Top Data Engineer Jobs in Portugal

Lead architecture and implementation of high-performance software to deploy and operate AI/ML models for network threat detection. Build autonomous AI agent workflows, production ML pipelines, and services; drive cross-team engineering standards, mentor engineers, and represent technical direction to leadership.

Own ingestion, transformation, validation, and normalization of clinical and EHR data pipelines (HL7 v2, FHIR, CDC) into performant Snowflake and MySQL schemas. Build and monitor AWS-based pipelines, ensure data quality and PHI-compliant handling, and support downstream ML and application needs across enterprise integrations.

Lead design, implementation, and operation of large-scale, low-latency distributed data platforms and stream processing. Own RTAP architecture, build/optimize services (Flink, Spark, ClickHouse, Druid), integrate batch/stream lakehouse patterns, apply AI tooling to automate platform workflows, mentor engineers, and lead production incident response and reliability improvements.

Lead design and implementation of scalable Databricks ETL/ELT pipelines and data architectures for marketing analytics, manage 1-2 projects, liaise with stakeholders, ensure data quality, monitoring, and delivery of analytics-ready datasets.

Design, build, and maintain scalable ETL/ELT pipelines, data warehouses, and data lakes. Ensure data quality, governance, and security while enabling BI and analytics. Provide technical leadership, mentor junior engineers, and collaborate cross-functionally to drive architecture and implementation.

Design, build, and maintain scalable real-time and batch data pipelines and platform architecture. Ensure data quality, enable BI/AI/ML productionization, mentor engineers, and deploy data products and ML models.

Model and simulate BESS for data centers and large loads across steady-state, dynamic (RMS), and transient (EMT) domains. Validate inverter and control performance, ensure grid interconnection compliance, prepare engineering deliverables, conduct model quality checks, and coordinate with stakeholders and consultants throughout project phases.

Lead a team of data engineers to design, build, and maintain scalable data pipelines, a Data Vault, data warehouses and marts. Own backlog, sprint planning, mentoring, stakeholder collaboration, data validation/monitoring, and platform improvements to deliver key metrics and data infrastructure across the business.

Lead growth and technical delivery of power system studies for data centers, focusing on T&D planning, interconnection, operations, and equipment application. Oversee load flow, fault, dynamic, and protection studies using PSCAD and PSS/E, assess grid impacts, support projects from concept through implementation, represent the company in industry forums, and drive business development with utilities, developers, and EROs.

Founding data hire who builds end-to-end pipelines and models to convert messy enterprise data into AI-ready assets, defines data packs and ontologies, and builds internal tooling and automation so work compounds across customers. Works embedded with customer teams, partners with product and AI engineers, and makes architectural decisions about storage, orchestration, and data models.

Design and build advanced data visualizations for complex datasets within a Sales Analytics platform. Develop interactive, data-driven web applications (SPA) using D3.js, AngularJS, WebGL and modern front-end technologies to enable business decision-making.

The role involves building data platforms and pipelines, integrating AI solutions, and collaborating with product owners to address complex client issues.

The job involves developing machine learning algorithms, designing data pipelines, utilizing cloud infrastructure for ML solutions, and ensuring model governance practices.

Own and modernize the legacy SQL data estate: support and stabilize SQL Server databases, build and modernize ELT pipelines (including SAP integration), create analytics-ready data models, ensure HA/DR and recovery objectives, and operationalize data governance and privacy (GDPR/CCPA). Serve BI, reporting, and AI consumers while partnering with architecture, DBA, and GRC teams.

Build and maintain enterprise data platform and ETL/ELT pipelines, design and deploy data models, ensure data quality and governance, integrate third-party sources, and support analytics and AI initiatives across the organization.

Design and implement real-time MAC data-plane software for high-throughput satellite links. Build packet-processing pipelines, queue and buffer management, retransmission and loss recovery, and integrate with PHY, modem, FPGA, DMA, and SoC hardware. Optimize for low latency and high throughput using zero-copy, scatter-gather, lock-free structures, and hardware offload. Lead architecture through prototyping, hardware integration, performance qualification, and operational deployment while diagnosing timing and synchronization issues.

Support Data Center vertical by defining product requirements, conducting field research, supporting customer engagements and pre-sales, shaping GTM strategy, training sales/channel partners, and providing application guidance for switchgear, ATS, modular power, and engineered power management systems.

Design, develop, and maintain enterprise ETL pipelines and scalable data processing using ADF, Informatica, Python, Spark/Databricks, and relational systems. Support Medicaid analytics, data validation, cloud migrations, production operations, and CI/CD practices.

Designs, develops, troubleshoots, and debugs software programs and tools supporting design, infrastructure, and technology platforms. Works on operating systems, compilers, networking equipment, utilities, databases, and cloud/Internet tools. Evaluates hardware compatibility and influences hardware design decisions.

Lead the end-to-end vision and architecture for a governed, multi-tenant data platform: design real-time ingestion and streaming, transformation and storage for mixed workloads, unified access and tenant isolation, observability and governance, cost controls, and organizational standards. Drive benchmarks, cloud choices, security compliance, and mentor senior engineers while guiding multi-year, company-wide adoption.

Design, build, and maintain a petabyte-scale open-source data lakehouse and end-to-end data pipelines (ingest → transform → consume) ensuring performance, reliability, and data quality for analytics workloads.

Design and own end-to-end data platform architecture, build ingestion and transformation pipelines, model multi-tenant datasets, optimize Postgres and ClickHouse performance/cost, implement orchestration and observability, define data quality and reconciliation standards, and mentor data/product engineers.

Design, develop, and test algorithms for real-time optical sensor platforms; perform data reduction, statistical analysis, and research new methodologies; work with multi-camera geometry, tracking, data fusion, and filtering; collaborate across teams and present findings; support lab and field testing of land, sea, and air sensors.

Design, build, and operate large-scale offline data infrastructure and pipelines for ML training and experimentation. Improve reproducibility, observability, performance, and cost-efficiency across batch and streaming workloads while integrating orchestration systems and partnering with ML engineers.

Lead design and delivery of an egocentric video data product: capture rigs, edge processing, dataset pipelines, VLM-assisted annotation, and production-ready perception models (detection, tracking, segmentation, depth/3D reconstruction, and 6DoF pose estimation). Operate and scale warehouse capture programs and own model training, evaluation, optimization, and deployment.