, and collaborate with teams while utilizing tools like PySpark and SQL.

As a Data Engineer, you will create and optimize datasets and data pipelines, focusing on large-scale data collection across various modalities and collaborating with multiple teams.

Lead the design and delivery of scalable data pipelines and platforms for enterprise-level analytics, ensuring operational excellence and data governance.

The Data Engineer will develop and maintain data infrastructure, ensuring data integrity and optimizing performance while collaborating with teams and clients.

The Data Engineer will implement real-time and offline data pipelines, parse binary formats, design data models, and improve CI/CD processes, contributing to cutting-edge defense technology projects.

The AI-Native Data Engineer will build data pipelines, architect databases, design GCP infrastructure, and automate workflows for energy management using AI.

The Data Engineer designs and builds data pipelines for analytics, ensuring data quality, governance, and integration across systems, while collaborating with teams for effective delivery.

The Data Engineer will design and maintain data pipelines and ETL processes, ensuring data reliability and accessibility while optimizing data storage and performance.

As a Business Intelligence/Data Engineer, you will analyze data structures, implement data warehousing solutions, and design data visualizations while working with AI/ML services in cloud environments.

The Principal Data Engineer is responsible for designing, developing, and maintaining scalable BI solutions and data pipelines using various technologies in a financial services environment.

The Principal IT Data Developer will lead development teams, engage with stakeholders, and drive the lifecycle of data applications while ensuring compliance with GxP regulations.

The Data Engineer will maintain data pipelines, manage cloud services, and work with big data infrastructures while ensuring security and compliance.

Lead the development and technical direction of fullstack applications, ensuring high quality, performance, and security while collaborating with cross-functional teams and mentoring other engineers.

The Data Engineer will develop, maintain, and optimize data pipelines using Apache Airflow, manage database performance, and support Elasticsearch integration. Responsibilities include building ETL scripts, handling Unix/Linux operations, and implementing CI/CD pipelines in GitLab.