Top Data Engineer Jobs in Portugal

Lead design and evolution of FloQast's core data platform and lakehouse, owning event streaming, batch and streaming ETL, storage, governance, and compute architecture (Spark). Define standards, mentor engineers, collaborate cross-functionally, and ensure scalable, secure, production-grade data infrastructure for product and analytics.

Build scalable data solutions and reconciliations to automate Compliance & Finance regulatory processes. Partner with stakeholders to translate requirements into designs, lead technical development, review code, and evolve standards for data pipelines and reporting.

The role involves designing and building data pipelines for analyzing user feedback on AI models, ensuring data quality and infrastructure scalability.

Leads architecture, optimization, scaling, and ownership of Zoox’s enterprise and AI data platform. Builds self-healing pipelines, governance frameworks, data quality and observability systems, secure access controls, lifecycle policies, and automated CI/CD deployment infrastructure. Optimizes Databricks and AWS EMR performance and costs while enabling low-latency, AI-ready data foundations. The role also drives enterprise security, compliance, schema evolution, and developer velocity, with opportunities to apply GenAI, Terraform, and EKS.

Develop and govern MBSE and SysML digital models for defense and space mission systems while applying Python, SQL, statistics, visualization, and machine learning to engineering and operational data. Establish digital-thread traceability, data architectures, requirements relationships, technical baselines, and explainable analytics. Support trade studies, capability assessments, AI/ML evaluation, architecture decisions, Agile and DevSecOps delivery, and collaboration with systems engineers, architects, operators, cybersecurity teams, and government stakeholders.

Design and implement a financial knowledge graph architecture, build graph ingestion and transformation pipelines, apply graph algorithms and analytics, define best practices, drive adoption across teams, and mentor/hire engineers to scale the platform while collaborating with investment and compliance stakeholders.

Leads technical discovery, solution design, RFP responses, demonstrations, pilots, proof-of-concepts, and data testing for enterprise marketing and media clients. Acts as a trusted advisor on data, privacy, identity, attribution, and activation, translating technical concepts into business decisions. Partners with Sales, Research, and Product teams while influencing platform enhancements and supporting client implementations.

Designs and enhances an enterprise data and AI platform, building reusable AI starter kits, reference implementations, templates, and developer-focused patterns. Partners with engineering, governance, and product teams to embed governance, accelerate AI adoption, and reduce delivery time. Leads enablement programs, champions cloud-first innovation, advises cross-functional initiatives, and mentors teams developing and deploying AI solutions. Requires expertise in AI/ML, GenAI, cloud data products, Snowflake or Databricks, agile delivery, and enterprise software development.

Designs, builds, and operates scalable batch and real-time data infrastructure processing trillions of data points. Responsibilities include platform architecture, infrastructure as code, self-healing systems, observability, developer tooling, pipeline optimization, security controls, database tuning, and distributed-system troubleshooting. The role collaborates with engineering and product teams, improves reliability and performance, and enables safe access for data engineers, software engineers, and AI agents.

Design, build, and maintain scalable data pipelines and platforms to ingest, merge, and prepare structured and unstructured data for analytics and AI. Lead multidisciplinary teams, perform data exploration and statistical analysis, and support use of LLMs/GenAI to enable mission-driven solutions across fraud detection, healthcare, and intelligence domains.

Build and operate large-scale data ingestion pipelines powering research and trading platforms. Own pipeline quality, reliability, performance, and data health; collaborate with traders, quantitative researchers, and data owners; optimize compute, storage, and SLAs; migrate pipelines to modern platforms; and implement tools to detect and resolve source-data quality issues.

Design, build, and operate Databricks Lakehouse pipelines and Delta tables. Optimize Spark/SQL workloads, implement incremental/CDC patterns, ensure data quality, deliver documented datasets and dashboards (Power BI), and collaborate with stakeholders to meet SLAs while supporting data-driven decisions.

Design and implement secure, resumable cloud pipelines to ingest multi-terabyte medical imaging data; build GPU-accelerated orchestration with strong retry semantics and cost controls; define data lifecycle and retention; implement HIPAA/PHI security and compliance controls; and deliver operational tooling (monitoring, alerting, runbooks) for a device fleet.

The candidate will improve the data ETL pipeline, build analytical tools, manage operations, and expand into new markets and asset classes.

Build and operate ingestion and transformation pipelines to turn messy insurance data into clean datasets. Design bronze/silver/fact layers, model and tune Postgres and analytical stores, define KPIs and reconciliation checks, orchestrate observable data jobs, and ensure end-to-end data quality for analytics and AI products.

The Data Engineer will design and manage data pipelines, develop datasets for product metrics, and collaborate with teams to ensure robust data integration and processing.

Lead architecture, systems, and roadmap for Coinbase's Compliance Reporting Data Platform. Design and build production-grade data models, pipelines, quality frameworks, validations, and certification processes. Establish data contracts, monitoring, reconciliation, and audit-ready processes. Partner with engineering and compliance stakeholders, respond to regulatory exams, and mentor engineers while shaping standards and documentation.

Design and operate scalable, reproducible data infrastructure for large language model pre-training. Build high-throughput distributed processing systems, including tokenization, deduplication, chunking, quality assurance, validation, and end-to-end pipelines that convert web-scale corpora into training-ready datasets. Collaborate with research teams on novel architectures while emphasizing reliability, fault tolerance, traceability, and performance.

Designs, architects, develops, integrates, debugs, and tests embedded real-time software for Link-16 and tactical data link systems. Works with systems, digital, hardware, and integration teams in an Agile environment. Responsibilities include low-level firmware integration, multi-threaded applications, requirements analysis, software lifecycle activities, static analysis, unit testing, and troubleshooting tactical data link waveforms. The role is full-time onsite in San Diego and requires a U.S. Government Secret clearance.

Design, build, and maintain ETL pipelines and big-data workflows from ingestion to consumption. Troubleshoot data/system issues, work in an agile team, handle structured/unstructured data and security logs, and support government data acquisition and sharing while meeting quality assurance and testing standards.

Lead design and implementation of a scalable Big Data Audience Management platform (500+ TB). Own data pipelines (ingest, validation, transformation, storage) using Spark and Scala, mentor engineers, perform R&D on new technologies, and partner with product managers to meet roadmap and business needs.

Senior ETL Data Developer to design, build, test, and support Epic Clarity and enterprise ETL solutions using SSIS (and DataStage). Develop and optimize ETL workflows, implement standards, troubleshoot complex integration issues, document designs, and collaborate with reporting, analytics, and business teams to deliver data warehouse solutions and integrations.

Maintain and troubleshoot voice, data, radio, and video infrastructure including LAN/WAN, PBX/voice mail, microwave and VHF/UHF radio, fiber cabling, routers and SCADA. Install, repair, and administer telecom equipment, coordinate with carriers, support video conferencing, and provide first-level PC and electronic support while complying with safety regulations.

Maintain and troubleshoot voice, data, radio, and video network infrastructure (LAN/WAN/MAN, PBX, microwave, VHF/UHF, fiber). Install, maintain, and repair telecom equipment, serve as PBX/phone mail administrator, support SCADA, configure routers and channel banks, and provide first-level PC and technical support.

Install, maintain, and repair voice, data, radio, and video telecommunications infrastructure (LAN/WAN/MAN, PBX, microwave, VHF/UHF, fiber, video conferencing). Administer PBX/voicemail, support SCADA, configure network equipment, coordinate with carriers, provide first-level PC support, and ensure regulatory and safety compliance.