Top Data Engineer Jobs in Portugal

Lead Data Privacy Engineer responsible for embedding privacy principles, ensuring regulatory compliance, and leading data protection initiatives across systems and cross-functional teams.

Design, architect, and build low‑latency, high‑throughput real‑time streaming systems that ingest, process, and distribute market data to trader GUIs. Collaborate with trading, infrastructure, and support teams to ensure accurate tick‑to‑trade delivery, operate and debug production systems, set technical direction, and mentor other engineers.

Design, build, and maintain end-to-end batch and streaming data pipelines on GCP. Migrate legacy warehouses to BigQuery/Bigtable/ClickHouse, orchestrate workflows in Airflow, ensure data quality and observability, and partner with ML engineers on feature pipelines, drift monitoring, and retraining.

Develop and maintain security observability dashboards for vulnerability scans, actions, and traceability. Gather requirements with stream leads, design and implement dashboards, provide team training on the stack, and support ongoing dashboard creation.

As a Staff Engineer, you will design, build, and maintain backend functionality for scalable services, focusing on storage systems and reliability.

Lead design, development, testing, and deployment of complex, high-performance Tableau dashboards for media metrics. Architect scalable Tableau data sources with cloud warehouses, translate advanced models into visualizations, establish visualization standards, collaborate with data engineers/scientists, manage stakeholders, and mentor junior developers. Build and support a BI portal, integrate Tableau APIs and backend AI agents, and ensure performance and governance for large datasets.

Lead design, development, and support of cloud-native party reference data services, APIs, and pipelines. Integrate third-party data, implement MDM processes (matching, survivorship, lineage, quality), modernize legacy platforms, mentor engineers, and collaborate with stakeholders, governance, and architecture teams to deliver scalable, secure reference data capabilities.

Lead design and implementation of scalable GCP-based data pipelines and semantic layers for enterprise healthcare analytics. Drive ingestion automation, BigQuery optimization, ETL/ELT orchestration, observability, data quality, and metadata management. Provide technical leadership, mentor engineers, and collaborate with architects and stakeholders to deliver production-ready cloud data solutions.

Design, develop, and implement Microsoft Azure Databricks data platforms and pipelines to ingest, cleanse, transform, and publish data. Assemble large datasets, collaborate with architects and leads to ensure fit-for-use data, apply coding standards, and drive process improvements.

Design, build, and maintain scalable cloud and hybrid data platforms, ETL/ELT pipelines, and data models. Implement CI/CD and DevOps practices, ensure data quality, security, and governance, optimize production pipelines, mentor junior engineers, and support data modernization and migration efforts for analytics and operational workloads.

Design, build, and operate large-scale batch and real-time data pipelines. Implement ingestion, transformation, orchestration, streaming, and downstream delivery using Kafka, Spark, cloud platforms, and workflow tools. Ensure reliability, scalability, performance, security, secrets management, and observability while collaborating with Agile teams to support enterprise analytics workloads.

Design, build, and maintain ETL/ELT pipelines and API integrations to ingest, cleanse, transform, and analyze infrastructure and cloud data. Produce analytics, dashboards, and executive reports; automate workflows and support near-real-time processing. Follow SDLC/DevOps practices (Git, CI/CD), ensure data governance, quality, lineage, and support incident, release, and compliance activities.

Serve as on-site EHS technical resource for a data center campus: develop and maintain compliance programs, perform JHAs and risk assessments, manage hazardous waste (RCRA), lead incident investigations and corrective actions, deliver EHS training, maintain OSHA recordkeeping, inspect safe work practices, and advise operations and construction teams.

Partner with content teams to design and build analyses, metrics, dashboards, and data tools that measure and improve content performance. Develop scalable data pipelines and workflows, apply statistical and machine learning techniques for insight generation, and translate complex analytics into actionable recommendations for cross-functional stakeholders.

Design, implement, and own Oracle data architecture and schemas for a cloud-native centralized data platform. Develop PL/SQL/SQL artifacts, optimize performance, enforce data standards, support ETL/CDC pipelines, ensure secure scalable database solutions, and collaborate with cross-functional teams to deliver mission-ready data products.

Lead mechanical design for data center HVAC and heat rejection systems, perform CFD airflow analysis, select and size cooling equipment, ensure redundancy and capacity planning, optimize for energy efficiency and filtration, and coordinate mechanical/electrical integration on mission-critical projects.

Lead mechanical design for data center heat rejection and HVAC systems, perform CFD airflow analysis, size cooling and redundancy, ensure energy efficiency, coordinate with electrical/mechanical trades, and plan capacity for phased growth and maintainability.

Senior Mechanical Engineer responsible for designing data center HVAC and heat rejection systems, selecting cooling technologies, performing CFD airflow analysis, planning capacity and redundancy, optimizing energy efficiency and filtration, and coordinating mechanical and electrical integration across projects with occasional travel for client and onsite activities.

Design and optimize data center HVAC and heat-rejection systems, perform CFD airflow analysis, plan capacity and redundancy, coordinate with electrical/mechanical trades, and implement energy‑efficiency and air‑quality strategies for mission‑critical facilities.

Lead mechanical design for data center HVAC and heat-rejection systems, perform heat-load calculations and CFD airflow analysis, select cooling architectures, ensure redundancy and fault tolerance, coordinate with electrical/mechanical teams, and implement energy-efficient, air-quality, and sustainability strategies for scalable, mission-critical facilities.

Design and implement data integration and data warehouse solutions using Big Data and open-source technologies. Build cost-efficient, performant cloud data pipelines, apply data modeling and ML concepts, and implement real-time streaming and aggregation patterns. Hands-on SQL/NoSQL and programming experience required.

Senior Mechanical Engineer for data center projects: design heat rejection and HVAC systems, perform heat load calculations, select cooling systems, run CFD airflow analyses, ensure redundancy and energy efficiency, coordinate with electrical/mechanical trades, and support capacity planning and air quality/filtration strategies for mission-critical facilities.

Design, build, and maintain scalable ELT/ETL data pipelines and data models on cloud platforms (preferably Snowflake). Enable batch and near-real-time integrations, ensure data quality/monitoring, create APIs and production-ready datasets for BI, analytics, and ML, optimize performance and cost, document architectures, evaluate new technologies, and mentor engineers.

Lead design, development, implementation, and maintenance of EDI solutions and ERP integrations. Manage trading partner onboarding, monitoring, mapping, automation (Workato), testing, vendor relationships, security/compliance procedures, and provide technical leadership and after-hours support.

Early-career role to build, operate, and improve cloud data/analytics platforms (Fabric, Snowflake, Databricks). Support platform operations, CI/CD for analytics assets, onboarding for BI tools (Power BI/Tableau), runbooks, monitoring, incident response, and basic security/governance. Work under senior mentorship and contribute to automation, deployment templates, and performance triage.