Top Data Engineer Jobs in Portugal

The Senior Data Engineer designs, builds, and operates data pipelines, develops ETL/ELT solutions, and ensures data delivery integrity for analytics.

Build and maintain systems for data collection, storage, processing, and analysis. Collaborate with data scientists for model deployment and ensure data integrity and security.

The Senior AWS Cloud Data Engineer will design, develop, and maintain data infrastructure solutions, collaborate across teams, mentor juniors, and ensure system reliability and scalability.

The Cloud Data Engineer will design and develop data warehouse solutions, create efficient data pipelines, collaborate with teams, and monitor system health.

Build and operate scalable data pipelines and analytics-ready datasets using Python, dbt, and BigQuery. Develop Looker dashboards, ensure data quality and observability, optimize performance and cost, integrate data workflows with backend services and CI/CD, and support analytics, experimentation, and production use cases.

The Data Engineer will design, build, and maintain data pipelines using Snowflake and dbt, collaborating with business functions to transform data into actionable insights.

The Data Engineer/Software Engineer will implement data-driven solutions, develop data pipelines, and utilize AWS data services like Glue and Athena for analytics.

Design and build platforms and solutions for data management, including ETL and data warehousing, while mentoring team members and ensuring system security.

As a Senior Site Reliability Engineer, you'll ensure the reliability and performance of a Kubernetes-based data platform, focusing on scaling infrastructure, enhancing security, and optimizing deployment processes.

As a Data Engineer, you'll build and support enterprise-scale data pipelines, ensuring data accuracy and quality while collaborating with various teams in an Agile environment.

The Data Engineer will build automated pipelines, harmonize messy data, and integrate data operations with an AI mindset. Responsibilities include developing robust workflows, optimizing data processing, collaborating with teams, and maintaining operational excellence.

The Senior Software Engineer designs, develops, and maintains data pipelines using technologies like Snowflake and Azure, working closely with a team to ensure efficient integration and processing of diverse data sources.

The Data Engineer will design, develop, and maintain scalable ETL pipelines, build PostgreSQL databases, and implement automation workflows while collaborating with cross-functional teams to support DoD programs.

Hands-on senior backend/data engineer responsible for designing, building, and scaling backend features, ETL pipelines, data models, and Looker dashboards. Serve as data engineering SME, optimize schemas and ingestion, implement data quality and monitoring, and mentor team members while partnering with product and customer-facing teams.

The Senior Core Data Engineer will process large data sets using Java, Hadoop, and NoSQL technologies, utilizing production-level experience for data ingestion, processing, and deployment.

Design, build, and maintain scalable GCP data pipelines using Airflow, Dataflow (Apache Beam), and BigQuery. Ingest and transform massive datasets, optimize pipeline performance, ensure data quality/security, and collaborate with data teams to troubleshoot and deliver reliable analytics solutions.

The Data Engineer will develop and maintain ETL processes using Python and Azure Synapse, ensuring data quality, performance optimization, and documentation.

As a Data Engineer, you will build and optimize data pipelines, manage ETL workflows, and ensure efficient data access and quality within the infrastructure.

As a Data Engineer, you'll create and maintain data pipelines, optimize data architecture, and support analytics tools for performance insights.

The Data Engineer will lead and implement big data solutions, focusing on data architecture, code development, and maintaining long-term support. Responsibilities include collaborating with teams to design data pipelines and automating tests, while also mentoring team members and consulting on analytics solutions.

Lead design and build scalable data ingestion and feature pipelines for foundation models; implement data quality monitoring; model and integrate new data sources; run experiments measuring data impact; optimize ML training and hyperparameters; collaborate with ML, platform, and infra teams; lead technical initiatives and mentor team members.

The AI Knowledge Data Engineer will design and implement AI systems using LLMs, build data pipelines, and develop knowledge representation solutions for enhanced information retrieval and processing.

The Data Engineer designs and implements data solutions using AWS and Azure technologies, manages projects, interfaces with clients, and ensures documentation and testing for successful hand-offs.

The Lead Platform Data Engineer will design data architecture, develop scalable workflows, ensure data quality, and mentor teams in modern DataOps practices.

Role involves architecting and optimizing data pipelines, building infrastructure as code, ensuring data reliability, and collaborating with cross-functional teams to deliver quality data products.