Top Data Engineer Jobs in Portugal

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 Data Solution Architect/Engineer designs, develops, and implements data solutions while leading modernization strategies and providing technical guidance to teams.

The Senior Data Engineer will design and build data pipelines, integrate healthcare systems, manage data warehouses, and ensure data quality in a regulated environment.

The Design Data Integrity Engineer ensures the accuracy and compliance of engineering drawings and models, providing quality checks and support for manufacturability.

The Senior Data Engineer will build ETL pipelines, manage data architecture, and enforce engineering best practices within an AI/ML organization, collaborating closely with cross-functional teams.

This role involves designing and implementing data quality monitoring and governance for cyber datasets, collaborating with various stakeholders, and ensuring trusted data through frameworks and automated controls.

The role involves developing AI chatbots, organizing text data, testing virtual agents, and collaborating with customers to enhance user experiences in AI-driven solutions.

The role involves creative web scraping, large-scale parsing or OCR pipeline experience, and requires exceptional attention to detail.

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

Responsible for designing and implementing data hub processes, mentoring engineers, and managing complex data pipelines while ensuring operational efficiency.

The QA/QC Engineer will execute commissioning processes, conduct inspections, manage projects, develop plans, perform tests, and ensure compliance with standards.

Lead data and visualization engineering activities, guide multi-disciplinary teams, develop data platforms, and oversee data-driven projects to generate insights for clients.

The Senior Data Engineer will enhance data workflows, support Azure-based tools, and optimize reporting processes while collaborating with business stakeholders.

The role involves designing scalable data pipelines for 3D, video, and sensor data, optimizing infrastructure, and productionizing ML models with researchers.

As a Software Engineer, you'll design and implement scalable data and AI solutions, participate in code reviews, troubleshoot issues, and collaborate across teams.

As a Senior Data Engineer, you will develop data pipelines, dashboards, and reports while collaborating with analytics teams and promoting self-service analytics.

The Data and Visualization Engineer will develop and maintain data pipelines, create visualizations, and collaborate with teams to derive insights from data.

Develop and maintain real-time market data feeds, focusing on performance and latency improvements in a collaborative environment.

As a Senior Software Engineer, design, build, and maintain backend functionality for scalable multi-tenant services focused on data storage and retrieval. Lead technical initiatives, collaborate across teams, and ensure system reliability and performance.

As a Senior Data Engineer, lead data engineering efforts, design data solutions, optimize data workflows, and mentor junior engineers, focusing on cloud-based systems.

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

The Solutions Data Architect will guide customers in data warehouse initiatives, lead technical discussions, design architectures, and drive customer success from proof of concept to production.

Develop ETL processes, integrate data sources, analyze data issues, and ensure adherence to best practices in data management. Collaborate with teams on functional requirements and data modeling.

Design and manage ETL/ELT data pipelines using Python, PySpark, and SQL, collaborating with cross-functional teams to deliver data solutions.

Develop and apply data analytics and predictive methods to improve system performance and manufacturability in semiconductor manufacturing. Engage in system integration, collaborate with teams, and support production ramp using analytical insights.