Top Data Engineer Jobs in Portugal

Build and maintain data integration interfaces and ingestion pipelines between EHR systems and the Bayesian platform. Collaborate with client technical teams, implement automated integration tests, deploy and support go-lives, troubleshoot data correctness end-to-end, and develop tooling and automation (including LLM-driven) to scale integrations.

Lead electronic warfare (EW) research and mission data (MD) development, validation, and testing. Support EW system programming/reprogramming, prepare V&V test plans, manage MD configuration control, collect and analyze test data, and coordinate with systems engineers. Requires travel (domestic/international) and TS/SCI clearance.

Lead and deliver enterprise data programs: design Snowflake-based data solutions, data models, ETL and warehouse applications, provide architecture direction, drive technology transformation, collaborate with stakeholders, and apply advanced analytics (ML/AI/GenAI).

Design, build, and operate the Semantic Data Team's control plane and DataOps backbone. Implement orchestration, observability, governance (lineage, RBAC, PII protection), RAG/LLM-driven workflows, self-service portals, quality gates, and integrations with ingestion, MDM, and data product layers to deliver trusted, production-grade semantic data assets.

Design and optimize data center heat rejection and HVAC systems, perform heat load calculations and CFD airflow analysis, select cooling systems, ensure redundancy and energy efficiency, coordinate with electrical/mechanical trades, and support capacity planning and air quality controls.

Design and implement scalable, production-quality data solutions using cloud-based big data technologies. Develop and optimize Spark/Hive workflows, write code in Scala/Python/Java, perform performance tuning, participate in SDLC and agile processes, and collaborate to identify and execute improvements.

Design, evaluate, and productionize generative AI/ML solutions (RAG, agents, embeddings, retrieval). Build evaluation frameworks for hallucination detection, benchmark LLMs, optimize prompts/models, create datasets, fine-tune models, and collaborate to deploy and monitor enterprise-scale GenAI systems.

Design, build, and maintain scalable analytics pipelines and data models. Write efficient SQL, create dashboards and reports, monitor data quality, and partner with cross-functional teams. Leverage AI tools to accelerate analytics workflows and improve decision-making across the company.

Implement Redpoint Customer Engagement Hub and RPDM ETL, data hygiene, and identity resolution. Build data ingestion/automation, troubleshoot client implementations, collaborate with development and project teams, and support product feature identification.

Design, architect, and build low‑latency, high‑throughput real‑time streaming systems that ingest, process, and distribute market data to trader GUIs. Collaborate with trading, infrastructure, and support teams to ensure accurate tick‑to‑trade delivery, operate and debug production systems, set technical direction, and mentor other engineers.

Develop and maintain security observability dashboards for vulnerability scans, actions, and traceability. Gather requirements with stream leads, design and implement dashboards, provide team training on the stack, and support ongoing dashboard creation.

Lead design, development, testing, and deployment of complex, high-performance Tableau dashboards for media metrics. Architect scalable Tableau data sources with cloud warehouses, translate advanced models into visualizations, establish visualization standards, collaborate with data engineers/scientists, manage stakeholders, and mentor junior developers. Build and support a BI portal, integrate Tableau APIs and backend AI agents, and ensure performance and governance for large datasets.

Own customer data migration projects end-to-end: review, clean, map, import, validate, and QA records (events, tickets, customers, orders, donations, opt-ins, seating). Troubleshoot and monitor integrations (POS, CRM, marketing, reporting) using SQL, CSVs, APIs, webhooks, logs and admin tools. Build repeatable playbooks, documentation, and processes to reduce engineering dependency and ensure production data accuracy.

Lead design and implementation of scalable GCP-based data pipelines and semantic layers for enterprise healthcare analytics. Drive ingestion automation, BigQuery optimization, ETL/ELT orchestration, observability, data quality, and metadata management. Provide technical leadership, mentor engineers, and collaborate with architects and stakeholders to deliver production-ready cloud data solutions.

Design, build, and operate large-scale batch and real-time data pipelines. Implement ingestion, transformation, orchestration, streaming, and downstream delivery using Kafka, Spark, cloud platforms, and workflow tools. Ensure reliability, scalability, performance, security, secrets management, and observability while collaborating with Agile teams to support enterprise analytics workloads.

Design, implement, and own Oracle data architecture and schemas for a cloud-native centralized data platform. Develop PL/SQL/SQL artifacts, optimize performance, enforce data standards, support ETL/CDC pipelines, ensure secure scalable database solutions, and collaborate with cross-functional teams to deliver mission-ready data products.

Early-career role to build, operate, and improve cloud data/analytics platforms (Fabric, Snowflake, Databricks). Support platform operations, CI/CD for analytics assets, onboarding for BI tools (Power BI/Tableau), runbooks, monitoring, incident response, and basic security/governance. Work under senior mentorship and contribute to automation, deployment templates, and performance triage.

Lead architecture, operation, and improvement of cloud data and analytics platforms (Fabric, Snowflake, Databricks). Own CI/CD for data assets, BI delivery (Power BI/Tableau), reliability, monitoring, incident response, security, and governance. Enable teams through standards, runbooks, and onboarding; troubleshoot performance and ensure production stability.

Design and implement AI-optimized data platforms and production ETL/ELT pipelines, build semantic and analytical layers, write production-ready SQL/Python code, collaborate with stakeholders and analytics teams, and contribute to the firms data engineering practice and client delivery.

Lead and deliver AI-optimized data engineering solutions: design cloud data platforms, build ELT/ETL pipelines, implement semantic/analytic layers, write production SQL/Python/Spark code, apply AI-assisted tooling, and lead small teams on client engagements.

Build, operate, and modernize a cloud-native enterprise data platform powering SaaS AI products. Responsibilities include data ingestion, storage, querying, quality, governance, and operational excellence, collaborating with engineers to deliver scalable, maintainable solutions and refactor legacy systems.

Lead architecture and engineering for enterprise healthcare data platforms. Design and implement scalable data warehouses, lakehouses, ETL/streaming pipelines, data governance/security, APIs, and infrastructure as code. Advise stakeholders, mentor teams, optimize performance and costs, and ensure compliance with clinical data standards (FHIR, HL7, OMOP) while delivering reliable data products for internal and external users.

Build and maintain governed, activation-ready marketing data products in Snowflake. Design canonical marketing data models, event-streaming, identity resolution, quality checks, and reverse-ETL activation for marketing, CRM, paid media and AI use-cases. Enable predictive scoring, attribution, and AI-ready context layers while partnering with cross-functional stakeholders.

Design, program, test, install, and commission SCADA, relay, and PLC systems (primarily SEL/RTAC). Produce schematics, configuration files (IEC61850, DNP3, MODBUS), AutoCAD drawings, perform field commissioning/troubleshooting, and prepare project documentation. Support clients and perform periodic interstate field assignments.

Lead ETL and data architecture for AML, trade/sales surveillance, and compliance data repositories. Design and develop complex Informatica PowerCenter 9.1 mappings, enforce ETL architecture standards, tune performance, automate and maintain ETL utilities, collaborate with BAs and DBAs, provide production support, and mentor junior ETL developers.