Top Data Engineer Jobs in Portugal

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.

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 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 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 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.

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

As a Senior AI/Data Science Engineer, you'll develop algorithms and collaborate with engineering teams to create innovative product features, ensuring robust deployment and optimizing performance for healthcare applications.

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

Design, build, and maintain backend systems and data interactions for healthcare reporting. Develop APIs, data models, ETL pipelines, and interfaces; optimize performance, ensure data integrity and security, and support automated testing and CI/CD. Collaborate in Agile teams and reduce technical debt while enabling integrations with frontend and third-party systems.

Design and implement automated data pipelines, ETL, and integration workflows to support malware analysis, AMA platform development, AI/ML data preparation, monitoring, and scaling automation from pilot to production while ensuring data quality and documenting solutions.

Lead design, build, and maintain scalable batch and streaming data pipelines and data warehouse models. Ensure data quality, observability, performance, and security. Own workstreams, support production incidents, and enable analysts and downstream applications.

The Senior Data Engineer designs and develops scalable data architectures across platforms, mentors team members, and enhances data engineering capabilities for insights and decision-making.

As a Senior Software Engineer at Snowflake, you will design and build data ingestion and processing pipelines, develop distributed systems, and collaborate on software reliability and performance across various cloud platforms.

Develop reliable data pipelines and applications, collaborate on design and architecture, solve business problems, and own software development.

Develop data analysis systems, applications, and pipelines for SpaceX operations. Collaborate on architecture and code reviews, own software development.

The Information Management Engineer will oversee metadata management, master data models, integration pipelines, and data governance efforts, primarily utilizing Azure and GCP platforms.

The Application Engineer will develop analytics using Pig and PySpark, manage data flow, ensure process reliability, and collaborate on data projects.

Seeking a Senior Staff Engineer specializing in Big Data to lead teams, tackle client challenges, and drive innovative solutions. Must mentor teammates and contribute to dynamic projects.

The Technical Lead will build software systems for AI-native drug discovery, design data pipelines, develop APIs, and collaborate with scientists to create efficient workflows and solutions.

Lead design and implementation of advanced, high-performance financial charts and interactive visualizations for web applications. Architect reusable visualization frameworks, optimize rendering for large real-time datasets, ensure accessibility and performance, and provide technical leadership and mentorship across cross-functional teams.

Build and maintain full-stack product features, backend services, APIs, data pipelines, and AI integrations to transform customer interaction data into AI-powered experiences. Collaborate with cross-functional teams to design, test, and support production systems, internal tools, and user-facing interfaces. Own ambiguous problems end-to-end and raise engineering quality across the data and AI platform.

Design and produce a multi-module workshop series on Agentic AI for IT Support and Data Analytics: create lesson plans, scripts, demos, and 5–8 minute on-camera videos; build 30–45 minute hands-on workshops and performance-based assessments; translate real job tasks into progressive learning aligned to entry-level roles.

Build, maintain, and evolve high-performance, scalable data stores. Collaborate with platform and application teams to optimize storage solutions, implement best practices for data modeling and observability, automate operations, plan capacity, participate in architecture and code reviews, and mentor junior engineers to ensure reliability and cost-efficiency at scale.

Design and implement data-intensive platform components, mentor engineers, and optimize streaming infrastructure to enable scalable data services at Okta.