Top Data Engineer Jobs in Portugal

The Big Data Engineer will develop and maintain big data solutions, collaborate in an agile team, and implement machine learning models to drive analytics projects.

The Big Data Developer (Spark) will be responsible for Spark and Scala development, Hadoop performance tuning, and SQL coding. Requires extensive experience in data processing and performance optimization.

Looking for a Big Data/Scala Developer to build large scale applications using Scala, Spark, and Hadoop in a collaborative agile environment.

Manage administration, disaster recovery, network design, and project management while providing application and integration support. Collaborate on system design and participate in discussions for optimal solutions.

The Cloud Data Services Engineer will support Cloud Data Services, perform database design, and implement DevOps practices in a high-performance team environment.

The Sr .Net Developer will enhance and maintain the ADE SIS web applications, mentor staff, and ensure accurate data submission and analysis.

Supporting Regulatory Reporting in the capital markets sector, focusing on Axiom SL implementation and integration with Hadoop as a data repository.

The Cloud Data Services Engineer will support Cloud Data Services, focusing on SQL Server and NoSQL technologies. Responsibilities include database design, performance monitoring, and automation within a DevOps environment.

The Cloud Big Data Engineer role focuses on supporting Cloud Data Services, involving database design, performance monitoring, and troubleshooting in a fast-paced environment. The role requires expertise in Microsoft SQL Server, NoSQL, and cloud application administration, while embracing DevOps practices for continuous integration and automated quality checks.

The Cloud Data Services Engineer will design and implement solutions, support production databases, plan procedures, and evaluate new cloud technologies.

The role focuses on building a Data Management Cloud Platform using Java and AWS technologies. Candidates are expected to have extensive experience in Big Data, automation, and CI/CD pipelines, along with knowledge of streaming architecture and tools like Kafka and Spark.

Responsible for the configuration and optimization of the Profisee MDM platform, ensuring high-quality master data and supporting data governance practices.

The Lead Data Engineer will create data solutions and pipelines, ensuring quality and governance while collaborating with teams on technology advancements.

The Senior Data Engineer will design and maintain data pipelines and infrastructure, collaborate with teams to ensure data quality, and mentor junior engineers, aiming to optimize analytics processes within the company's framework.

The Senior Data Analytics Engineer will lead data engineering projects, troubleshoot pipelines, perform data analysis, and develop analytics solutions, collaborating with stakeholders to enhance decision-making.

Design and optimize large-scale data systems for risk management. Collaborate with teams to transform business needs into data solutions. Ensure data pipeline efficiency.

Lead the design and development of enterprise data pipelines on AWS, guiding a team of engineers while ensuring data quality and security.

Lead the design and optimization of enterprise data pipelines on AWS, provide technical leadership to data engineers, and collaborate with data architects.

The role involves managing large-scale unstructured data for ML systems, contributing to the entire product lifecycle, and building reliable system software.

Seeking a freelance technical writer for data infrastructure and engineering workflows. Responsibilities include translating complex concepts into digestible content and collaborating with SMEs for accurate communication.

Lead the design and implementation of backend systems and data infrastructure, focusing on scalability and integrations with customer databases while cultivating an engineering culture.

As a Senior Data Engineer, you'll design optimal data architectures, build data pipelines, and collaborate with stakeholders to optimize data delivery and insights.

Design and develop advanced data annotation tools, integrating with external platforms and improving user experience for 2D and 3D labeling workflows.

Design and maintain data pipelines and infrastructure for processing large datasets from autonomous vehicles, optimizing for performance and usability.

Design and maintain data infrastructure, deploy data pipelines, ensure data quality, and collaborate with teams to meet data needs within the organization.