Top Data Engineer Jobs in Portugal

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.

Support and evolve the enterprise analytics platform: build and maintain cloud data pipelines (ingest, transform, curate), develop analytics-ready datasets, create Power BI reports and semantic models, apply Python and AI workflows for automation and validation, ensure data quality and governance, and partner with finance and IT to deliver trusted analytics.

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.

Seeking a Senior Data Scientist/ML Engineer to develop and deploy Machine Learning algorithms, collaborate with teams, and assist federal clients in their digital transformation.

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.

The Senior Data Engineer will architect and build ELT/ETL pipelines, optimize data workflows, and implement data quality frameworks for AI projects.

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.

The role involves building and optimizing big data pipelines, designing data architectures, collaborating with data scientists, and driving technical strategy for data processing.

As a Software Engineer, you will enhance the data infrastructure by building new concurrency controls, indexing schemes, and optimizing distributed data processing algorithms.

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

You will create large datasets and training recipes, develop methods for data mining, create scalable infrastructure solutions, and collaborate with ML infrastructure teams.

Own and develop concurrent C++ backend services for Webviz to stream time-series and sensor data, integrate offboard storage and WebRTC, optimize latency and throughput, build APIs for automated triage/evaluation, plan technical roadmaps, and mentor engineers.

As a Software Engineer, you will create tools and pipelines for AI development, manage data solutions for ML teams, and ensure high-quality code.

Serve as the technical lead for Acceldata's Hadoop observability and open data platform in pre-sales: deliver demos, design solutions, run POCs, craft technical proposals/SOWs, collaborate with sales/product/engineering, and support closing deals while educating internal teams and producing technical documentation.