Top Data Engineer Jobs in Portugal

As a Senior Data Engineer, you'll build and support full-stack solutions, collaborate with teams on data technologies, and deliver cloud-based applications.

As a Senior Data Engineer, you will design, develop and support technical solutions, collaborate with teams, and utilize technologies like Python, SQL, and cloud-based data warehousing.

The BI Data Engineer will build data pipelines, develop data models, conduct analyses, and drive BI tool usage across teams.

The Senior Databricks Data Engineer will manage client engagements, deliver ETL solutions, and improve data processing. Responsibilities include project planning, pipeline design, and collaboration with team members.

The Data Engineer will build and maintain ETL pipelines, ensure data quality, support governance, and collaborate with teams to improve data for analytics and AI/ML products.

Design and develop ETL workflows, process Kafka streams, and implement data transformation to generate insights and compliance reports.

Develop, manage, and optimize data pipelines and ETL processes, collaborate with Data Science teams, and ensure data quality standards.

Design and build real-time market data processing systems, providing technical leadership and innovating with emerging technologies for enhanced efficiency.

As a Principal Data Engineer, you will design analytical solutions, manage client engagements, and develop data pipelines using modern tools and best practices while mentoring a small team.

As a Data Scientist, you will analyze data, understand user metrics, shape product development, and collaborate with product and research teams.

The Senior Data Software Engineer will enhance and manage data systems, optimize applications, and develop data integration solutions to support strategic objectives.

The Data Engineer will design and enhance data pipelines using Apache Airflow on Kubernetes, manage complex data streams, and ensure data reliability for marketing analytics.

As an Associate Data Engineer, you will troubleshoot data issues, support data flows, validate data and assist in documentation while ensuring compliance with data governance standards.

Responsible for developing and managing data structures and pipelines, designing ETL processes, collaborating with data science, and mentoring junior engineers.

The Data Engineer at CVS Health will develop and manage data structures, ETL workflows, and collaborate with data science teams to enhance analytics capabilities.

Responsible for designing, building, and maintaining scalable data pipelines and systems on GCP, ensuring efficient data flow for analytics and reporting.

As a Data Engineer, you will develop and optimize large-scale data structures and ETL workflows, collaborate with Data Science teams, and ensure data quality and accessibility standards.

Design and maintain scalable data pipelines and infrastructure for AI and ML initiatives, ensuring data quality and collaborating with teams to deliver insights.

Develop and optimize data processing infrastructure for robotic systems, enabling data access and visualization, supporting engineering teams with insights from logs.

The role involves designing and implementing software solutions for data integration and building scalable data platforms. Responsibilities include enhancing data systems and promoting software engineering best practices.

The Data Engineer will manage data initiatives, collaborate with teams, integrate data sources, maintain data integrity, and enhance reporting capabilities.

The job involves leveraging AWS and Snowflake for data engineering tasks within a technology-focused company, requiring US residency.

The Data Engineer will assist with building and deploying machine learning models, managing backend architecture, and automating data processes.

The AWS Cloud Data Engineer will design, develop, and enhance AWS data environments, build scalable Data Lake solutions, and lead proofs-of-concepts into production.

This role offers training for aspiring Data Engineers, focusing on technology of choice, interview preparation, and skill enhancement with guidance on OPT STEM extension.