Top Data Engineer Jobs in Portugal

Lead design and implementation of scalable data architectures in Azure/Databricks/Fabric, enhance governance (Unity Catalog), improve data quality frameworks, build resilient ingestion/transformation pipelines, modernize CI/CD and source control, support production and analytics/AI use cases, and collaborate with stakeholders to move proofs-of-concept to enterprise solutions.

Design, build, and maintain scalable Azure-based data pipelines, lakes, and warehouses. Create ETL/ELT processes, dimensional models, and business-ready datasets. Support reporting and Power BI, implement data quality, governance, monitoring, and document platform architecture and processes while partnering with stakeholders.

Design, build, and deploy agentic AI solutions (Google Gemini, Claude, ADK); maintain BigQuery data warehouse and ETL pipelines; troubleshoot tracking across Google Analytics, Omeda, Piano, and Salesforce; create dashboards and monitoring to ensure data quality and measure agentic impact across Sales, Marketing, Editorial, and Finance.

Lead the development and operation of a data lake for cyber operations, design schemas and indexes, build and evolve ETL pipelines, mentor engineers, and drive technical initiatives.

The role involves leading the development of data lakes, designing schemas, building ETL pipelines, and mentoring engineers while ensuring data quality and performance.

The Senior Data Engineer will design cloud-based data storage solutions, develop ETL/ELT pipelines, and support AI operations while managing data access layers and governance best practices.

The role involves integrating software components for lunar vehicles, generating software interface documents, and supporting data configuration and integration efforts. Responsibilities include developing software tools, prototypes, and simulations to facilitate integration processes and ensure data requirements are met.

Design and maintain infrastructure for large-scale multimodal training and evaluation. Collaborate with researchers to build reliable distributed data systems.

As a Senior Data Engineer, you'll design data architecture, manage data pipelines, develop secure production code, and collaborate with cross-functional teams to innovate healthcare technology solutions.

The Sr. ETL Informatica Systems Engineer develops ETL applications for the EDW/BI program using Informatica tools, managing complex SQL and APIs.

The role involves leading the development of Data Science and AI curriculum, mentoring junior developers, and ensuring high-quality content aligned with educational objectives.

The role involves developing and deploying machine learning models, conducting analytical studies, and integrating solutions into software. Responsibilities include mentoring team members and improving decision-making using data insights.

The Senior Staff Physical AI Data Algorithm Engineer is responsible for designing and optimizing a vehicle-cloud data closed-loop architecture, managing data toolchains, and ensuring high-quality data standards throughout the model development cycle.

The Senior Data Engineer will design and build scalable data platforms, handle automation for data operations, and ensure reliability and performance of data pipelines while collaborating with various teams.

Build and scale Allocate's AWS-based data lakehouse and pipelines (batch and real-time). Model financial entities and integrate internal/third-party sources. Enable ML/AI workflows, vector and knowledge-graph integrations, CI/CD and containerized deployments, and collaborate with engineering to deliver reliable, production-grade data and AI infrastructure.

Design and build scalable, reliable enterprise data platforms and end-to-end data pipelines at petabyte scale. Collaborate on architecture and code reviews, prototype solutions, own software development lifecycle, and apply first-principles thinking to improve Starlink's data capabilities and business impact.

Lead technical evaluations and pre-sales activities for data-driven, AI-powered Salesforce solutions. Design data architectures and AI use cases, deliver demos, proofs of concept, and workshops, advise customers on data ingestion/integration and real-time analytics, and collaborate with sales and marketing to drive revenue.

Lead architecture and implementation of enterprise-scale, production data pipelines and ecosystems for global, customer-facing products. Collaborate with product and engineering leadership, mentor peers, enforce code and CI/CD standards, and optimize data storage and performance for high-availability, defense-focused monitoring solutions.

Design, build, and own core data models, pipelines, and infrastructure for the Eclipse Platform and Data Marketplace. Implement data quality monitoring, collaborate on governance, build dashboards, support leadership reporting, and deliver analytics and ML/NLP solutions.

Design, build, and support full-stack web applications and microservices to provide self-service test data capabilities. Develop Java/Spring Boot backend services and React front-ends, design RESTful APIs, automate test data provisioning, contribute to CI/CD pipelines, and provide production support and engineering best practices across teams.

Design and implement data architecture, build and maintain ETL/ELT pipelines (Snowflake, Airflow, DBT), ensure data quality and accessibility, support onboarding and on-call operations, and collaborate with cross-functional teams to deliver scalable healthcare analytics solutions.

Lead a team to design, build, and maintain cloud data engineering solutions using Microsoft Fabric and Azure Synapse. Responsibilities include architecture, data pipelines, lakehouse and warehousing implementation, governance, performance optimization, mentoring engineers, cross-functional collaboration, support/on-call, documentation, and ensuring reliability and compliance.

Design, build, and maintain scalable end-to-end data pipelines and enterprise data platform components (Snowflake/Python/dbt). Lead architecture, mentor engineers, implement CI/CD, automated testing, and collaborate with stakeholders to deliver healthcare-focused data solutions (payer claims, attribution).

As a Staff Frontend Engineer, you will enhance Airbnb's client tech stack by empowering product teams, optimizing infrastructure, and mentoring engineers.

Design, build, and operate scalable AWS and Snowflake data pipelines and data products to support reporting, analytics, machine learning, and operational decision-making. Develop curated datasets, data models, and complex transformations; troubleshoot distributed systems; ensure security, testing, and reliability; and partner with business stakeholders across Disney Parks in an Agile environment.