Top Data Engineer Jobs in Portugal

As a Software Engineer III at GlossGenius, you will lead data engineering efforts, designing and implementing data models and pipelines while mentoring engineers and shaping the data platform's vision.

Manage data requirement and electrical change requests for the U.S. Navy Strategic Weapon System. Coordinate with contractors, lead pre-coordination meetings, develop and drive change requests, perform impact reviews on SPALT and contractor documentation, support technical resolution with SSP working groups, and implement changes into SSP documentation. Limited off-site travel may be required.

Build and scale customer-facing Analytics and Alerts APIs and near real-time alerting platform. Optimize analytical queries, collaborate with frontend/product teams, ensure reliability and run on-call for operational health.

Design, build, and operate a scalable logging and audit-log delivery platform. Develop high-performance connectors and integrations, ensure secure, compliant delivery to customer destinations, optimize pipeline throughput and latency, maintain operational health and monitoring, participate in on-call rotation, and collaborate on architecture and product requirements across teams.

Build and maintain high-throughput, low-latency distributed data systems across ingestion, storage, and retrieval. Optimize delivery pipelines, scale analytical database clusters (ClickHouse), develop GraphQL and log delivery solutions, monitor performance with observability tooling, troubleshoot production issues, and collaborate cross-functionally and with open-source communities to evolve the data platform.

Design and maintain data architecture and pipelines to support compliance and risk teams. Build and optimize data models, standardize metrics, and create data dictionaries. Implement data quality, lineage monitoring, AI-driven agents for false-positive reduction and automation, and participate in on-call rotations to ensure SLAs are met.

Lead the design and execution of a new enterprise data platform, ensuring metrics reliability and supporting AI-driven products, while mentoring engineers and collaborating across teams.

Lead Data Engineer designs, develops, tests, implements, and supports cloud-based data solutions. Collaborates with agile teams, mentors engineers, builds streaming and batch pipelines using big-data and cloud technologies, and ensures performant, well-tested code.

As a Sr. Lead Data Engineer, you'll collaborate across teams to develop technical solutions, lead developers, and utilize big data technologies and cloud services to support data transformations.

Own and operate the iMData platform: design and build Databricks-based ETL pipelines using PySpark and medallion architecture, create gold-layer star schemas, migrate assets from Synapse to Databricks, implement CI/CD and Terraform IaC, ensure data security and observability, mentor junior engineers, and collaborate with stakeholders and ML engineers to deliver production-grade analytics and AI-ready data.

Build and improve Radar's data infrastructure with a focus on customer feedback and successful implementation. Engage with customers to enhance their experience and deploy new solutions.

Lead design and standards for how R&D data is sourced, stored, governed and served for analytics. Assess and remediate data architectures, translate business needs into data/technology requirements, guide data migration design and implementation, and advise on on-premise and cloud data infrastructure for the analytics ecosystem.

Design, build, and scale the Veza Access Graph backend: develop graph features, improve performance, reliability, and APIs, collaborate cross-functionally, and implement monitoring, logging, and compliance capabilities for identity and access management at scale.

Lead Data Engineer will design, build, test, and support cloud-based data solutions and streaming systems. Collaborate with Agile teams and product managers, mentor engineers, implement big data tooling (Spark, Kafka, EMR), and optimize data warehousing (Redshift, Snowflake) using Java/Scala/Python and SQL. Ensure code quality with unit tests and reviews.

Lead Data Engineer designs, builds, tests, and supports cloud-based data platforms for marketing and messaging. Collaborates across Agile teams to deliver scalable, real-time data and ML-enabled solutions using distributed systems, data warehousing, ETL, and streaming technologies. Mentors engineers and participates in code reviews and performance tuning.

Lead Data Engineer designs, develops, tests, and supports cloud-based data solutions. Collaborates with Agile teams on distributed, real-time, and ML-enabled systems using languages and data platforms (Java, Scala, Python, Go, Redshift, Snowflake). Mentors engineers, performs code reviews and unit tests, and drives technical innovation and experimentation.

Lead design and delivery of scalable, secure cloud data pipelines and products. Translate requirements into architecture, apply advanced data modeling (Data Vault 2.0/dimensional), embed data quality, observability, security, and DataOps/CI-CD practices, optimize performance and cost, mentor engineers, and enable AI/ML-ready datasets within an agile DevSecOps model.

Design, build, and operate scalable cloud data pipelines and platforms (Azure preferred). Implement DevSecOps, CI/CD, automated testing, monitoring, performance tuning, and production readiness. Mentor engineers, drive operational excellence, and translate requirements into robust technical designs. Apply healthcare domain knowledge and collaborate in agile teams to deliver secure, reliable data products.

Design, build, and maintain batch and near-real-time data pipelines on Microsoft Fabric and Azure. Ingest, transform, and curate raw source data into analytics-ready tables, semantic models, and Power BI datasets. Ensure data governance, security, observability, and cost-efficient ELT/ETL workflows. Troubleshoot data quality and pipeline issues, document architecture and lineage, and collaborate with stakeholders to deliver reliable data products.

The Data Engineer will design, develop, and deploy scalable AI-enabled data solutions, implement machine learning models, and conduct data analysis in the DoD's CDAO ADA IR program.

Develop, maintain, and optimize data integration pipelines, API services, and front-end interfaces for geospatial and structured data. Build scalable, secure web applications and metadata-driven search for ESRI GIS platforms and Unity Catalog. Implement RESTful/GraphQL APIs, manage CI/CD and Kubernetes deployments, ensure API authentication, and optimize queries/indexing for large-scale geospatial datasets.

As a Senior Data Engineer, you will design and develop AI-powered data solutions, investigate tools, and collaborate with engineering to enhance Sleuth's platform.

The job involves building responsive web dashboards, advanced data visualizations, and analytics tools for unmanned aircraft systems, requiring a deep understanding of UI/UX design and data presentation.

The Data Engineer will build and maintain data platforms, deploy pipelines, monitor transformations, and collaborate with Data Scientists and DevOps.

The Full Stack Data Engineer will develop and maintain data pipelines, optimize storage strategies, integrate APIs, and ensure compliance with security frameworks for a DoD contract.