Top Data Engineer Jobs in Portugal

The role involves building data infrastructure, maintaining ETL pipelines, collaborating with analysts, and improving data models and processes.

The Senior Data Center Linux Engineer manages Linux servers, troubleshoot issues, develops automation scripts, ensures secure configurations, and deploys containerized applications.

The Sr. Network Data Center Engineer will design and manage network infrastructure, ensuring high availability, security, and performance for virtual environments and storage systems.

Build and improve Radar's data infrastructure with a focus on customer feedback and successful implementation. Engage with customers to enhance their experience and deploy new solutions.

The Senior Data Engineer will manage data pipelines, design data infrastructure, implement ETL processes, and ensure high data quality across teams.

The role involves building and maintaining financial data pipelines in Databricks, bridging Snowflake, and ensuring data accuracy for finance reporting.

As a Founding Data Engineer, you'll build ETL pipelines, design scalable data models on AWS, and process complex healthcare data to improve patient care.

Build and maintain ETL pipelines and workflows to process cloud billing data. Design data storage systems and develop validation systems to ensure data quality.

As a Data Engineer I, you'll build and maintain data pipelines for climate and weather datasets, working closely with senior engineers and contributing to design discussions and documentation.

As an AWS Data Engineer, collaborate with teams to build data products, write efficient PySpark and SQL queries, and manage project deliveries.

The Data Engineer will build and maintain the data platform, optimize data transformations, implement data governance, and collaborate on data assets to ensure data-driven decision making.

The Cloud Data Engineer will design, implement, and manage data solutions on Microsoft Azure, create and maintain data pipelines, and ensure data security for decision-making processes.

As a Principal Data Engineer, you will design and maintain data infrastructure, develop pipelines, integrate healthcare data, and innovate AI-driven solutions.

As an AI Data Engineer, you will build automated data pipelines using Microsoft technologies, implement Medallion Architecture, and develop data transformations. You'll work closely with stakeholders to create scalable data solutions for AI applications.

As a Data Engineer at Guidehouse, you will build and maintain data pipelines, optimize cloud-based solutions, and collaborate with teams to deliver scalable data architectures and analytics platforms.

Lead technical strategy for data architecture, build and optimize ETL/ELT and streaming pipelines, establish observability and data quality standards, mentor engineers, drive large-scale cross-team designs, and deliver self-serve data products for analytics and ML.

The Lead AI Enterprise Data Engineer will build scalable data pipelines, AI models, and dashboards for eCommerce analytics, enhancing platform reliability and engineering productivity.

The Principal Data Engineer will provide technical leadership, design complex software architectures, mentor teams, and drive data engineering best practices within the organization.

The Principal Data Engineer designs and maintains scalable data systems, evaluates new technologies, mentors junior engineers, and leads data engineering initiatives in agile environments.

The role involves building and managing robust data pipelines, optimizing data infrastructure, ensuring data quality, and integrating operational data systems. Collaboration with stakeholders and applying engineering best practices are essential, including expertise in cloud computing and various data formats.

The Data Engineer will develop tools and code for data engineering activities, support data transport and ingestion, and work alongside Data Scientists. The role requires hands-on coding and ETL responsibilities, ensuring data is correctly formatted for analysis.

As a Principal Data Engineer, you'll design and maintain scalable data pipelines and frameworks using Azure technologies while collaborating with various teams to ensure data products support business decisions.

Develop custom connectors on Airbyte for data ingestion from various platforms, ensuring accurate data integration and transformation. Collaborate with stakeholders and perform testing for reliability.

As a Data Engineer at OpenAI, you'll design and implement data pipelines, develop key datasets, and collaborate with teams to integrate data for People Innovation Labs' products.

The Snowflake Data Engineer and Product Owner will manage the Snowflake data analytics project, collaborating with stakeholders, leading Agile practices, and ensuring quality deliverables through effective team coordination and backlog management.