Top Data Engineer Jobs in Portugal

Design, implement, and maintain secure, high-availability database solutions across cloud, on-premises, and hybrid environments. Collaborate with cross-functional teams to deploy, tune, automate, and secure mission-critical geospatial data platforms. Provide guidance on database design, migration, integration, backup/recovery, performance optimization, and compliance to support ArcGIS-driven systems.

The Scientific Data Engineer will design data architecture, build ETL/ELT pipelines, implement data quality checks, and develop semantic layers for AI-consumable data products in healthcare research.

Build and maintain production data pipelines and tools for large-scale image and sensor datasets. Design, develop, and test full-stack applications for vector and raster data, implement cloud and edge data offboarding, create continuous delivery pipelines (Kubeflow/Airflow/Databricks), collaborate with cross-functional teams, and document code, APIs, and system architecture.

Design, develop, and maintain data pipelines and software solutions to process and combine diverse data sources. Perform statistical analysis (regression, anomaly detection, clustering), automate and optimize data products, communicate findings to technical and non-technical stakeholders, elicit system requirements, validate performance, and support time-sensitive intelligence operations.

Design, build, and maintain an internal data platform and pipelines. Ensure secure, governed, resilient data access for engineering and BI teams. Partner with architects, implement automations, support platform consumption, mentor users, and drive continuous improvement and compliance.

Lead implementation of ETL patterns and reliable data infrastructure, partner with business and engineering teams to prioritize and deliver integrations, APIs, and reusable components, and support operational data applications in an Agile environment.

Build and operate ML training and serving infrastructure; design, develop, and launch backend systems; collaborate across teams to decompose projects; maintain availability through monitoring and on-call support; review and debug large codebases; contribute to hiring and team growth.

Design, build, and operate scalable batch and real-time data pipelines on Databricks/Azure, implement medallion architecture with Delta Lake, ensure data quality and governance via Unity Catalog, support CI/CD and production operations, and collaborate with stakeholders to deliver analytics-ready datasets for BI and ML use cases.

Design, implement, and maintain Azure-based data pipelines and analytics-ready datasets. Develop transformations, optimize SQL, contribute code across the platform, support production workloads, apply engineering patterns, work with stakeholders, and support CI/CD, testing, and monitoring for analytics and AI/ML use cases.

As a Senior Software Engineer on the Data team, you will build data ingestion tools, support internal teams, and enhance systems for accuracy and reliability.

The Senior Data Engineer will design and build data systems, mentor engineers, and collaborate with product teams to optimize data architecture and pipelines for scalability and reliability.

The Senior Data Center Engineer II is responsible for deploying and maintaining data center infrastructure, troubleshooting hardware and software issues, managing documentation, and mentoring junior engineers.

Lead design and roadmap for next-generation data center architectures. Own MEP, cooling, and power topologies (including 800VDC and liquid systems), run PoCs, guide site selection, scale pilots into global standards, mentor engineers, and represent the company externally.

Lead design and future architecture of DigitalOcean data centers, owning MEP, cooling and power topologies (air to 800VDC liquid rack-scale), run PoCs, support site selection, mentor engineers, and translate AI/ML hardware roadmaps into scalable, deployable global standards.

The Data & AI Engineer III will lead cloud data engineering solutions, develop data infrastructure, establish architectures, mentor team members, and secure data around cloud systems.

The Staff Business Systems Engineer will manage systems supporting Data Center operations, focusing on capacity planning, lifecycle management, integrations, and asset tracking across infrastructure and finance. Responsibilities include architecture design, data modeling, and ensuring operational compliance.

Lead the design and delivery of cloud-based DLP platform services that centralize policy authoring, routing/scoring of findings, and enforcement. Collaborate with product, security, and policy teams; drive architecture, data modeling, event design, deployment automation, and regulatory-compliant, auditable outputs. Mentor engineers and contribute to operational strategy and production validation.

Build and operate production data pipelines integrating ERP/ATS/project management/telemetry into a queryable layer. Own the data model for a live knowledge graph. Ship SLA-backed datasets/services for tools and ML. Convert unstructured vendor/field data (PDFs, spreadsheets) into trusted structured inputs. Ensure data quality via tests, monitoring, and lineage, and use modern data stacks and LLM tools responsibly.

The Principal Data Engineer will design and maintain robust mission data pipelines for the Department of the Air Force, focusing on automation, security compliance, and interoperability among systems, ensuring effective data flow and process integrity.

Design, build, and maintain production-grade data ingestion, processing, labeling, and validation pipelines for structured and unstructured data (time-series, image, video). Automate workflows, implement data quality checks and observability, manage dataset versioning and lineage, and collaborate with engineering and AI teams to support ML model training, deployment, and CI/CD workflows.

As a Data Engineer, you will build and own the data infrastructure, design pipelines, ensure data quality, and implement DataOps practices while collaborating closely with product and engineering teams.

The Senior Software Data Engineer will design and optimize cloud-based data pipelines, utilizing Python and AWS services to deliver scalable data solutions, mentor junior engineers, and ensure compliance with security and quality standards.

The Data Engineer will support Data Analytics and Business Intelligence efforts, developing data pipelines, ensuring data performance, and collaborating within Agile frameworks to meet complex requirements for federal clients.

The Data Engineer will develop data pipelines, support data automation, collaborate with Agile teams, and ensure data reliability and performance. The role requires strong ETL skills and experience with relational databases, big data analysis, and CI/CD practices.

The Data Engineer will develop data pipelines, support Agile teams, ensure data performance, and collaborate to implement complex requirements for federal customers.