Top Data Engineer Jobs in Portugal

As a Distinguished Data Engineer, you will lead projects on the File Transfer platform, mentor engineers, promote engineering excellence, and ensure secure data handling across complex systems.

Design, build, and maintain high-throughput data processing services, focusing on streaming and batch data systems to enhance player experiences.

The Senior Software Engineer in Data Engineering will design and maintain data processing services, ensuring scalability and performance for a game analytics platform, collaborating with various teams to deliver insights for stakeholders.

Design, build, and maintain data processing services focusing on ingestion. Collaborate with teams to provide data insights, ensuring performance and scalability.

Transform foundational research into scalable systems and algorithms, implement efficient learning methods and optimize high-performance data pipelines.

Lead the development and ownership of data analytics capabilities, design data pipelines, ensure system performance, and collaborate across teams for data solutions.

Lead design and implementation of shared, reusable analytics data models and pipelines. Drive standardization, governance, observability, and CI/CD for analytics; partner with Data Science, Infrastructure, and Product to certify metrics, modernize orchestration, and integrate AI-native tooling.

The Senior Data Engineer will design and build scalable data lakehouse solutions, integrate data pipelines, develop data models, manage AWS infrastructure, and collaborate with teams to enhance the data platform.

The Data Automation Engineer will identify automation opportunities, design and build solutions across cloud platforms, and engineer production-ready jobs using multiple programming languages while tracking automation impact.

The Senior Data Engineer will design and maintain ETL pipelines, integrate operational data, and create analytics to enhance decision-making for AI Ops.

Lead design, build, and maintain scalable data pipelines and warehouses. Drive technical roadmap, mentor engineers, implement data quality/testing/monitoring, optimize performance and cost, and collaborate cross-functionally to ensure reliable data for BI, ML, and applications.

Design, build, and operate the core data warehouse, ingestion, orchestration, and cataloging platform. Develop batch and streaming pipelines, ensure data quality, governance, observability, and provide ML data platform capabilities. Lead architecture, improve platform reliability and performance, and collaborate with product, engineering, data science, security, and compliance teams.

Design and maintain data pipelines; optimize performance; manage data storage solutions; mentor team members, and stay updated with technologies.

The Software Engineer will develop customer-facing APIs, design an alerting platform, optimize SQL queries, and collaborate on data exploration tools.

Design and manage data pipelines for healthcare clients, ensuring compliance with data regulations, and transforming health data into actionable formats.

Design, build, and optimize data architecture and pipelines, ensuring data quality and integrity while supporting advanced analytics and reporting efforts.

Lead design and implementation of scalable, HIPAA-compliant data pipelines and platforms for healthcare ML. Build ETL, orchestration, and tooling for processing EHR, claims, pharmacy, and bioinformatics data; collaborate with data scientists to produce modeling-ready datasets and ensure data quality, reliability, and operational excellence.

Lead design and deliver cloud-based data engineering solutions across Agile teams. Build, test, and support full-stack data systems using big data, streaming, and cloud technologies; mentor engineers and ensure high-performance, well-tested code.

The Staff Data Engineer will design and implement a unified semantic data layer, integrating heterogeneous data sources and enabling AI interactions while ensuring security and compliance across the organization.

The Senior Data Engineer will design and develop data pipelines, collaborate with teams globally, implement ETL frameworks, innovate AI integrations, and contribute to technology roadmaps in cancer care.

The Staff Data Engineer will enhance the Enterprise Data Platform, driving data-driven decisions through data modeling, warehousing, and visualization, while managing projects and coaching junior staff.

The Staff Data Platform Software Engineer will enhance and maintain the Veza Access Graph, focusing on backend services, APIs, and cross-functional collaboration to optimize identity security features.

As a Staff Data Platform Software Engineer, you will enhance and maintain the Veza Access Graph, optimizing backend services, collaborating on product features, and driving data management innovation.

The Senior Data Engineer will build and maintain data pipelines, optimize data processing, and ensure data privacy and quality within the healthcare tech space.

The Senior Data Engineer will design and maintain data pipelines, build reusable data sets, validate data integrity, and ensure user privacy and security. This role requires strong expertise in SQL and Python, and familiarity with AWS and various data technologies.