Top Data Engineer Jobs in Portugal

Design, automate, and secure geospatial data ingestion, processing, and dissemination for NGA MC&G. Build APIs, maintain Python codebases, implement ETL and database security, integrate CI/CD and IaC security, and collaborate with GEOINT teams to enforce data integrity and quality checks.

Lead design, build, test, and maintain scalable cloud data platforms and pipelines (ETL/ELT, batch and streaming). Ensure data quality, governance, security, CI/CD deployment, performance tuning, migration/archival, and mentor data engineering teams to support analytics and AI/ML use cases for a federal modernization program.

Design, build, test, and maintain scalable cloud-based data platforms and ETL/ELT pipelines (batch and near-real-time). Implement data models, data marts, governance, metadata, CI/CD and IaC, optimize pipeline performance, support migrations/DR, produce documentation, and collaborate with architects, DBAs, and stakeholders to meet federal security and audit requirements.

Lead design and execution of data migration, archival, and disaster recovery for a cloud-based court case management modernization. Own migration strategy, data lifecycle and retention, DR/HA design and drills, tooling evaluation, documentation, and coordination with Data Engineering, Governance, Security, and stakeholders to ensure auditable, resilient, and compliant migrations.

Design, build, and deploy enterprise-grade LLM and Generative AI solutions (RAG, agents, vector DBs, semantic search). Architect APIs, integrations, and production pipelines; evaluate emerging AI tools; implement governance, security, observability, and reusable AI platform components to drive business adoption.

Analyze sensor data from nuclear plants using AMS online monitoring methodology and proprietary tools to identify instrument performance issues, prepare technical reports, support field data acquisition and testing, and follow quality-assured procedures to inform maintenance and calibration decisions.

As a Backend Engineer, you'll build backend services for candidate-job matching and marketplace workflows, focusing on APIs, data models, and operational systems.

Lead development and integration of piloted aircraft displays and processing components. Perform requirements development, MBSE, systems engineering V-model activities, trade studies, performance analyses, supplier technical management, integration/verification planning, flight/mission engineering, risk analysis, and stakeholder communication to deliver and validate avionics display and control solutions.

Lead engineer for TJX's Enterprise Test Data Management platform responsible for designing, implementing, and supporting scalable TDM solutions (K2View), enabling data provisioning, masking, synthetic generation, CI/CD integration, and mentoring teams. Collaborates with architecture, security, and infra to ensure compliance, performance, and automation across SDLC and test automation workflows.

Design, build, test, and maintain high-quality data pipelines and storage systems. Collaborate with architects, analysts, scientists to enable data ingestion, transformation, real-time analytics, and data reliability. Write efficient code, unit/integration tests, and apply DevOps/SDLC practices while ensuring data security and cloud infrastructure best practices.

Design, build, and operate large-scale Hadoop-based data processing pipelines and analytics platforms. Ingest, transform, and analyze structured and unstructured data to support enterprise analytics, ML, and reporting. Ensure reliable, performant production systems, troubleshoot issues, and document solutions.

Lead design and delivery of scalable data platforms and pipelines on Google Cloud. Build and review Python/SQL code, drive data architecture using BigQuery and GCP tooling, own ingestion/transformation/orchestration, lead client technical discussions, prototype solutions, mentor engineers, and implement IaC, CI/CD, observability, and governance.

Design and codify enterprise streaming (Kappa) architectures on Microsoft Fabric and Kafka. Build reusable frameworks, replay/backfill patterns, idempotent processing, schema-drift handling, monitoring dashboards, and templates to enable standardized, production-grade real-time pipelines and developer-friendly streaming frameworks.

Design, build, and run data-heavy features for financial products, improve data models, pipelines, migrations, and multi-tenant systems. Work in a TypeScript monorepo, operate serverless AWS infrastructure, integrate LLM APIs, monitor production, and lead pragmatic technical decisions.

Design, develop, modernize, and support Fixed Income credit market data and risk technology platforms. Partner with traders, quants, and risk teams, drive reliability and operational excellence, and participate in production support for critical trading applications.

Lead validation and test automation for data pipelines, APIs, and AI-driven workflows. Design and execute ETL and data-quality tests, build automation frameworks, perform manual validation for edge cases, triage production data issues, and collaborate with ML, Data, and Engineering teams to ensure reliability, scalability, and compliance for healthcare data products.

Lead design, build, and operate a secure, scalable data platform to support analytics, MLOps, and BI. Architect data warehousing (Databricks, dbt, Spark), build ETL pipelines, optimize cloud storage and processing in GCP/AWS, implement LLM infrastructure and serving, create observability and BI dashboards, and ensure data governance and regulatory compliance (HIPAA/SOC-2). Collaborate with Data Science, ML, App, and DevOps teams.

Own and build the end-to-end desktop and server platform for human-feedback data collection: integrate Electron and a C#/.NET recorder, implement anti-cheat/fraud detection, operate the payments ledger in Java/Spring Boot with Postgres, build Next.js admin tools in TypeScript/React, harden deployments on GCP and Cloudflare, run marketplace A/B cohort mechanics, and build compliance tooling.

The Senior Data Engineer will design, implement, and manage data pipelines for real-time analytics and ML training datasets, ensuring efficient data flow and quality in a hybrid environment.

Design, build, and operate core data and streaming platform capabilities for edge and hybrid environments. Own ingestion, contextualization, streaming, schemas, contracts, validation, lineage, and internal telemetry systems. Build connectors for OT/IoT and enterprise systems, ensure reliability/observability, support production readiness, and partner with engineering and customer teams to scale durable data capabilities for AI and operations.

Lead development, tuning, and optimization of incrementality and attribution models for podcast advertising. Build, test, and refine statistical models on large datasets, collaborate with product and data teams, translate findings into actionable insights, and improve measurement methodologies to quantify ad impact.

Own and operate Databricks production data pipelines for Sugar Predict: ensure reliability, cost and performance optimization, migrate legacy ETL, enforce Delta Lake and multi-tenant data isolation, implement data quality and observability, support customer onboarding, apply CI/CD and security best practices, and participate in on-call incident response.

Design, build, and maintain production-scale data systems and web-scale datasets (Spark/Flink) to support personalization ML. Drive dataset/schema design, collaborate with algorithm teams, and improve distributed big-data processing for member experience.

Design and operate large-scale data platforms in the cloud, develop data pipelines, support analytics and machine learning, and mentor junior engineers.

Design, build, and operate production-grade realtime and batch data pipelines and internal data products. Ensure data correctness, tooling for backfills and reports, and partner with product/business teams to prioritize data acquisition and improvements. Work across query engines and streaming frameworks to support analytics, monitoring, and debugging for product and business stakeholders.