Top Data Engineer Jobs in Portugal

Maintain, install, and repair voice, data, radio, and video telecommunications infrastructure (LAN/WAN/PBX/voice mail/microwave/VHF/UHF/fiber). Serve as PBX/phone mail administrator, coordinate with carriers, support SCADA, configure routers/hubs/channel banks, and provide first-level PC and electronic technical support. Lead telecommunications activities and ensure FCC and safety compliance.

Maintain installation, maintenance, and problem resolution for voice, data, radio, and video networks and equipment (PBX, WAN/LAN/MAN, microwave, fiber, SCADA). Serve as PBX/phone mail administrator, coordinate with carriers, support telecom capital projects, and provide first-level PC and electronic technical support.

Install, maintain, and repair voice, data, radio, and video communications infrastructure (LAN/WAN/MAN, PBX, microwave, VHF/UHF, fiber, UPS, SCADA). Act as PBX/phone mail administrator, coordinate telecom projects, interface with carriers, provide first-level PC support, and ensure regulatory and safety compliance.

Maintains and troubleshoots voice, data, radio, and video conferencing infrastructure (WAN/LAN/MAN, PBX, microwave, VHF/UHF, fiber, SCADA). Installs, repairs, and administers telecom systems, coordinates with carriers, supports network configuration, and provides first-level PC and engineering support.

Maintain and support voice, data, radio, and video communications infrastructure (LAN/WAN/MAN, PBX, voicemail, microwave, VHF/UHF, fiber, SCADA). Install, repair, configure routers, channel banks, and conferencing systems; administer PBX/phone mail; provide first-level PC support and coordinate telecom projects with carriers and engineering teams.

Design, implement, and maintain scalable data infrastructure and real-time processing for analytics platforms. Migrate systems from AWS to on-prem Kafka/Spark, implement data transformations, support production, optimize pipelines, query and analyze data, and build scripts and APIs to operationalize data science work.

Support senior cyber SMEs by collecting, tagging, and structuring risk assessment data; link assessments to external threat/vulnerability databases; build and maintain datasets, dashboards, and knowledge bases to enable proactive risk detection, trend analysis, and reporting for leadership.

Design, develop, and maintain Power BI BI solutions: build data models, create reports and dashboards, write DAX and Power Query transformations, query and integrate data with SQL, apply data warehousing/ETL principles, optimize performance, document solutions, troubleshoot issues, and collaborate with stakeholders.

Join the Machine Learning Data Enablement team to build scalable, production-ready data pipelines for ML models. Collaborate with data scientists and ML engineers to deliver curated datasets, using Python and SQL and modern data tooling (Snowflake, dbt, SageMaker). Onsite role with high visibility and opportunity for growth.

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, manage complex data sets, and ensure data reliability while collaborating within an Agile/Scrum team.

The Data Engineer will develop data pipelines, support Agile team collaboration, ensure data extraction performance, and promote process automation.

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

The Data Engineer develops data pipelines, supports Agile teams, ensures data performance, advocates for lean practices, and collaborates across functions to deliver insights for federal customers.

The Data Engineer will develop data pipelines, ensure data reliability, and support process automation while collaborating within Agile teams.

The Data Engineer will develop data pipelines, support automation, and collaborate within an Agile team to manage complex data sets, ensuring performance and reliability in data processing.

Responsible for developing data pipelines, ensuring data extraction performance, and collaborating in an Agile team to provide data-driven solutions.

This role involves developing data pipelines, ensuring data performance, automating processes, and collaborating within Agile teams to meet complex data requirements.

The BI ETL Data Developer II/III develops and maintains scalable data pipelines in a cloud-based environment, enhancing data integrity and quality for informed decision-making across the University.

Design, develop, and maintain scalable ETL/ELT pipelines using Python, PySpark, Snowflake, and Azure technologies. Build data ingestion frameworks, dimensional data models, and enterprise warehouse solutions. Optimize Snowflake workloads, implement data quality and governance controls, monitor production pipelines, troubleshoot incidents, document data processes, and collaborate with architects, analysts, data scientists, and business stakeholders. Support secure, compliant, reliable data platforms for analytics, reporting, and operational use cases.

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.

As a Sr Data Engineer, you'll conduct feasibility analyses, develop applications, monitor processes, consult with users, and ensure compliance while serving as a mentor to junior analysts.

The Data Engineer will provide technical and analytical support for the Operational Test and Evaluation of US Navy Undersea Warfare systems, focusing on data management and analysis tasks.

Build and operate real-time and batch data pipelines for maritime domain awareness. Parse binary sensor and SONAR data, design high-performance data warehouses, validate and normalize sources, and improve local development and CI/CD. Work on-site with customers, write production-quality code, and integrate systems to support mission-critical deployments.