Top Data Engineer Jobs in Portugal

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 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.

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.

Design and curate multimodal, multitask datasets and run controlled training experiments to evaluate how data composition affects world-model performance. Build large-scale synthetic data pipelines, filtering and quality-control systems. Define benchmarks and evaluations, and partner with product and creative teams to translate target behaviors into data strategies that enable simulation-driven AI capabilities.

Lead data modeling and engineering efforts, develop data pipelines, implement ETL solutions, and collaborate across teams in a fast-paced crypto-focused environment.

Build and own tooling and data pipelines for synthesis, annotation, validation, and analysis of real and synthetic data to support model training and evaluation. Collaborate with researchers and engineers to align data infrastructure with experiments, maintain documented standards, and develop frameworks to identify coverage gaps and improve data quality.

The Data Infrastructure Engineer will design, build, and operate scalable data infrastructure systems, ensuring reliability and performance while collaborating with various teams at OpenAI.

Design, build, and operate data services and pipelines to ingest, standardize, and deliver clinical data for product, analytics, and ML. Tune Spark workloads, enforce data quality, monitor production systems, and partner with product and engineering. Participate in on-call support.

The Senior Data Engineer will design and develop data systems and pipelines, perform analyses, and collaborate with stakeholders to improve decision-making in healthcare.

The role involves leading software solutions development, optimizing systems, mentoring junior engineers, and collaborating with stakeholders to meet business goals.

The Senior Data Engineer will work with data tuning, big data technologies, and coordinate with technical teams and business users.

The Big Data Engineer will handle large data processing, develop solutions with Java and NoSQL technologies, and support architecture discussions.

The Senior Data Engineer will work with data tuning on relational databases, utilize big data technologies, and coordinate with teams. A strong academic background and experience with large datasets are required.

The Mission Data Engineer role involves conducting research and development for electronic warfare systems, assisting in programming, testing, and data analysis, while collaborating with engineers.

Design, build, and maintain scalable data pipelines and infrastructure on AWS, collaborating with data scientists and AI teams to support analytics and ML initiatives.

This role leads data and AI engineering strategies for R&D, oversees a team of engineers, and ensures compliance with regulatory standards while fostering innovation and collaboration across functions.

As a Data Engineer, you will architect and maintain the data systems, create pipelines and integrations, and ensure data quality for analytics and reporting.

The Software Engineer (Data Management) develops automated security evaluation processes, maintains Pig and PySpark analytics, and ensures data accuracy and reliability for user operations.

The Principal Engineer will architect and develop scalable AI-driven data platforms, mentoring engineers and aligning technical strategies with business goals.

Build enterprise-grade data infrastructure and services supporting research, trading, and AI. Develop agentic workflows leveraging large language models, define service contracts and data models, build reliable scalable pipelines, ensure observability and performance, containerize and orchestrate deployments, and contribute to CI/CD and infrastructure-as-code automation.

The Sales Engineer will support account teams, conduct product demonstrations, develop technical proposals, and analyze customer data scenarios to promote data observability solutions.

Design, build, and maintain scalable data processing pipelines and infrastructure (ETL/ELT). Implement large-scale data processing (Spark, MapReduce, Kafka), support stakeholders with analysis and reporting, ensure secure multi-region data handling, and optimize data delivery for analytics and business insights.

The Data QA Engineer is responsible for ensuring data quality through automated testing frameworks, SQL queries, and collaboration with analytics teams.