Top Data Engineer Jobs in Portugal

Design and build data infrastructure to support machine learning applications, ensuring data accessibility, governance, and real-time processing while collaborating with data scientists and engineers.

The Data Developer / BI Analyst designs and builds data models and pipelines, optimizes ETL processes, and develops interactive Power BI dashboards for actionable insights in the organization.

The Data Developer/BI Analyst designs and optimizes data models and pipelines, develops Power BI dashboards, and ensures data integrity for informed business decisions.

The Data Engineer designs, builds, and operationalizes end-to-end data delivery solutions and manages data pipelines, ensuring quality and adherence to business needs.

The Data Developer/BI Analyst designs and optimizes data models, builds ETL processes, and creates Power BI dashboards to support data-driven decision-making across the organization.

The Principal Data Engineer will design and maintain data systems, evaluate technology solutions, mentor team members, and communicate effectively with stakeholders.

The role involves leading data exploration and analytics projects, engaging with clients, and utilizing technologies like Python and Foundry for defense strategies and solutions.

As a Data Engineer, you'll design and maintain data models and pipelines, collaborate with teams, and ensure data quality for analytics applications.

The Software Data Engineer will develop and modernize ETL pipelines, integrate cloud infrastructure, and support mission data management for defense operations.

The Data Engineer designs and maintains data pipelines for advanced analytics in supply chain, ensuring data quality and reliability while collaborating with cross-functional teams.

As a Data Engineer at Veeva, you will design and build robust data processing systems, implement ETL workflows, manage data architecture, and ensure data governance while collaborating with cross-functional teams.

Own and evolve data pipelines and cloud infrastructure, maintain DevOps workflows and platform reliability, support internal applications, partner with Product on roadmap and tradeoffs, and proactively remove platform bottlenecks to enable faster delivery.

In this role, you'll build and scale high-throughput data pipelines, ensure data quality, and leverage AI for improved data operations. You'll also lead initiatives in a fast-paced environment focused on real estate data engineering.

The Senior Data Engineer will design data models, build and manage ETL pipelines, contribute to data governance, and explore integrations with AI. Responsibilities include collaboration with teams to ensure data quality and consistency.

The Data Engineer Principal role involves designing and delivering data science solutions, creating data architectures, and optimizing data pipelines while ensuring compliance and leveraging big data technologies.

As a Senior Data Engineer, you'll deliver high-quality data platforms, implement new features, maintain functionality, conduct code reviews, and collaborate with teams to meet requirements.

The Senior Data Engineer will develop and maintain a high-quality data platform, implementing features, performing code reviews, and collaborating with teams to meet requirements.

As a Senior Data Engineer, you'll develop and maintain a robust data platform, collaborate on software solutions, and ensure code quality while working with modern data architectures and Agile methodologies.

The Data Center Engineer II role focuses on managing data center assets, leading global projects, overseeing infrastructure design, hardware lifecycle, and vendor management while ensuring technical accuracy and operational efficiency.

As a Senior Lead Data Engineer at Capital One, you'll lead development efforts in cloud-based solutions, foster collaboration across Agile teams, and drive data technologies adoption. You'll leverage tools and languages like Java and Python while mentoring other engineers.

As a Lead Data Engineer at Capital One, you will design, develop, and support technical solutions, collaborating with Agile teams, utilizing various programming languages and cloud-based technologies, while driving transformation in data and analytics.

The Technical Services Engineer collaborates with teams to support customers using mParticle's SDKs and APIs, ensuring satisfaction and timely issue resolution, while participating in testing and on-call support.

Own operational support and optimization of enterprise data warehouse systems on AWS. Build and maintain scalable batch and streaming ETL/ELT pipelines, lead incident management and RCA, implement CI/CD and IaC, collaborate with cross-functional Agile teams, and provide shift-based on-call support while evaluating Generative AI integration opportunities.

The Senior Data Engineer will lead data architecture design, build reliable data pipelines, mentor team members, ensure data quality, and optimize ETL processes.

As a Lead Data Engineer, you will design scalable data platforms, optimizing pipelines, defining data models, and guiding data integration while collaborating with cross-functional stakeholders to align strategies with business goals.