Top Data Engineer Jobs in Portugal

Develop and support enterprise business intelligence, data warehouse, ETL, reporting, dashboard, and analytics solutions. Build optimized SQL and PL/SQL queries, troubleshoot applications and data issues, support system interfaces and testing, participate in deployments, and provide on-site technical support to government users and senior leadership. Maintain documentation, perform root cause analysis, and implement improvements for system reliability and performance.

Own Kikoff’s data security roadmap across AWS, Snowflake, RDS, and internal pipelines. Design and implement encryption, tokenization, least-privilege access, access brokering, row- and column-level controls, audit logging, secure data flows, and AI agent permissions. Partner with Legal and Compliance on privacy and regulatory requirements, threat-model new systems, and create reusable secure engineering patterns. Support data mapping, retention, deletion, and cross-border data controls in a regulated fintech environment.

Supports the Army’s cPROBE data repositories and database layer by designing, implementing, and maintaining reliable, secure, high-performance data infrastructure. Responsibilities include managing interfaces and APIs, minimizing data access latency, defining data and metadata requirements, designing data warehouses, implementing business rules, facilitating change control, and conducting data verification and testing. The role also coordinates with architects, programmers, analysts, and engineers while providing product support and maintenance.

Provides production and test database administration and reliability support, including backups, recovery, migrations, monitoring, tuning, security, replication, clustering, and troubleshooting. Manages database workloads in Azure or comparable clouds, develops automation and monitoring tools, supports disaster recovery and production readiness, and maintains documentation and operational procedures. The role includes 24/7 operational support, on-call rotations, application troubleshooting, and collaboration with development teams, vendors, and internal stakeholders.

Assists project management teams with construction documentation, shop drawing review, quality control, punch lists, site logistics, safety requirements, schedule updates, surveying controls, and daily reporting for data center projects.

Leads enterprise data engineering and AI-ready data knowledge initiatives across Network Services. Designs scalable pipelines, data models, metadata, governance, lineage, quality controls, and validation frameworks for structured and unstructured data. Partners with subject matter experts to prepare trusted context for AI and agentic workflows, guides hybrid data architectures, supports testing and releases, establishes control standards, and mentors data engineers.

Develop and support Fiserv’s cloud-native Vision NEXT payment platform. Responsibilities include building software applications, event-driven data ingestion, enterprise data pipelines, Snowflake solutions, APIs, automated testing, and AWS-based applications. The role involves integrating large-scale data, optimizing platform performance, troubleshooting production issues, participating in code reviews, and supporting client implementations. Collaboration occurs across software engineering, data engineering, analytics, and LATAM partner teams.

Lead design, build, and maintain enterprise-scale data platforms and pipelines. Mentor cross-functional teams, develop software to process structured/unstructured data, and operationalize ETL/ELT workflows for analytics in agile environments supporting mission-driven projects.

Designs and owns analytics-ready datasets, semantic views, ELT pipelines, and standardized metrics in Snowflake. Partners with business, analytics, and engineering teams to enable self-service BI, maintain data quality and documentation, and support forecasting, machine learning, and generative AI initiatives. Provides senior guidance on data modeling, analytics engineering practices, and scalable data product design.

Leads enterprise network infrastructure installation, configuration, optimization, upgrades, troubleshooting, and documentation. Oversees Cisco routing, switching, VLANs, wireless systems, WAN and DWDM telecommunications circuits, network changes, incident escalation, root cause analysis, and configuration management. Coordinates with vendors, project managers, and federal stakeholders, supports operational reporting and audits, and mentors Systems Engineer II staff. The role is hybrid in Washington, DC, with less than 10% travel and possible evening or weekend work.

Supports enterprise data networks by monitoring incidents, troubleshooting OSI Layers 1–3 issues, configuring routers, switches, wireless devices, VLANs, and network connections, and maintaining WAN circuits. Documents changes and resolutions in ServiceNow, supports office moves and network installations, maintains network records, and coordinates with service desk and technical teams. The role requires occasional after-hours support, U.S. citizenship, and an active or obtainable Public Trust clearance.

