Top Data Engineer Jobs in Portugal

As a Palantir Data and Software Engineer, you will architect and develop scalable data solutions using Foundry, guide development lifecycle phases, mentor junior engineers, and drive data integrations and system improvements.

Responsible for developing applications for data acquisition, preparation, training, quality evaluation, and delivery for AI model training, ensuring a reliable and scalable data platform.

The Network Engineer will label, annotate, and structure data from networks, supporting the development of AI-driven infrastructure solutions.

The job involves requirements engineering for software systems related to data platforms, focusing on the analysis and gathering of system requirements.

Develop and optimize end-to-end data pipelines for autonomous driving, ensure data quality, and support model training through efficient data management processes.

Design, build, and maintain large-scale data structures, ETL pipelines, and data marts for real-time and batch analytics. Collaborate with Data Science to operationalize models, ensure data quality, optimize Hadoop/HDFS workflows, and integrate cloud-based solutions.

Design, build, and maintain large-scale data structures, ETL pipelines, and data marts to support analytics and reporting. Integrate Data Science models into automated processes, optimize Hadoop/Spark workflows, ensure data quality and accessibility, troubleshoot systems, and recommend tooling and cloud solutions.

Design, build, and maintain large-scale data structures, ETL pipelines, and data marts; optimize Hadoop/HDFS workflows; integrate data science models; ensure data quality, accessibility, and production deployments; troubleshoot systems and recommend tooling improvements.

Build and manage large-scale data structures, pipelines and ETL workflows. Design databases, data marts and analytical models. Integrate data science models into automated processes, ensure data quality and accessibility, optimize Hadoop/HDFS/Hive systems, and recommend tooling and cloud solutions for scalable ML and analytics.

Design, build, and maintain large-scale data structures, ETL pipelines, and data marts. Integrate data for analytics and Data Science, optimize Hadoop/Hive workflows, write application code, test and troubleshoot systems, and recommend tools and solutions to meet business requirements.

Build and maintain large-scale data structures, pipelines, and ETL workflows; design databases, data marts and models; integrate data science models; optimize Hadoop/Spark queries; ensure data quality and accessibility; test, troubleshoot, and recommend tooling for analytics and reporting use cases.

Design, build, and maintain large-scale data structures, ETL pipelines, and data models to support analytics. Develop real-time and batch processing using Hadoop, Spark, Airflow, SQL, and GCP; integrate Data Science models into production; ensure data quality and accessibility; troubleshoot, optimize, and recommend tools to support modernization and reporting needs.

Design, build, and maintain large-scale data structures, ETL pipelines, data marts and models for analytics. Integrate data sources, ensure data quality, optimize Hadoop/Spark workflows, collaborate with Data Science to operationalize models, and recommend tooling and architecture improvements.

Design, build, and maintain large-scale data structures, ETL pipelines, and data marts. Integrate and operationalize ML models, optimize Hadoop/HDFS workflows, ensure data quality, and collaborate with data science to support analytics and reporting needs.

Design, build, and maintain large-scale data architectures and ETL pipelines using Hadoop, Spark, and cloud platforms. Collaborate with Data Science to operationalize models, ensure data quality, troubleshoot systems, and recommend tools and solutions to support analytics and reporting.

Design, build, and maintain large-scale data structures, ETL pipelines, and data marts for analytics. Integrate data from multiple sources, optimize queries, ensure data quality, and collaborate with Data Science to productionize models. Work with Hadoop/HDFS/Hive, cloud platforms, and programming languages to support reporting and analytic products.

Build and manage large-scale data structures, pipelines, and ETL workflows; design databases and data models; integrate data science models; ensure data quality and accessibility; optimize Hadoop-based and cloud data solutions to support analytics and reporting.

Design, build, and maintain large-scale data structures, ETL pipelines, and data marts for real-time and batch analytics. Collaborate with Data Science to productionize models, ensure data quality and accessibility, troubleshoot systems, and recommend tooling and architecture improvements.

Design, build, and maintain large-scale data structures, ETL pipelines, and data models to support analytics and reporting. Collaborate with Data Science to operationalize models, optimize Hadoop/HDFS workflows, ensure data quality, and deploy backend services into production.

Design, build, and maintain large-scale data structures, ETL pipelines, and data marts. Collaborate with Data Science to operationalize models, perform SQL/Python analysis, optimize BigQuery queries, ensure data quality, and support analytics and modernization initiatives across healthcare and retail domains.

Build and manage large-scale data structures, pipelines, and ETL workflows; design databases and data marts; integrate data for analytics and Data Science; optimize Hadoop/Spark and cloud environments; collaborate with Data Science to operationalize models; test, troubleshoot, and recommend tooling. Hybrid role near Irving, TX.

Design, build, and maintain large-scale data structures and ETL pipelines using Hadoop/Hive, SQL, Python/Java. Support real-time and offline analytics, create data marts/models, integrate data sources, ensure data quality, collaborate with Data Science, and produce reporting/BI outputs.

Design, build, and manage large-scale data structures, ETL pipelines, and data marts. Implement real-time and batch processing, ensure data quality and accessibility, integrate models with automated pipelines, optimize Hadoop/HDFS queries, and recommend tools and solutions to support analytics and Data Science needs.

Design, build, and maintain large-scale data structures, ETL pipelines, and data architectures. Integrate data sources, ensure data quality and accessibility, support data science and analytics, optimize Hadoop/HDFS workflows, and collaborate on backend services and ML infrastructure.

Design, build, and maintain large-scale data structures, pipelines, and ETL workflows. Integrate data from varied sources, ensure data quality and privacy, collaborate with data science to operationalize models, optimize queries and Hadoop-based systems, and support analytics, reporting, and modernization initiatives.