Top Data Engineer Jobs in Portugal

Join the Global Value Engineering Center to consult, develop, and prototype AI-driven solutions using Celonis technology, enhancing business processes.

As a Senior Data Engineer, you will design, develop, and support full-stack technical solutions, utilizing various programming languages and cloud technologies to enhance Capital One's enterprise platforms.

As a Senior Data Engineer, you'll collaborate with teams to design, develop, and implement technical solutions while utilizing modern data technologies and languages.

The Senior Data Engineer will develop visual analytics applications, manage large relational databases, and integrate systems to enhance data processing and intelligence.

As a SQL Data Engineer, you will design data pipelines, integrate data from various sources, and optimize data models while collaborating with stakeholders.

Collaborate with Agile teams to design, develop and support technical solutions, leveraging big data technologies and cloud services.

The Senior Data Engineer will collaborate with agile teams to develop and support data solutions using cloud-based technologies and programming languages like Python and Scala, focusing on big data and machine learning applications.

Lead the development of software solutions for Capital One’s data security platform, mentoring a team and collaborating across functions. Responsible for project lifecycle and technology evaluation.

Collaborate with Agile teams to design and develop data solutions, utilizing various programming languages and technologies to drive customer empowerment.

The Data Engineer will build and maintain data pipelines, ensure data quality, develop reliable data models, and collaborate with product and engineering teams.

The Data Engineer will build and maintain data pipelines, ensure data quality, and collaborate with product teams to deliver data solutions. Responsibilities include data modeling, documentation, and establishing best practices in data engineering.

The Data Engineer will develop and maintain data pipelines, ensure data quality, create data models, and lead data engineering best practices across teams.

As a Data Engineer, you will build and maintain data pipelines, ensure data quality, optimize data models, and collaborate with teams on data solutions.

The Software Engineer II will develop scalable APIs and distributed systems, collaborating with teams and enhancing technical skills through the software lifecycle.

Design and build scalable APIs and distributed systems, mentor junior engineers, and collaborate on technical solutions for ad tech challenges.

As a Backend Software Engineer, you will design and implement scalable services, focusing on API design and system architecture while mentoring team members.

Lead Software Engineer/Data Engineer responsible for analyzing large datasets, implementing data models, and providing insights to support strategic decisions in payment security.

As a Data Engineer II, you will contribute to data engineering projects, write clean code, automate workflows, and optimize ETL processes on big data platforms.

As a Principal Data Engineer, design scalable data pipelines using Azure and big data technologies, collaborate with teams, and ensure high-quality deliverables.

Looking for Sr. Azure Data Engineers with 8+ years of experience. Responsibilities include building data pipelines and integrating data from various sources.

Responsible for designing and building distributed data systems, developing robust data pipelines, and architecting data platforms to support large-scale data processing.

The Principal Data Engineer will design and implement scalable data pipelines on Azure, focusing on data ingestion and processing for analytics solutions, collaborating across teams to meet project requirements.

The Data Engineer will build and manage scalable data pipelines on AWS, collaborating with teams to optimize data solutions for business insights.

The Principal Data Engineer will develop and maintain data systems and applications, collaborating with teams, and ensuring data quality. Responsibilities involve designing systems, optimizing architectures, and providing technical insights while fostering team collaboration and communication.

Collaborate with developers to design and deliver data infrastructure and manage data pipelines and APIs, supporting applications and analytics.