Top Data Engineer Jobs in Portugal

As a Senior Data Engineer, you'll design and implement ETL processes for large-scale advertising data, build data infrastructure using open-source technologies, collaborate with data scientists on machine learning models, and ensure data quality and governance while contributing to strategic data initiatives.

As a Senior Data Engineer at Capital One, you'll collaborate with Agile teams to design, develop, and support innovative solutions using a variety of technologies, focusing on big data and cloud implementation. You'll engage in problem-solving, mentoring, and stay updated on tech trends, while ensuring code robustness and performance optimization.

The Azure Data Engineer at Xebia is responsible for utilizing the Azure Data Engineering Stack and various programming languages to design, build and maintain data solutions that support the company's digital transformation initiatives. They will work independently and in a team within an Agile environment, ensuring best practices in software development while effectively communicating with stakeholders.

The Data Engineer will design and optimize database systems for structured data, lead architecture discussions, mentor junior developers, and manage engineering risks. Responsibilities include software development, stakeholder communication, and supporting business units. Knowledge of cloud architecture and data warehousing is essential.

The Data Engineer at Applied Materials will design and optimize data pipelines, ensuring efficient data flow and architecture across various projects. Responsibilities include building analytics tools, supporting data infrastructure needs, and collaborating with cross-functional teams to enhance data processes and services.

As a Data Engineer at EDO, you will develop and maintain a robust data pipeline for advertising effectiveness. Collaborating with Data Scientists, you will manage large datasets and employ various technologies to ensure data accuracy and accessibility for critical business decisions. You will be responsible for building complex ETL processes using a modern tech stack focused on data warehousing and cloud computing.

As a Data Engineer, you will analyze, clean, and manage datasets to support trading activities. You'll automate ETL processes and work collaboratively with traders and engineers to improve data understanding and accessibility. Strong programming skills and experience with SQL and data visualization are important, along with the ability to communicate findings effectively.

The Cloud Data Engineer III will work within an AWS Cloud Data Services team, engaging in architecture design, engineering delivery, and supporting agile methodologies to build data solutions. Responsibilities include coding, resolving issues, mentoring juniors, and adhering to best practices.

As a Data Engineer at Figma, you'll own and scale data pipelines, work with cross-functional teams to derive data requirements, optimize core data models, and establish best practices for analytics and modeling.

The Azure Data Engineer at Xebia will handle the Azure Data Engineering Stack, utilizing tools like Event Hub and Data Factory, while also working with languages such as Python and Spark. Responsibilities include developing data solutions, implementing data warehouse constructs, and collaborating in Agile teams, all aiming to support digital transformation for clients.

As a Data Engineer, you will build and operationalize complex data solutions and design advanced AI applications, collaborating with various teams to improve analytics and data governance. The role involves implementing secure data pipelines and optimizing data streaming architectures while ensuring compliance with security practices.

As a Data Engineer at AndHealth, you will develop secure data pipelines for healthcare integration, manage data quality and storage, and ensure compliance with regulations. You'll leverage cloud technologies like Google Cloud Platform and BigQuery, and utilize your expertise in data manipulation to improve healthcare outcomes.

As a Principal Data Engineer at Nuna, you will lead the development of an analyst-friendly data warehouse and oversee enhancements to the data processing infrastructure. Your role involves collaborating with teams to architect solutions that improve healthcare outcomes through effective data management and integration.

The Data Engineer will design and implement database solutions, build and maintain robust data pipelines for AI model training, and monitor systems for performance. They will work with SQL and NoSQL databases, ETL tools, and cloud services to enhance data reliability and quality.

The Data Engineering Manager will lead a team of engineers in developing and maintaining scalable data infrastructure, overseeing data pipelines, ensuring data quality, collaborating with cross-functional teams, managing projects, and contributing technically to optimize performance.

The Data Engineer will design and implement microservices to deploy machine learning models, support data access layers and ingestion for PostgreSQL databases, and assist with devops and automation to prepare for production releases. Key responsibilities include coding, automating data processes, and managing day-to-day operations within a collaborative environment.

The Senior Data Engineer will design and architect data pipelines and ETL processes, maintain data lakehouse solutions, optimize data strategies across cloud platforms, mentor junior engineers, and ensure the high availability of data infrastructure while collaborating with data scientists for advanced analytics initiatives.