Top Data Engineer Jobs in Portugal

Product-oriented senior ML role to build, deploy, and operate models and ML systems (classification, extraction, entity resolution, clustering, ranking, anomaly detection, forecasting, LLM pipelines). Define datasets, labeling, evaluations, monitoring, and collaborate with engineering and product to ship production-quality training/inference pipelines and model-serving infrastructure.

Lead design and scaling of ELT pipelines and analytics schemas on Snowflake. Build Looker views, CI/CD automation, and orchestration workflows (Prefect/Airflow). Ensure production reliability with monitoring (Datadog, Monte Carlo), partner with cross-functional teams, and provide technical leadership including code reviews, testing, and end-to-end ownership of data integrity and platform trustworthiness.

Design, implement, and administer operational data flows: ingest, clean, enrich, transform, secure, and move mission-critical data. Perform exploratory data analysis, troubleshooting, and collaborate with customers to ensure compliant, reliable data pipelines.

Build and operate scalable data ingestion, transformation, and connector frameworks; design and maintain a knowledge-graph-based data fabric; normalize and vectorize enterprise data for LLM/AI workflows; implement governance, lineage, access controls, and secure APIs to serve ML/agent pipelines.

Design, build, and support scalable data platforms and pipelines (ETL, warehousing, APIs) using DBT, Snowflake, and SQL. Collaborate with architecture, security, and application teams, build CI/CD, provide escalated on-call support, mentor staff, and deliver data solutions for the bank.

Looking for a Data Engineer focused on data visualization with experience in handling real-world data and effective communication through data. Extra credit for skills in probabilistic classifiers and full-text search engines.

Serve as a senior technical lead for data engineering consulting: work with customers, design complex data models, write and review efficient code, resolve complex bugs, mentor engineers, lead cross-functional development, and plan/execute automated and performance tests to deliver high-quality data solutions.

Design, build, and optimize scalable Azure-based data pipelines and data warehousing solutions. Implement ETL/ELT, data cleansing, validation, batch and real-time processing, monitor and troubleshoot pipeline performance, ensure data governance and security, document data flows, and collaborate with analysts and stakeholders to deliver reliable analytics-ready data.

The Data Engineer will design and develop data solutions utilizing big data frameworks and tools, while ensuring effective data management and BI dashboard creation in a remote environment.

Leads enterprise data integration and engineering capabilities, including APIs, middleware, ELT pipelines, data governance, master data management, and cloud analytics platforms. Designs secure, compliant integrations across ERP, CRM, clinical, research, quality, finance, and commercial systems. Establishes architecture standards, data quality controls, monitoring, validation, and support processes while coordinating internal engineers, vendors, and business stakeholders. The role also provides technical leadership for trusted datasets, regulatory compliance, operational reliability, and commercialization readiness.

Leads data engineering strategy, architecture, delivery, support, and lifecycle management for secure, scalable cloud and hosted data solutions. Collaborates with technical and business stakeholders to deliver complex datasets, establish enterprise data standards, manage data engineering teams, and oversee maintenance, change management, capacity planning, business continuity, disaster recovery, and regulatory security requirements. The role also evaluates third-party tools and supports Azure DevOps, SDLC, CI/CD, and technical innovation.

Leads data engineering for Payment Operations monitoring transformation. Designs and maintains Snowflake pipelines, tables, stored procedures, monitoring scenarios, KPI infrastructure, and data quality controls. Serves as the Snowflake subject matter expert, documents architecture and operational processes, guides technical partners, and translates business needs into scalable data solutions. The role requires production data engineering experience, advanced SQL, Snowflake expertise, job scheduling, pipeline operations, and stakeholder communication.

Develop, test, and maintain IBM DataPower interfaces and systems using SOAP, REST, JSON, XML, XSLT, and backend orchestration. Configure web service proxies, caching, security, and appliance administration. Support new system implementations, enhancements, maintenance, documentation, and security technologies including authentication, entitlements, and encryption.

Build and scale a growth data platform: design queues and workers for enrichment, routing, assignment, and activation; integrate CRM, ads, intent, and enrichment vendors; convert experiments into reusable platform primitives; and debug production issues across Snowflake, dbt, Dagster, AWS, vendor APIs, webhooks, and downstream systems.

As a Research Engineer, you'll enhance visual understanding capabilities by training and deploying models to make video datasets queryable, driving down costs, and collaborating on data taxonomy design.

The Lead Engineer for BI will design data solutions, lead project teams, mentor, and drive BI strategy aligning with business needs.

The Sr .Net Developer will enhance and maintain the ADE SIS web applications, mentor staff, and ensure accurate data submission and analysis.

Supporting Regulatory Reporting in the capital markets sector, focusing on Axiom SL implementation and integration with Hadoop as a data repository.

The Senior Big Data Developer will lead projects through the software lifecycle, including requirements capture, design, development, acceptance testing, and implementation.

The role involves Oracle database administration, data migration to cost-effective solutions, architecting solutions for legacy systems, and AWS RDS implementations.

The role involves providing application development and advisory services for various projects on a Data Lake, utilizing technologies like Hadoop and GreenPlum.

As a Research Engineer, you'll enhance AI models through post-training and evaluation pipelines, focusing on data quality and performance metrics.

As a Staff Software Engineer, you'll lead the architecture and implementation of core systems and data platforms, ensuring adaptability and planning technical strategies.

As a Senior Data Engineer, you will design, build, and maintain scalable data platforms, ETL pipelines, and support analytics and ML workflows, ensuring data quality and cross-functional collaboration.

Design and maintain multilingual datasets, develop data pipelines, implement quality filters, and analyze dataset biases while collaborating with researchers.