Top Data Engineer Jobs in Portugal

Serve as the on-site operations representative for data center construction, enforcing QA/QC standards, performing inspections and walkdowns, verifying MEP installations, documenting progress, coordinating with design and commissioning teams, and resolving engineering issues to ensure construct meets operational requirements.

The Senior Data Engineer will build and maintain ETL/ELT pipelines, optimize SQL queries, and collaborate on machine learning workflows, driving data engineering best practices.

The Sr. Software Engineer will own the perception data infrastructure for autonomous vehicles, dealing with large 3D datasets and ensuring high data quality for ML models. Responsibilities include architecting core data platforms, optimizing real-time data rendering, and collaborating across functions to enhance engineering efficiency.

The Senior Data Engineer will design and maintain data architecture and integration solutions, develop enterprise data pipelines, enforce data quality, and mentor junior team members while collaborating with business stakeholders.

Design, build, and maintain scalable data lakehouse platforms and ELT pipelines. Improve engineering practices, develop automation/tooling, monitor performance, reduce costs, and support platform modernization across Azure and cloud data technologies.

The role involves leading the design and delivery of multi-agent systems for underwriting and claims automation, ensuring production readiness and business alignment.

The Senior Data Engineer will develop and optimize software applications and data platforms for NAVOCEANO, supporting mission-critical solutions, data pipelines, and analytics capabilities.

Lead design and implementation of large-scale data pipelines, ETL, and warehousing. Build and manage databases, ensure data quality/security, collaborate with analysts and scientists, evaluate new technologies, mentor junior engineers, and manage project delivery.

As a Staff Backend Engineer, you'll develop scalable data systems for financial datasets, integrating diverse sources while ensuring data integrity and performance, collaborating with AI teams, and leading by example in a fast-paced startup environment.

Design, optimize, and scale Snowflake-based data architecture and pipelines. Implement data observability, operationalize MLOps, build semantic enterprise models, and deploy AI-assisted agents and automation for production analytics and commercial data products. Share cross-functional ownership for pipeline resilience, monitoring, and model lifecycle management.

Design, build, and maintain ETL/ELT data pipelines and domain-oriented data products to support a Digital Thread. Ensure data quality, governance, mapping, and discoverability. Apply software-engineering practices (version control, testing, CI/CD, IaC) for production deployments. Integrate manufacturing and operational systems and prepare AI/ML-ready datasets for analytics and predictive use cases.

The Engineer will support design and procurement of test data instrumentation systems, ensure data integrity, and collaborate with cross-functional teams on testing requirements and data acquisition systems.

The role involves designing and scaling the data platform for Actively AI, including integrating data from various sources, ensuring data quality, and supporting real-time decision-making for automated agents.

Build and scale the data infrastructure for Actively AI's platform, focusing on pipelines, transformations, and operational data management. Ensure data quality and real-time processing.

The Senior Data Engineer will develop data pipelines, analyze geospatial data, implement quality assurance processes, and support database synchronization with APIs, contributing to climate risk financial modeling.

As a Senior Data Engineer, you'll build ETL pipelines, design data ingestion systems, and maintain a multi-cloud ecosystem while collaborating with Data Scientists to transform data into business insights.

The Data Engineer/Scientist extracts insights from complex data sets, optimizes algorithms, ensures data quality, develops BI solutions, and mentors junior team members.

The Automation Engineer designs, develops, and maintains data pipelines and API integrations for scientific workflows while ensuring compliance with industry standards. The role involves collaboration with scientists and the use of various technologies to optimize data processes.

Responsible for utilizing Hortonworks architecture and tools such as Hadoop and Spark for data analysis and engineering tasks. Candidates should have relevant experience and may be considered for contract-to-hire roles.

As a Sr. Data Engineer at Lyra Health, you will build and scale core data infrastructure, design data warehouses, and create efficient data pipelines while collaborating across departments.

Seeking a Big Data Engineer with 5+ years in data technologies, expertise in RDBMS, cloud storage, data architecture, and experience with Hadoop.

The Big Data Engineer will develop applications using Java and process large data sets using Hadoop components. Responsibilities include managing projects, leading teams, and ensuring performance targets are met.

The Big Data Engineer will build and code applications using Hadoop components and various programming languages, enhancing data management and analytics capabilities.

The Sr. Ab Initio Data Integration Engineer will maintain ETL processes, troubleshoot performance issues, and provide documentation for the data warehouse environment.

As a Lead Data Engineer, you will architect data foundations for AI applications, lead a team, optimize data pipelines, and ensure data governance.