Top Data Engineer Jobs in Portugal

Design and build reliable, scalable data analysis libraries, applications, and pipelines for telemetry, production, and launch data. Collaborate on architecture and code reviews, prototype solutions, own full software lifecycle, and work with domain experts to apply data science and machine learning to production problems.

Lead modernization of a legacy Oracle system to PostgreSQL: design migration pipelines, implement automated reconciliation and CDC workflows, interpret PL/SQL business logic, build full-stack features (React UIs, Node APIs), ensure financial-grade data integrity, and vet agent-generated code for federal compliance.

Lead modernization of a legacy Oracle system into a single-schema PostgreSQL platform. Design repeatable migration pipelines, implement automated reconciliation and data-quality checks, extract business rules from PL/SQL, build CDC workflows and analytics stores, and develop full-stack features (TypeScript/Node.js/React) while overseeing AI-agent-generated code and ensuring federal financial audit-grade integrity.

Own and build the data platform: design real-time ingestion, schemas, and pipelines for high-volume ML jobs; consolidate and cleanse messy datasets; enable agent context and developer access to analytics.

Lead design, implementation, and governance of an AWS Lakehouse platform using Medallion architecture. Build and optimize batch and real-time pipelines, enforce data quality and privacy (PII tokenization, Lake Formation), drive DataOps/CI-CD, support Customer 360/MDM, mentor a small team, and serve as incident commander for platform operations.

As part of the Data Science and Analytics team, the Data Scientist will drive data-informed decision making and improve developer productivity by analyzing metrics, conducting causal analyses, and presenting actionable insights to stakeholders.

The Staff Data Engineer will lead financial data operations, ensuring accuracy and reliability of data pipelines, while collaborating with Finance, Product, and Engineering teams to enhance systems and decision-making processes.

The Senior Data Engineer designs and optimizes data pipelines for marketing analytics, ensuring data accuracy and collaborating with teams to meet reporting needs.

Design, implement, and maintain automated data testing and validation frameworks to ensure data integrity across ETL/ELT pipelines and reporting. Develop reconciliation, profiling, and automated test scripts; embed quality controls into Snowflake, Oracle, and AWS pipelines; support test environment strategy and governance; collaborate with engineers, QA, and stakeholders to improve DataOps, monitoring, and reporting validation while mentoring junior team members.

Lead design and delivery of enterprise-scale data ingestion pipelines that prepare structured and unstructured content for RAG/LLM workloads. Define transformation, enrichment, chunking, classification, lineage, governance, security, and operational patterns; partner with platform and RAG engineers; create reusable architectures, standards, and operational observability; mentor engineers and influence cross-team technical strategy.

The Senior Data Engineer will design, build, and optimize data pipelines and models, lead a team, and work with stakeholders to deliver data-driven solutions for a Federal client.

Design, build, and maintain enterprise data integration and BI solutions on Microsoft Fabric and Power Platform. Develop ETL/ELT pipelines, APIs, dashboards, and governance artifacts, while supporting data quality, monitoring, and stakeholder collaboration to deliver scalable analytics and integration solutions.

Lead design and implementation of Databricks/Azure data solutions to ingest, store, transform, and distribute large-scale retail data. Own features through the SDLC, mentor engineers, lead cross-functional collaboration, build REST APIs on Kubernetes, execute testing, and set technical strategy with Product, Data Science, and Architecture.

Serve as the technical lead for Acceldata's Hadoop observability and open data platform in pre-sales: deliver demos, design solutions, run POCs, craft technical proposals/SOWs, collaborate with sales/product/engineering, and support closing deals while educating internal teams and producing technical documentation.

The Senior Data Engineer will build and deploy data pipelines, develop warehouse architectures, and design analytics solutions for the team.

As a Senior Data Engineer, lead data engineering efforts, design data solutions, optimize data workflows, and mentor junior engineers, focusing on cloud-based systems.

The Sr. Data Engineer designs and optimizes data pipelines, develops automated systems for data insights, and collaborates with teams to maintain data integrity and model complex datasets.

The Senior Data Engineer will architect and build ELT/ETL pipelines, optimize data workflows, and implement data quality frameworks for AI projects.

The Infrastructure Data Engineer will lead the design and implementation of data platforms, ensuring data integrity and efficiency while mentoring junior engineers and collaborating with other teams.

As a Senior Software Engineer, design, build, and maintain backend functionality for scalable multi-tenant services focused on data storage and retrieval. Lead technical initiatives, collaborate across teams, and ensure system reliability and performance.

Develop and apply data analytics and predictive methods to improve system performance and manufacturability in semiconductor manufacturing. Engage in system integration, collaborate with teams, and support production ramp using analytical insights.

Support and improve print/mail and mainframe printing systems for reliability and performance. Design and implement infrastructure provisioning, CI/CD pipelines, monitoring/alerting, incident response, and capacity planning across cloud and on-prem environments. Collaborate with development, platform, and operations teams and automate operational tasks to reduce toil. On-site role in Norcross, GA requiring authorization to work in the U.S.

As a Senior Full Stack Engineer, you will develop scalable backend services and frontend applications while collaborating with various teams to optimize and deploy features.

The Senior Data & AI Engineer will design, build, and deliver data-driven features, leveraging AI to improve user experiences, while collaborating with stakeholders and ensuring high-quality data solutions.

The role involves designing scalable data pipelines for 3D, video, and sensor data, optimizing infrastructure, and productionizing ML models with researchers.