Top Data Engineer Jobs in Portugal

As a Senior Software Engineer at Ripple, you will design distributed backend services, migrate business logic, and mentor engineers, ensuring reliable customer onboarding across products.

The Principal Software Engineer will design and build APIs, optimize database architecture, enhance performance, and collaborate on cloud infrastructure for scientific applications.

Design and build secure, scalable APIs and data systems for clinical platforms. Ensure data integrity and collaborate with cross-functional teams.

Maintain data architecture and flow for systems, collaborate with external users, manage system enhancements, and support system operations.

As a Software Engineer in Data Infrastructure at Figma, you will design and manage large-scale data systems, ensuring reliability and scalability while collaborating with diverse stakeholders to build high-performance data platforms.

The Senior Data Infrastructure Engineer will design, build, and operate Decagon's data systems, optimizing pipelines and infrastructure, collaborating with teams to enhance performance and reliability of data solutions.

Design and build scalable, fault-tolerant query engines and integrations with modern data lake formats; optimize query execution using vectorized processing, cost-based optimization, and caching; extend or contribute to open-source platforms; collaborate with product, data science, and engineering teams to align solutions with business needs.

Build systems for Mercor's hiring engine, including pipelines for indexing, sourcing, scoring, and conversion. Work with ML and backend technologies.

As a Senior Data Engineer, you'll architect the data warehouse, manage data pipelines, and ensure data quality while collaborating with data science and engineering teams.

Design, build, and optimize large-scale data pipelines, ETL processes, data models, and data warehousing solutions. Manage and tune databases (SQL and NoSQL), lead big data and cloud implementations (Snowflake, Fivetran, dbt, Airflow), apply DevOps and containerization for data workflows, and mentor junior engineers to deliver scalable data processing and actionable insights.

Design, build, and operate an end-to-end data product supporting Sales across Europe. Develop and maintain Azure-based data pipelines, implement reporting layers (e.g., Power BI), ensure production readiness with monitoring and documentation, and partner with Sales, Finance, Data Scientists, and analysts to deliver reliable, scalable data solutions.

Design, build, and maintain high-volume data pipelines and integrations between Oracle Cloud Financials and the enterprise data ecosystem (Azure Data Lake, Snowflake). Ensure secure, compliant financial data flows, support reporting infrastructure, act as Tier 3/4 escalation for incidents, and lead integration workstreams through implementation and continuous improvement using scripting, DevOps, and automation.

The Data and Analytics Engineer will build and maintain scalable ELT pipelines, leveraging data for analytics and reporting within the Snowflake data architecture.

Design, build, and optimize high-throughput data pipelines and infrastructure for Defense Health. Develop RESTful APIs and cloud data solutions (AWS), apply DevSecOps and TDD, use Python, Trino, Spark, dbt, and Rancher Kubernetes, and collaborate with stakeholders to deliver secure, production-grade analytics services.

The Senior Data Engineer will design scalable data processing frameworks using Java and Apache Spark, manage data pipelines, and mentor junior engineers.

The Senior Data Engineer will design scalable data architectures and pipelines for AI solutions, focusing on real-time data processing and IoT telemetry, while leading DataOps practices and collaborating with cross-functional teams.

Collaborate with teams to develop ETL and data integration processes, troubleshoot data issues, and ensure best practices in data management and modeling.

Lead design, build, and maintain scalable data pipelines and infrastructure. Collaborate with analysts and data scientists, ensure data quality, optimize performance, troubleshoot issues, document architecture, and mentor junior engineers.

As a Data Engineering Architect, lead the transformation of data engineering into a modern platform, oversee architecture and technical leadership, design scalable systems, ensure data quality and governance, and mentor teams for a data-driven culture.

Design and build data infrastructure and data pipelines, focusing on big data processing, modeling, and automation to support engineering teams at NextSense.

Analyze existing systems, design cloud-ready data processing workflows, develop specifications and migration tools, validate implementations via automated testing, and report progress. Collaborate with stakeholders and developers to optimize BI/reporting solutions and complete relevant technical training.

Design, analyze, and migrate enterprise data systems to cloud platforms; create specifications, workflows, and migration tools; collaborate with developers to implement and verify solutions using automation and testing (e.g., Playwright); report implementation status and complete technical training and certifications.

Design, build, and optimize scalable ETL/ELT pipelines and cloud data platforms. Integrate data from SQL Server, Yardi, Salesforce and APIs into AWS (S3, Redshift). Collaborate with analytics, data science, and business teams to deliver trusted datasets, ensure data quality and governance, and implement DevOps, CI/CD, and infrastructure automation for operational excellence.

Design, implement, and maintain geometry algorithms, mapping data formats, validation frameworks, and post-processing pipelines. Build and grow APIs consumed by downstream teams, collaborate cross-functionally, produce documentation and tests, and contribute across the software development lifecycle to support vehicle localization and mapping.

The Data Analytics Platform Engineer will design, build, and maintain data pipelines and scalable platforms, leveraging technologies to derive insights from gathered data for various mission-driven projects.