Top Data Engineer Jobs in Portugal

Design, develop, and maintain large-scale data pipelines and ETL processes. Implement and optimize data storage and processing on BigQuery/GCP, ensure data quality and monitoring, participate in code reviews, mentor junior engineers, and help launch data-driven tools.

The R&D Engineer Intern will design machine learning pipelines, translate research into products, and develop microservices for biomedical engineering applications.

Lead and deliver complex data science and mathematical projects for DoD clients: design ML and statistical models, develop algorithms, perform EDA, integrate solutions, create dashboards and reports, mentor staff, and ensure compliance with DoD standards while driving research and innovation.

Design and build operational data systems, including pipelines, storage layers, and APIs for near real-time enforcement and insights, balancing streaming and batch paradigms.

Design, build, and maintain data ingestion pipelines and integrations from intermittently-connected robots to analytics, ML training, and operations. Implement SDKs, connectors, schema contracts, retries, backfills, monitoring, and optimize pipeline performance, scalability, and cost. Collaborate with robotics, autonomy, and deployment teams to ensure reliable end-to-end data delivery and quality.

Build and operate the cloud foundation for the data platform: design compute, storage, and networking; manage IaC and GitOps; provision for large-scale sensor and ML workloads; own reliability, security, observability, cost management, and internal tooling to enable pipeline and analytics teams.

Design and build a scalable data platform and tooling for robotics/autonomy data ingestion, integration, and delivery. Build SDKs, connectors, and APIs (REST/gRPC, webhooks, CDC) to integrate diverse sources and downstream ML/BI systems, ensure schema/versioning/reliability, and optimize pipeline performance, scalability, and cost.

Lead the architecture of core data processing systems for Snowflake, focusing on distributed systems and high-performance data transformation, ensuring efficiency and reliability at scale.

As a Data Engineer, you'll architect and build large-scale data infrastructure for real-time search, handling massive data volumes efficiently.

The Staff Data Engineer will design and enhance data architectures, lead complex initiatives, mentor teams, and ensure data quality and governance across the organization.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

The Senior Software Engineer will focus on Lucene's distributed indexing and query capabilities, improve code features, and collaborate with a global team.

Build production ML and data systems to measure and improve data quality. Develop expert-matching, quality prediction, anomaly detection, and evaluation infrastructure. Convert messy signals into models, metrics, and product improvements while partnering with engineers and domain experts and owning systems from design to deployment.

As a Senior Staff Data Engineer, you'll set the technical vision for data architecture, lead initiatives across teams, mentor engineers, and ensure platform reliability, while integrating data systems with ML pipelines effectively.

The Senior Data Engineer will design and maintain predictive modeling pipelines, integrate data sources, and support data scientists and software engineers in building scalable applications using various technologies.

Lead the design and optimization of enterprise-scale data warehousing and analytics solutions, utilizing Snowflake and advanced SQL for global business operations and decision-making.

Design, build, and optimize scalable data ingestion and transformation pipelines in a medallion (Bronze/Silver/Gold) architecture on Microsoft Fabric/OneLake. Ensure HIPAA-compliant, multi-tenant data isolation, data quality monitoring, lineage and governance. Partner with Data Science, ML Engineering, and Software Engineering to deliver feature stores, ML-ready datasets, and production-grade data delivery for analytics and scoring.

The Senior Data Engineer will design and optimize data pipelines, support MLOps initiatives, collaborate with teams, and ensure data quality for AI/ML projects.

Lead end-to-end analytics solutions: gather requirements with stakeholders, build production-quality ETL and visualizations, coach junior analysts, communicate progress and roadblocks, support proposals and pitches, and contribute to firm initiatives and client delivery.

Embedded on client-facing teams to research labor markets and workforce data. Acquire and clean public and proprietary data, build custom scraping and analytical tools, and apply ML/NLP/LLM techniques to produce talent intelligence and actionable recommendations for clients.

Develop scalable data solutions and algorithms, mentor junior engineers, and enhance data models for business needs in a collaborative environment.

The role involves developing large-scale data processing pipelines, automating data selection, and collaborating on ML model improvements to enhance vehicle performance and safety.

The Lead Data Platform Engineer will design and implement scalable data platforms, maintain data solutions, mentor junior engineers, and collaborate across teams.

Design, build, and maintain scalable data warehouses, marts, and BI reporting; create robust data models and pipelines; perform audits and data quality tests; collaborate with cross-functional teams to provide single-source-of-truth analytics and support business decision-making. Requires active security clearance.

Design and deliver high-value human data and evaluation projects for LLMs. Partner with model teams, build tooling to measure data effectiveness, maintain data integrity, design annotation workflows, run evaluations, and scale Human Data operations to improve model quality and truthfulness.