Design, build, optimize, and scale Ray Data’s distributed data processing infrastructure for large-scale AI training and inference. Responsibilities include distributed execution, scheduling, resource management, data partitioning, fault tolerance, performance optimization, and system architecture. The role also involves collaborating with customers and AI-native companies to solve complex workload-scaling challenges.

Designs, develops, tests, and supports electrical communication systems at Kennedy Space Center, including cabling, mission imagery, transmission, and voice systems. Collaborates with product teams to address work orders, repairs, and operational requests; develops routine solutions under senior engineering supervision; and processes documentation for tracking and continuity. The role requires a bachelor's degree, U.S. citizenship, NASA background-investigation eligibility, a Florida driver's license, drug-test compliance, and the ability to lift up to 50 pounds.

Design, build, and maintain scalable data pipelines, lakehouse/data‑warehouse architectures, and ETL/ELT workflows to support analytics and AI/ML. Ensure data quality, lineage, monitoring, and SLA-driven reliability; support project delivery, client communication, and business development under project management guidance.

Design, build, and operate cloud-based data engineering solutions on GCP. Develop scalable batch and streaming pipelines, perform data modeling and transformations, optimize ETL/ELT workloads, monitor pipelines, and collaborate with stakeholders and BI teams to deliver enterprise data solutions in a Scrum environment.

Design, implement, and test cloud-based server-side software in Python. Optimize code performance, maintain unit and integration tests, and work with AWS, Docker, DevOps, and CI/CD tools. Preferred experience includes reverse engineering public APIs, PostgreSQL, Django ORM and DRF, network protocols, and web or mobile technologies.

Build, scale, and operate an enterprise telemetry data platform that ingests, processes, and publishes vehicle telemetry at global scale. Develop batch and streaming pipelines using Databricks and Spark, implement observability and data quality controls, optimize distributed workloads for performance and cost, and enable reliable production data products through CI/CD and Infrastructure as Code. Provide technical leadership and partner with analytics, AI, and engineering teams.

Design and implement scalable data models and ETL pipelines (batch and streaming), ensure data quality/SSOT, collaborate with product and platform teams to resolve issues, contribute to data governance, and explore practical integrations between data engineering and AI.

Build and operate scalable data pipelines and services to power internal products. Design data models, curate high-quality datasets, collaborate with cross-functional teams, and mentor engineers while improving platform reliability, observability, and AI-ready data layers.

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.

Supports flight-related data, telemetry, network, computer, and vehicle systems through architecture, integration, testing, operations, troubleshooting, documentation, upgrades, and mission support. Owns corporate and airplane networks, administers switches, routers, firewalls, servers, virtualization, and communications systems, and provides escalation support during flight tests. The role also manages configuration control, change documentation, system maintenance, and travel to launch and recovery sites.

Build and lead Way’s data infrastructure from the ground up. Design cloud-native data lakes, scalable batch and real-time ETL/ELT pipelines, ingestion frameworks, data warehouses, orchestration, streaming systems, data quality monitoring, and DataOps practices. Develop Python and SQL-based data solutions, infrastructure as code, feature stores, dashboards, and self-service analytics. Partner with product and business teams on metrics, predictive modeling, and experimentation while establishing data-driven practices.

Develop business intelligence and analytics solutions using financial, operational, RF, and video performance data. Build scalable data models, dashboards, reports, automation workflows, and ETL/ELT processes using Power BI, Tableau, DataMiner, and Qligent. Analyze trends and anomalies, monitor satellite and video delivery performance, translate business requirements into actionable insights, and collaborate with enterprise stakeholders in a fully remote consulting role.

Develops and administers complex ETL and ELT data integration solutions using Microsoft Fabric, SQL Server, Lakehouses, Warehouses, pipelines, notebooks, and SSIS. Designs reliable data flows, consumption views, semantic datasets, and enterprise data models; troubleshoots data quality and pipeline issues; supports database administration, backup and recovery, reporting, deployment, and CI/CD. Collaborates with business, analytics, technical, vendor, and reporting teams to deliver secure, scalable, trusted data products.

Provide data engineering and analysis consulting to a Department of Defense client. Responsibilities include data modeling, data integration, software development, collaboration with clients and technical teams, and delivery of high-quality data solutions. The role requires an active Secret clearance, a bachelor’s degree, and at least eight years of relevant experience.