Top Data Engineer Jobs in Portugal

As a Senior/Staff Data Engineer at StackAdapt, you will design scalable real-time data pipelines, implement architectural improvements for big data ML pipelines, and work on microservice architectures for ML models. You'll collaborate with data scientists and engineers to solve complex issues within digital advertising.

The Senior Data Engineer will develop and optimize data pipelines, manage and analyze large datasets, and ensure data integrity. They will collaborate with cross-functional teams to provide insights and support data-driven decisions, leveraging cloud technologies and ETL processes.

The Data Engineer 4 role involves developing and overseeing the company's data systems, optimizing database solutions, managing data migrations, and ensuring compliance with regulations. The incumbent will analyze data needs, recommend improvements, and collaborate with product teams for strategic initiatives, ultimately enhancing customer experiences.

The Software Engineer - Data will design, develop, and maintain large-scale applications and pipelines, focusing on automation and the optimized use of data in renewable energy. Responsibilities include API development, scripting, backend support, cloud services management, and cross-functional collaboration.

The Staff Data Engineer will design and maintain scalable data pipelines, develop full-stack applications, integrate data sources, architect data platforms, implement automation tools, and collaborate with teams to enhance AI-driven products.

The Senior Data Engineer will develop and implement an automated data lake solution while collaborating with Agile teams. They are responsible for creating complex ETL pipeline jobs, centralizing data, and designing distributed system architectures.

The Machine Learning Engineer will work on AI-powered software development, focusing on multimodal capabilities including vision and audio. Responsibilities include designing data pipelines for model training, improving model performance through experimentation, and collaborating with various teams.

The Senior Data Engineer will design and build data architecture and scalable data pipelines, enabling advanced analytics and machine learning within the healthcare industry. Responsibilities include creating automated data flows, collaborating with infrastructure and data science teams, and shaping the data roadmap while ensuring high data quality and performance.

As a Senior Data Engineer, you will implement technology strategies, develop scalable data pipelines, build API integrations, and ensure data quality for critical stakeholders. You will also influence the engineering team through code reviews and design sessions and contribute to architectural patterns for data access.

The Lead Data Engineer will oversee the design and construction of data pipelines, mentor a team of Data Engineers, enhance existing software programs, lead the adoption of new technologies, and ensure effective data solutions aligned with the firm's strategic goals.

The Data Protection Engineering Senior Engineer will design and implement Backup, Recovery, and Ransomware protection solutions. Responsibilities include providing data protection, collaborating with leadership, implementing technology changes, and supporting various backup products in a hybrid cloud environment.

As a Senior Data Product Engineer at Enigma, you'll design and develop impactful data products for small businesses, ensuring high-quality solutions that address customer needs. Your role involves building scalable data pipelines and analyzing large datasets to deliver value. You'll engage directly with customers to iterate on solutions based on their feedback while tackling complex engineering challenges in a collaborative environment.

As a Senior Software Engineer on the Data Product team, you'll design and implement scalable data services that analyze blockchain transactions. Collaborate across departments to create innovative data models that enhance TRM’s products, ensuring efficient data retrieval and processing at scale.

The role involves building and maintaining a secure cloud-hosted laboratory for data science teams at the US Department of Treasury. Responsibilities include developing data pipelines, implementing tools like Databricks, managing AWS services, and ensuring compliance with data security and AI principles.

The Principal Data Engineer will architect and implement scalable data solutions, lead the data engineering team, optimize data performance, and ensure data governance and security compliance. The role involves collaboration with product managers and technical mentorship to enhance the data ecosystem of the organization.

The Senior QA Automation Engineer (Data) is responsible for implementing automated testing frameworks, mentoring junior QA engineers, and collaborating with cross-functional teams to ensure quality testing processes. This role ensures that testing strategies are effective and aligned with best practices while analyzing test results for improvements.

As a Senior Data Engineer at CLA, you will build data pipelines and solutions using Azure technologies, collaborate with team members to enhance software processes, troubleshoot data issues, implement new technologies, and provide reporting for internal and client needs.