Top Data Engineer Jobs in Portugal

Develop and validate daily data feeds, reports, and applications; vet other developers' work for data integrity; collaborate with business partners; participate in Agile ceremonies; identify and improve ETL performance; maintain clear documentation.

Build and maintain dbt models and ETL/ELT pipelines on BigQuery and Daasity, connect marketing, inventory, and finance data, support KPI tracking and predictive models, deploy dashboards, and collaborate with AI and business teams to ensure clean warehouse outputs for analytics and automation.

Lead design and implementation of data architecture, ETL/ELT pipelines, and data models. Build dashboards (Power BI/Tableau), define performance metrics, ensure data quality and lineage, automate reporting, mentor junior analysts, present findings to stakeholders, and document processes. Onsite support in Frederick, MD with required business-hours availability.

Design, build, and operate the Semantic Data Team's control plane and DataOps backbone. Implement orchestration, observability, governance (lineage, RBAC, PII protection), RAG/LLM-driven workflows, self-service portals, quality gates, and integrations with ingestion, MDM, and data product layers to deliver trusted, production-grade semantic data assets.

Lead design and implementation of electrical systems for hyper-scale data centers, ensure code compliance, produce schematics and installation drawings, perform load and capacity analysis, maintain systems and safety programs, mentor staff, act as Engineer of Record, and support client relationships and project budgeting.

Lead electrical design for hyper-scale data centers: medium/low-voltage distribution, backup and emergency power, schematics, BOMs, and installation drawings. Ensure NEC/IEC compliance, optimize load balancing and capacity planning, perform testing and preventative maintenance, develop safety procedures, mentor engineers, act as Engineer of Record, manage budgets and schedules, and provide technical client leadership.

Lead electrical design for hyperscale data centers including medium/low-voltage distribution, backup and emergency power, schematics, load analysis, maintenance procedures, NEC/IEC compliance, mentoring staff, acting as Engineer of Record, client technical leadership, and occasional onsite travel.

Design and deliver electrical systems for colocation and hyperscale data centers, including power distribution, backup and emergency systems. Perform electrical calculations, develop schematics and drawings, ensure code compliance (NEC, IBC, IECC), collaborate on design criteria and budgets, and support client-facing project delivery with occasional travel.

Design and deliver electrical systems for colocation and hyperscale data centers, including power distribution, backup/emergency systems, calculations, drawings, schematics, and code compliance while collaborating with stakeholders and maintaining industry knowledge.

Design and deliver electrical systems for colocation and hyperscale data centers, including medium/low-voltage distribution, backup and emergency power. Produce electrical calculations, schematics, installation drawings, bills of materials, and ensure NEC and building code compliance. Collaborate with stakeholders on specifications, design criteria, and budgets; support client-facing activities and occasional site travel.

Design and optimize data center HVAC and heat-rejection systems, perform heat-load calculations and CFD airflow analysis, select and size cooling equipment, ensure redundancy and fault tolerance, coordinate with electrical/mechanical trades, and implement energy-efficiency and air-quality solutions for mission-critical data centers.

Design and deliver electrical systems for colocation and hyperscale data centers, including medium/low-voltage distribution, backup and emergency power. Produce calculations, schematics, installation drawings, bills of materials; ensure code compliance (NEC, IBC, IECC); perform power system analysis; collaborate with stakeholders and maintain up-to-date technical knowledge.

Design and specify data center HVAC and heat-rejection systems, perform CFD airflow analysis, plan capacity and redundancy, coordinate with electrical/mechanical teams, ensure energy efficiency, air quality, and compliance with data center standards across phased projects.

Design and specify data center HVAC and heat-rejection systems, select cooling technologies, perform CFD airflow analysis, plan redundancy and capacity, ensure air quality and energy efficiency, and coordinate mechanical and electrical integration across projects.

Lead electrical design for hyper-scale data centers including medium/low-voltage distribution, backup and emergency power, schematics, BOMs, code compliance, testing, maintenance planning, and mentoring. Act as Engineer of Record, provide technical estimates, lead client relationships, and recommend technologies to maximize reliability and efficiency.

Design electrical systems for hyperscale and colocation data centers, including power distribution, backup/emergency systems, calculations, drawings, schematics, and code compliance (NEC/IBC/IECC). Collaborate with stakeholders, maintain design documentation, and apply power-system analysis tools (SKM/ETAP) and BIM (Revit) to deliver projects.

Design and optimize data center heat rejection and HVAC systems, perform heat load calculations and CFD airflow analysis, select cooling systems, ensure redundancy and energy efficiency, coordinate with electrical/mechanical trades, and support capacity planning and air quality controls.

Lead electrical design for hyperscale data centers including medium/low-voltage distribution, backup and emergency power. Produce schematics, BOMs, and installation drawings; ensure NEC/IEC compliance; perform load analysis, maintenance planning, safety procedures, and mentor engineers. Serve as Engineer of Record and lead client technical relationships.

Design and engineer data center heat rejection and HVAC systems, select cooling equipment, run CFD airflow analyses, plan capacity and redundancy, optimize energy efficiency and air quality, and coordinate mechanical-electrical integration on client-facing projects with occasional travel.

Design and deliver electrical systems for colocation and hyperscale data centers, including medium/low-voltage distribution, backup and emergency systems, electrical calculations, drawings, schematics, bills of materials, and code compliance. Collaborate with stakeholders, maintain design documentation, and stay current with data center technologies and standards.

Design and engineer data center HVAC and heat-rejection systems, perform CFD airflow analysis, size cooling capacity, ensure redundancy and energy efficiency, coordinate with electrical/mechanical trades, and plan for phased expansions and air quality controls.

Own and improve analytics datasets and ETL pipelines powering an internal product analytics AI agent. Build retrieval, knowledge, evaluation, and backend agent workflows. Improve retrieval and answer quality, develop evaluation systems, and create user-facing features. Partner with data scientists to turn analytics needs into scalable capabilities and help set roadmap and technical direction for the data and quality side of the platform.

Lead design and delivery of an enterprise Azure/SAP-based data and AI platform using Microsoft Fabric and SAP BDC. Define architecture, governance, IaC, CI/CD, reusable ingestion/integration patterns (including PI historian and SAP), semantic models, and partner with stakeholders to produce secure, scalable, production-grade analytics, reporting, and AI capabilities.

Design and implement scalable, production-quality data solutions using cloud-based big data technologies. Develop and optimize Spark/Hive workflows, write code in Scala/Python/Java, perform performance tuning, participate in SDLC and agile processes, and collaborate to identify and execute improvements.

Build and operate scalable data pipelines and feature datasets for ads ML. Own end-to-end offline flows from event ingestion to feature-ready datasets, develop batch and streaming systems, integrate feature store with online serving, improve observability and testing, and lead architectural decisions to ensure performance, correctness, and reliability at scale.