Top Remote Jobs in Portugal

Maintain and expand Ocient's hosted data warehouse services with a focus on high availability, performance, observability, automation, security, and incident management. Build monitoring, logging, alerting, CI/CD, and automate Linux server deployments while supporting backup, DR, and test infrastructure.

The Sales & GTM Engineer facilitates pre-sales and GTM initiatives for APILayer's APIs by providing technical demos, onboarding tools, and cross-functional collaboration.

Lead redesign of core HR processes (onboarding, offboarding, job changes, leave), translate business needs into operational requirements, run workshops, document workflows/SOPs, partner with HR Ops/Tech/stakeholders, monitor process performance, and drive continuous improvement and adoption aligned to global HR strategy.

As a Technical Relationship Manager, you will guide enterprise customers in utilizing ControlUp's solutions, ensuring value and engagement, while providing technical expertise and support throughout the customer lifecycle.

Maintain and improve Glia's cloud-native infrastructure, ensure availability/security/performance, implement IaC and pipelines, add telemetry, troubleshoot issues, and consult teams and vendors.

The Senior Account Manager will manage and grow key wholesale telecom accounts in Asia, ME, and Africa, focusing on margin growth, strategic partnerships, and performance optimization through effective negotiation and market analysis.

The Engineering Lead will oversee multiple development teams, ensure solid software design, and implement best DevOps practices with expert leadership skills.

Design and maintain ETL/ELT pipelines and data warehouse architecture, analyze and visualize data with SQL/Python/R and BI tools, build machine learning models and A/B tests, and partner with engineering and business teams to deliver data-driven insights for fintech use cases (fraud detection, segmentation, forecasting).

Design, build, and improve ML models and production pipelines; collaborate with engineers, data scientists, and PMs; develop experimentation roadmaps; set up reproducible environments; monitor and maintain production models; document models and processes; propose and apply new AI/ML solutions.

Build and maintain trusted domain models from raw data to semantic layer. Define analytics engineering standards, extend dbt/warehouse and semantic tooling, integrate new data sources, partner cross-functionally, and deliver models that power commercial, financial, risk, and operational decisions.