Top Data Engineer Jobs in Portugal

Designs and maintains scalable Databricks data pipelines on AWS, covering ingestion, transformation, streaming, data quality, and analytics-ready dataset delivery. Builds medallion architecture layers using Spark, Python, SQL, Delta Lake, and AWS services. Responsibilities include source-to-target mapping, unit testing, CI/CD deployment, anomaly analysis, and compliance with FISMA High and multi-tenant governance requirements. Collaborates in Agile teams and uses AI automation tools to accelerate pipeline development and validation.

Develop and migrate reporting assets from SAP BusinessObjects to QlikView and Qlik Sense. Analyze and rebuild Web Intelligence, Crystal Reports, and universes; debug legacy and new reports; optimize SQL, scripts, expressions, data models, and load processes; validate output accuracy; document migration logic; and collaborate with stakeholders on requirements and report specifications.

Supports migration of reporting assets from SAP BusinessObjects to Qlik by rebuilding, testing, validating, documenting, and troubleshooting reports. Responsibilities include creating dashboards, writing SQL queries, updating Qlik scripts and expressions, tracking migration changes, migrating scheduled jobs, and supporting user acceptance testing and training documentation under senior developer guidance.

Lead development of high-performance financial trading applications and Order Management System features across Java backends and JavaScript frontends. Responsibilities include architecture, performance optimization, troubleshooting, code reviews, mentoring, technical planning, documentation, and collaboration with product managers and engineers. The role requires full-stack engineering experience, strong testing and problem-solving skills, and knowledge of the financial trading ecosystem.

Lead the architecture, development, governance, and reliability of AssetMark’s Azure and Snowflake data platform. Design scalable ETL/ELT pipelines, write and review Python and SQL, establish engineering standards, oversee DataOps, security, compliance, and FinOps, and integrate AI/ML and GenAI capabilities. Mentor engineers, lead technical design sessions, and partner with Data Science, Product, Security, Compliance, and business stakeholders to deliver governed, production-grade data products.

Designs and leads data architecture, models, metadata standards, integration strategies, storage solutions, and virtualized data pipelines. Partners with business stakeholders, technical teams, and product owners to define data requirements and digital ecosystem recommendations. Supports data governance, quality, security, visualization, and analytical systems while guiding technology assessments and digital transformation initiatives.

Design and build production AI, data analytics, and cloud solutions for product engineering. Own end-to-end architecture, agentic systems, evaluation standards, data pipelines, AWS platforms, APIs, and user interfaces. Develop full-stack applications, establish technical standards, mentor engineers, manage developers, and partner with engineering teams to move prototypes into adopted production systems. The role requires hands-on Python, SQL, modern front-end, LLM orchestration, RAG, data engineering, cloud, and cost-aware architecture expertise.

Designs and leads spacecraft data architectures for Blue Ring satellites, including command and telemetry databases, parameter data, onboard storage, uplink and downlink flows, and data prioritization. Collaborates with flight software, spacecraft engineering, operations, systems engineering, and test teams to implement, automate, verify, and scale data solutions across missions. Requires extensive spacecraft development and operations experience, programming expertise, and knowledge of CCSDS standards and command sequencing.

Designs and maintains scalable data pipelines, warehouse models, and analytics solutions. Builds natural-language data interfaces using GenAI and LLM techniques, optimizes SQL, improves data quality and observability, and supports distributed data platforms on AWS or GCP. Partners with engineering, analytics, business, and product teams, contributes to shared codebases, establishes development standards, and participates in production on-call and incident response.

Manage and enhance Splunk infrastructure, including data onboarding, ingestion pipelines, dashboards, queries, alerts, user management, retention, and performance troubleshooting. Integrate diverse data sources, normalize and route security data, support security operations, collaborate with stakeholders, and provide user training. The role requires Splunk architecture expertise, Linux and Windows administration, data pipeline development, and an active TS/SCI clearance with potential polygraph requirements.

Build and operate production data pipelines and enterprise data services supporting AI models, agents, and mission applications. Integrate structured and unstructured data across relational, document, vector, and graph systems; establish data quality, lineage, metadata, governance, and secure access practices; and collaborate with AI, platform, government, and commercial engineering teams. Deploy services in Kubernetes and classified environments while developing reusable ingestion, orchestration, documentation, and operational patterns.

Build and operate production data integrations and ETL pipelines using AWS Glue, PySpark, Python, SQL, and ClickHouse. Responsibilities include designing schemas, integrating unfamiliar data sources, monitoring pipeline health, debugging incidents, improving observability, supporting restricted-environment deployments, and participating in on-call operations. The role collaborates with forward-deployed engineers and requires full-time onsite work in New York City, occasional travel to Arlington, and eligibility for a U.S. government security clearance.

