Top Data Engineer Jobs in Portugal

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

The Data Solutions Engineer will design and deliver data and analytics solutions, manage data pipelines, and support cloud platforms while collaborating with various teams to improve data accessibility and operational efficiency.

Provide first-level IT communications support, maintain network performance, utilize Solarwinds for diagnostics, assist with VOIP systems, and produce documentation.

Design, build, and maintain scalable data models, ETL/streaming pipelines, and cloud-native data platforms. Ensure data quality, governance, performance tuning, and enable ML workflows. Lead cross-functional teams, mentor engineers, and implement CI/CD, monitoring, and cost-optimized solutions to support analytics and real-time inference.

The Senior Data Engineer will design and manage data pipelines for massive datasets, ensuring quality, cost management, and effective data operations. Responsibilities include overseeing data flows, monitoring data quality, and managing vendor partnerships.

As a Software Engineer on the Data Team, you will design and implement data visualization tools, enhance scalability and reliability, and mentor peers while contributing to software solutions for performance monitoring in space systems.

As a Data Science and Machine Learning Software Engineer at NetApp, you will develop algorithms for real-time personalized search and recommendation using IoT data, while working on cloud-based services and analytics.

The Big Data Engineer will collect, store, process, and analyze large data sets while maintaining and integrating optimal solutions within the company's architecture.

The role involves design and development using Hadoop and its ecosystem, requiring strong programming skills in Java, Python, and SQL, with experience in data warehouses.

Design, build and maintain a self-service data platform to enable teams to create data products. Support real-time analytics, batch processing and ML workloads. Implement secure, scalable, compliant infrastructure with IaC and automation. Enable ingestion, processing and consumption of data at scale. Mentor teammates and drive engineering excellence.

The Big Data Developer will be fully hands-on utilizing HIVE, PIG, and Ozzy technologies to develop solutions for big data. They will work on projects for a duration of one year.

Work with cross-functional teams to develop data analytic solutions, improve tool architecture, and perform reliability analyses using big data.

The Data Visualization Developer will create interactive graphics using D3.js, mentor developers, and collaborate with UX team on data visualizations.

The Principal Database Architect & Engineer will own the data components of complex infrastructure solutions and lead teams to deliver innovative database technology solutions, ensuring optimal performance and operational efficiency.

Lead the architecture and implementation of data integrations with healthcare payers, build data pipelines for AI/ML systems, and establish engineering best practices.

Design, implement, and optimize the distributed storage data path handling I/O from network interface to persistent cluster storage. Work on distributed caching, metadata, placement algorithms, NVMe-oF/RDMA performance tuning, data integrity features (erasure coding, snapshots), lock-free concurrency, scalability, and resilience to achieve low-latency, highly durable storage.

Looking for a Technology Lead with expertise in Big Data technologies and tools, specifically Hadoop, Java, and various data processing frameworks. Must have extensive experience in the software development life cycle and knowledge of project life cycle activities in DW/BI development. Requires strong analytical skills and familiarity with scripting and Unix.

The Technology Lead - Big Data Developer will work on Hadoop frameworks, Java, and Python, implementing MapReduce and managing Big Data projects utilizing tools like Hive, Pig, and NoSQL.

The Technology Analyst will develop Big Data applications leveraging Hadoop, Java, and Python. Responsibilities include project lifecycle participation, team collaboration, and client interfacing in a global delivery environment.

The role involves developing applications using Big Data technologies such as Hadoop and working on various data processing tools. Candidates should have experience with project life cycles and collaboration in a team environment.

Seeking a Data Network Operations Engineer with 8-10 years experience in network operations, troubleshooting, and project management, alongside relevant degrees and certifications.

The role involves building scalable ELT/ETL pipelines on GCP, utilizing SQL and Python, and managing security and infrastructure automation while ensuring real-time processing and resource provisioning.

As a Principal Software Data Engineer, you'll lead the design, development, and optimization of large-scale data platforms and pipelines, ensuring data governance and driving innovation in a collaborative environment.

As a Senior Software Engineer, you will enhance Appian's platform performance, handle emergent issues, and implement features using Java and web technologies while adhering to best practices and Agile principles.

The role involves full application life cycle participation, system maintenance, stakeholder interaction, and integration development, focusing on data integration and middleware solutions.