Top Data Engineer Jobs in Portugal

Designs, builds, and optimizes modern Azure and Databricks data platforms for clients. Responsibilities include client discovery, requirements workshops, architecture discussions, batch and streaming ingestion, lakehouse and dimensional modeling, data transformation, governance, monitoring, DevOps, security, and solution reviews. The role also communicates recommendations to technical stakeholders and leadership while delivering scalable analytics and reporting solutions.

Designs and maintains scalable data pipelines, architectures, ETL processes, data models, and governance frameworks for secure DoD analytics and AI initiatives. Integrates complex data sources, ensures data quality and compliance, and supports deployment and sustainment of data platforms. Collaborates with data scientists, product managers, and mission stakeholders to deliver operational decision-support solutions.

Designs and optimizes scalable data pipelines and architectures for Department of Defense missions, AI-enabled use cases, and operational analytics. Integrates complex data sources while ensuring quality, reliability, security, governance, and compliance. Builds ETL processes and data models, collaborates with data scientists and mission stakeholders, and supports deployment and sustainment of data platforms in secure DoD environments.

Build and operate scalable data-platform systems for multimodal robotics and machine-learning datasets. Responsibilities include ingestion, processing, validation, labeling, dataset generation, metadata, lineage, versioning, data quality, observability, and workflow reliability. Partner with ML, robotics, infrastructure, and labeling teams to create reusable platform capabilities supporting large-scale data processing, reprocessing, backfills, training, and evaluation.

Migrate data products from Azure Synapse to Microsoft Fabric and design scalable data pipelines using Azure Data Factory, notebooks, Spark/PySpark, Python, and SQL. Implement ingestion (full, delta, CDC), refactor pandas to PySpark, apply medallion architecture, perform data quality checks, tuning, monitoring, troubleshooting, and collaborate with stakeholders to document and deploy solutions.

Own and improve ETL pipelines, investigate and validate analytics systems, optimize performance, cost, and availability, and design scalable data platforms. Collaborate with data scientists to deliver dashboards, insights, and client-facing data pipelines using strong software engineering practices.

The Data Engineer will clean, manage, and analyze datasets, automate ETL processes, and collaborate with traders and software engineers to derive insights.

Design and maintain petabyte-scale data architectures and ETL pipelines; enable automated MLOps workflows; lead teams building ML systems and backend services; implement CI/CD and DevSecOps practices; integrate components, write maintainable Python code, and produce technical documentation while collaborating with cross-functional teams.

Design, build, and automate secure, scalable data pipelines and storage across classified and unclassified hybrid cloud environments. Lead data interconnectivity, ETL/ELT, cross-domain transfers, and advise as SME to ensure data availability for mission analytics while managing multiple agile projects.

The Network Data Engineer will provide technical support for Cisco products, focusing on LAN, WAN, Wireless technologies, and F5 Load Balancers with extensive troubleshooting experience required.

The Senior Big Data Developer will lead software projects through all life cycle stages, requiring strong Java, Oracle, SQL, and Green Plum skills.

The Data Engineer will analyze data, optimize systems, and collaborate with data scientists and engineers, requiring strong SQL and PowerBI skills.

As a Growth Engineer, you will develop full-stack features, analyze data for insights, and autonomously drive initiatives to enhance user engagement and retention.

As a Forward Deployed Data Engineer at TENEX, you will develop detection rules, build log parsers, maintain SOAR playbooks, and train customers on the platform functionalities.

Design, build, and maintain scalable ETL/ELT data pipelines on Databricks and AWS S3; manage large geospatial and temporal datasets; productionize ML models; implement data validation, testing, and monitoring; optimize storage and processing; document workflows; collaborate cross-functionally.

Design, develop, and deploy scalable AI-enabled data pipelines and preprocessing workflows in secure, containerized environments. Perform feature engineering, model development and deployment, collaborate with product and platform teams, and create visualizations and storytelling using Palantir tools to support DoD decision‑support systems.

Design, build, and deploy scalable, AI-enabled data pipelines and ML services for DoD CDAO. Perform preprocessing, feature engineering, model training/deployment, and collaborate with product, platform, and mission teams in secure, containerized, SCIF environments.

Design, build, and optimize scalable AWS data pipelines and serverless solutions for utilities datasets. Orchestrate workflows (Step Functions/Airflow), implement ETL/ELT with PySpark/Python, model data for analytics, ensure performance, reliability, security, and compliance while collaborating with cross-functional stakeholders.

The Senior IT Data Engineer will design and implement enterprise data architectures, develop scalable ETL/ELT pipelines, and support data-driven initiatives for the Federal Reserve Board.

The Data Engineer will lead and implement big data solutions, focusing on data architecture, code development, and maintaining long-term support. Responsibilities include collaborating with teams to design data pipelines and automating tests, while also mentoring team members and consulting on analytics solutions.

Design, build, and maintain scalable ETL pipelines using Python, SQL, and Palantir or similar platforms. Ingest structured and unstructured data from databases, APIs, and files; implement data models, cleansing, validation, monitoring, and performance optimizations; collaborate with stakeholders and document pipelines and best practices.

The Principal Data Engineer will design and implement scalable data platforms, lead architecture discussions, and mentor teams. Requires expertise in Azure and Databricks.

Design and implement scalable, secure enterprise geospatial database solutions using Esri technology. Collaborate across project phases to configure, maintain, tune, secure, and automate databases, support ArcGIS applications, and provide technical guidance for migrations, integrations, and operational readiness for Defense/Intel clients.

Consult with customers to design and implement enterprise geospatial database solutions using Esri/ArcGIS technologies. Configure, secure, monitor, and automate databases (backup/HA/DR, performance tuning, data loading). Collaborate across teams, provide technical guidance, and support database migrations and integrations for mission-critical defense and intel applications.

Consult with customers to design and implement scalable, secure enterprise geospatial database solutions using Esri/ArcGIS technologies. Configure and maintain database environments (backup, HA/DR), monitor and tune performance, implement security and access controls, automate data workflows, and provide technical guidance across requirements, design, build, and deployment phases. Support integration with ArcGIS web, desktop, and mobile applications for Defense and Intel clients.