Top Data Engineer Jobs in Portugal

Build, operate, and scale governed data pipelines and curated lakehouse datasets on Azure to support analytics, operational intelligence, and AI-enabled use cases. Deliver production-ready PySpark/SQL transformations, manage pipeline monitoring and performance, document lineage and business rules, and collaborate with stakeholders to ensure secure, governed, and reusable data products.

The role involves building large-scale data systems for robotics AI training, focusing on data pipelines, storage, and workflows.

As a Data Scientist/Machine Learning Engineer, you'll finetune models, improve data quality, add new signals, and push solutions to production.

Design and build scalable log ingestion pipelines, ensure system reliability, and optimize performance in a high-throughput environment.

This role involves designing and implementing large-scale big data platforms using Java and various big data frameworks, along with integrating systems and managing databases.

Lead strategy and operations for on-prem Kafka and support Perforce-based asset version control. Maintain mission-critical Linux services, automate with scripting and IaC, troubleshoot complex issues, coordinate with production/engineering/vendors, mentor teammates, and participate in on-call rotations.

The Big Data Engineer role requires strong hands-on experience with Big Data technologies, AWS services, and programming in Java or Scala.

Lead design and build scalable, secure data platforms and pipelines for AI/ML. Own ingestion, transformation, storage, quality, monitoring, and real-time/batch processing. Collaborate with data scientists and ML engineers, drive data modeling and MLOps best practices, ensure governance and mentor junior engineers.

As a Lead Data Engineer, you'll optimize data workflows, manage data engineering projects, mentor junior engineers, and ensure robust data solutions meet business needs.

As a Data Platform Engineer/Platform Lead, you'll design, support, and optimize data platforms for digital products while collaborating with cross-functional teams and managing complex DevOps initiatives.

Seeking Data Platform Engineers to design, build, and manage scalable data pipelines and analytic query engines while ensuring data integrity and performance optimization.

Own and architect the semantic layer and metrics/metadata for the data platform (Databricks/GCP). Build AI-ready models, enforce modeling and documentation standards, implement observability/testing for pipelines, enable self-serve analytics, and collaborate across product, clinical, and business teams to translate questions into reliable data solutions.

Develop and optimize end-to-end data pipelines for autonomous driving, ensure data quality, and support model training through efficient data management processes.

Design, build, and operate scalable data and AI platform capabilities. Create reusable abstractions, templates, and services for data pipelines and products. Integrate Generative AI for discovery and automation, ensure data quality, lineage, observability, security, and support cross-functional analytics and applied-AI teams.

Technical lead for Finance Technology data engineering: design and build scalable batch and real-time data pipelines (Hadoop/Spark/PySpark/Scala/Java), optimize data models and APIs, drive cloud-based data architecture (AWS/GCP/Azure), enforce governance/security, and mentor engineers to deliver enterprise financial data services.

Lead development of a long-term enterprise data quality strategy for cloud environments. Build data inventories, implement profiling scripts, anomaly detection, field validation rules, lineage checks, and completeness scoring. Develop governance policies, stewardship standards, and access controls while coordinating with platform engineers, cybersecurity, and mission teams to maintain metadata and catalog traceability.

Partner with Sales to design and demo AI-powered, data-driven solutions for life sciences clients using Komodo's Healthcare Map. Run live no-code analyses, build reusable demo assets, navigate AI governance and procurement, quantify ROI, mentor junior SEs, and feed product/AI roadmap input.

Lead design and delivery of scalable Data and AI solutions, mentor engineering teams, drive GenAI proof-of-concepts, align technical strategy with business goals, and influence cross-functional stakeholders.

Senior Data Engineer responsible for designing and implementing data solutions, ensuring data quality, and optimizing data systems.

The Staff Software Engineer will lead the evolution of Slickdeals' data engineering ecosystem by architecting scalable platforms, maintaining data workflows, and mentoring engineers in a collaborative environment.

The Data/AI Cloud Engineer will implement AWS data services, build ETL pipelines, optimize databases, and support data-driven solutions collaborating with technical teams.

Design, build, and operate scalable, secure data infrastructure including access control, financial reporting pipelines, cloud storage reliability, and data platform tooling. Collaborate with data scientists, analysts, and stakeholders to ensure data integrity, performance, cost-efficiency, compliance, and rapid recovery at petabyte scale.

Lead architecture and build control plane services for a petabyte-scale compute platform. Design multi-tenant resource management, intelligent scheduling, GPU and AI/ML workload orchestration, and Kubernetes operators. Drive integration with infrastructure teams, lead code reviews, set standards, and mentor engineers to deliver production-grade distributed systems.

As a Research Engineer, you conduct pioneering research in autonomous systems and develop models using large-scale data and advanced simulators, collaborating with scientists and contributing to high-quality publications.

Lead airworthiness data strategy including analytics, visualization, digital standards, and integration into the Digital Engineering Ecosystem. Drive policy and standards development, data governance, taxonomy/metadata improvements, training, and cross-functional coordination to support airworthiness certification and modernization.