Analyzes and resolves vehicle commissioning, software validation, and diagnostic issues in a production environment. Responsibilities include testing software and vehicle functions, analyzing CAN logs and ECU data, tracking defects, developing fault-finding processes, creating dashboards and reports, troubleshooting data loggers, and collaborating with validation, production, and after-sales teams. The role also supports scalable validation data systems and process optimization.

Own business metadata and data governance activities across Finance, Commercial, HR, and Marketing. Partner with data stewards and domain owners to define, certify, map, validate, and publish business terms, metrics, KPIs, and data assets in Unity Catalog. Facilitate definition workshops, resolve terminology conflicts, improve Excel and Python intake processes, establish governance workflows, and document metadata lifecycle procedures.

Build and evolve scalable AWS data platforms, enterprise data warehouses, pipelines, models, and integrations. Develop Redshift schemas, implement data quality and observability controls, optimize data jobs, and support lineage and documentation. Partner with data science, analytics, and business teams to deliver reliable datasets. Participate in Agile ceremonies, code reviews, automation, and mentoring while promoting modern, reusable data engineering practices.

Own end-to-end infrastructure for large-scale AI training and inference, including GPU cluster orchestration, preprocessing pipelines, storage and network I/O, production inference optimization, multi-cloud deployments, infrastructure as code, and reliability. The role requires continued hands-on coding and technical ownership of substantial systems using Kubernetes, Python, Go, Terraform, and performance-oriented languages.

Secure cloud infrastructure, Kubernetes, containers, data pipelines, identity systems, secrets, CI/CD workflows, and software supply chains. Implement Terraform guardrails, encryption, network segmentation, IAM controls, observability, threat modeling, incident response, red-team exercises, tabletop drills, penetration testing, and compliance controls for creator and AI training data.

Build and operate highly available, reliable, and scalable distributed data services for Slack. Responsibilities include developing critical infrastructure such as edge caches, enterprise key management, data residency, image proxying, and shared-channel services. The role requires deep distributed-systems expertise, production infrastructure ownership, debugging complex architectures, and making sound engineering and product trade-offs. Services process millions of events per second and use Go, Java, and related cloud-native technologies.

Design, build, and maintain large-scale, fault-tolerant cloud data protection services for SaaS applications. Develop backup and recovery systems, APIs, administrative UIs, monitoring, automation, and build infrastructure. Troubleshoot scalability, stability, and critical production issues; collaborate with product and customer-facing teams; lead projects, conduct code reviews, and mentor junior engineers.

Develop robotics datasets and evaluations for embodied AI systems. Responsibilities include defining data schemas, annotations, quality standards, collection protocols, validation tools, and review workflows. The role also involves running experiments to assess how data quality and structure affect model performance, collaborating with research, engineering, vendors, and customers, and taking research tools from conception through deployment.

Design, build, test, and scale Gusto’s payments infrastructure and platform. Make architectural decisions focused on fault tolerance, scalability, and modularity; modernize Ruby/Rails and TypeScript/React systems; collaborate across engineering, product, design, data science, and operations; deliver software supporting millions of businesses; and mentor fellow engineers.

Leads the end-to-end architecture, deployment, operation, and scaling of AI compute infrastructure for orbital data centers. Owns GPU/CPU, networking, storage, orchestration, cloud-platform, spacecraft network, testing, and qualification strategies. Builds and manages the compute payload engineering organization, leads hardware/software co-design, and makes supplier, component, technology-partner, and make-or-buy decisions. Requires extensive hyperscale, HPC, AI infrastructure, GPU cluster, hardware, networking, storage, and team leadership experience.

Owns end-to-end spacecraft design and development for orbital data centers, including power, thermal, compute, communications, structures, and mechanisms. Leads complex CREO modeling, trade studies, structural and thermal analysis, tolerance analysis, and hardware verification and validation. Provides technical leadership to multidisciplinary engineers while remaining hands-on, collaborating with manufacturing and electrical engineering teams, and presenting design recommendations to program leadership.

Own and refine financial and profitability metrics, build curated data models, dashboards, and analytical views, and analyze large-scale financial data. Partner with Finance, Product, Operations, and Data teams to support planning, capital allocation, KPI development, reconciliation, and data quality. Design GenAI-powered self-service analytics tools and communicate insights, assumptions, and recommendations to technical and senior business stakeholders.

Manage the health, performance, reliability, and cost of customer Snowflake and Databricks environments. Responsibilities include customer onboarding, account and warehouse setup, permissions, data ingestion, query optimization, cost reporting, incident response, escalation support, and automation using Python and Terraform. The role also advises customers and internal teams on data platform best practices and participates in on-call rotations.