Top Data Engineer Jobs in Portugal

As a Software Engineer in Data, you will enhance core product experience, optimize integrations, manage data systems, and support scalable services.

As a Senior Lead Data Engineer, you'll lead development teams, design technical solutions, utilize big data and cloud technologies, and drive transformation initiatives.

Lead the design and implementation of technical solutions using big data technologies. Collaborate with teams to deliver cloud-based data solutions and support Agile practices.

Lead design and build scalable, low-latency, fault-tolerant data platforms and pipelines. Mentor engineers, influence data architecture and governance, build analytics stores using big-data and cloud technologies, collaborate with product and security teams, and ensure CI/CD, resiliency, testing, and performance for data-driven solutions.

As a Data Engineer II, you will design and support ETL/ELT data pipelines, work with AWS, Snowflake, and collaborate within an Agile team on data initiatives.

Design and build Starlink's commercial operating system by identifying go-to-market bottlenecks, architecting scalable systems and AI-powered workflows, integrating CRM and data platforms, improving commercial data quality, and enabling data-driven decision-making to drive revenue and operational efficiency.

The Python Data Engineer will enhance data assets, drive requirements for data ingestion and access, and maintain code quality and tools in a dynamic office environment.

The Forward Deployed Data Engineer will manage AI-automated data platform migration projects, ensuring timely delivery and communication with clients while utilizing proprietary tools.

As a Data Engineer, you will design and implement scalable data architectures, oversee integration and governance while collaborating on Master Data Management frameworks, to optimize data performance and drive innovation across the organization.

The Data Engineer will design and build scalable data pipelines, optimize data infrastructure, and collaborate with teams for data solutions in an eCommerce environment.

The Software Engineer II will design, build, and maintain robust data pipelines for advertising systems, focusing on data governance and compliance, collaborating globally, and troubleshooting distributed environments.

As a Data Engineer, you will design, build, and maintain data pipelines and workflows, transforming raw data sources into clean, reliable data streams for healthcare clients.

The Data Engineer will modernize and stabilize the data platform, optimize ELT/ETL pipelines, ensure data quality, and collaborate on AI architecture.

The Data Engineer designs and builds data pipelines for analytics, ensuring data quality, governance, and integration across systems, while collaborating with teams for effective delivery.

The data engineer will build and maintain data pipelines, implement data models, write quality checks, configure tooling, and resolve pipeline issues.

The Principal Data Engineer will lead architectural decisions in data infrastructure, focusing on high throughput, real-time systems, and AI integration, while mentoring staff and collaborating across teams.

The Principal Data Engineer leads the development of scalable data solutions, collaborates on product roadmaps, influences organizational change, and coaches junior staff in a hybrid work environment.

The Data Engineer will provide technical and analytical support for the Operational Test and Evaluation of US Navy Undersea Warfare systems, focusing on data management and analysis tasks.

Design, build, and maintain scalable ETL pipelines and data architecture to ingest, validate, enrich, and integrate chemical and biological threat data. Implement metadata management, data cataloging, access controls aligned with NIST SP 800-171, and automate data quality checks. Collaborate with software and ML teams, support knowledge graph construction, resolve legacy data issues, and participate in Agile ceremonies and training.

Design and implement scalable data pipelines and orchestration on GCP to support AI/ML-driven mail intelligence. Build stream and batch processing, ensure data governance and quality, optimize workflows, create visualizations, and collaborate with US cross-functional teams to align technical strategy and recover from failures.

Design, build, and maintain end-to-end data ingestion, processing, storage, and access solutions. Implement ETL/ELT pipelines, data modeling, data lakes/warehouses, APIs, monitoring, and documentation. Collaborate with data scientists, analysts, and stakeholders to deliver scalable, secure, production-ready data services.

Design, build, and maintain data structures, ETL/ELT pipelines, and data products. Support operational data processes, performance tuning, data governance, documentation, and stakeholder collaboration. Mentor junior staff and improve data platform quality and accessibility.

As a Software Engineer II on the Data Automation team, you will design and maintain the analytics infrastructure, collaborating with teams to ensure high system performance and reliability.

Design and build foundational dimensional data models, enterprise metrics, and curated data products on a modern lakehouse. Partner with business domains to translate processes into scalable, high-quality datasets, optimize analytical workloads, and operate distributed processing systems to support analytics, BI, and AI.

As a Backend Software Engineer, you will design and implement scalable services, focusing on API design and system architecture while mentoring team members.