Top Data Engineer Jobs in Portugal

The Sr. Data Engineer designs and optimizes data pipelines, develops automated systems for data insights, and collaborates with teams to maintain data integrity and model complex datasets.

Design and maintain scalable cloud data pipelines, ensure compliance and security, automate processes, and support operational improvements in data engineering.

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

The Infrastructure Data Engineer will lead the design and implementation of data platforms, ensuring data integrity and efficiency while mentoring junior engineers and collaborating with other teams.

As a Senior Data Engineer at Auger, you will build data systems to transform customer data into a unified ontology for analytics and AI workflows, ensuring data quality and managing the data lifecycle.

The role involves building and managing scalable data infrastructure, optimizing multi-cluster orchestration, and ensuring data access for MLOps and research while transitioning from legacy systems to modern storage.

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.

Responsible for designing and implementing data hub processes, mentoring engineers, and managing complex data pipelines while ensuring operational efficiency.

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.

Develop and apply data analytics and predictive methods to improve system performance and manufacturability in semiconductor manufacturing. Engage in system integration, collaborate with teams, and support production ramp using analytical insights.

As a Senior Full Stack Engineer, you will develop scalable backend services and frontend applications while collaborating with various teams to optimize and deploy features.

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.

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

Lead the development and maintenance of real-time streaming data pipelines while implementing data quality strategies and collaborating with cross-functional teams.

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

The Solution Engineer - Data Engineering Specialist will provide technical leadership in the financial services sector, collaborating with sales teams to demonstrate Snowflake's data platform capabilities while engaging with technical and executive stakeholders.

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.

Design, build, and maintain enterprise data engineering solutions and ETL/ELT pipelines using ADF, SSIS, and SAP Data Services. Develop and optimize database schemas and complex SQL in Oracle and SQL Server, implement data warehouse/data lake architectures (star/snowflake), ensure data quality and governance, create Power BI reports, automate workflows with Python and Shell, troubleshoot pipeline failures, support SDLC, and mentor junior engineers.

Lead architecture and scaling of the Databricks data warehouse and self-service data platform. Build reusable batch and streaming frameworks, enforce governance, SLOs, lineage, observability, CI/CD, and multi-tenancy. Mentor engineers, run design reviews, and ship documented patterns to enable analytics, data science, and app teams to move quickly without blocking on platform tickets.

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.