Top Data Engineer Jobs in Portugal

The Sr. Data Engineer will develop KPIs for infrastructure costs, analyze data, create reports, and enhance data systems for Starlink's ground network.

Develop, maintain, and improve lumped-parameter thermofluid models and simulation tools for the Raptor engine; perform engine cycle analysis, anomaly resolution, data-driven root cause analysis, and generate automated predictions for test and flight performance. Build tooling, data pipelines, and integrations to support GNC, flight software validation, and cross-team interoperability.

As a Staff Software Engineer on the Storage Platform team, you will design distributed storage systems, improve database reliability and performance, build automation for database management, and ensure high availability for user-facing products.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

As a Training Manager/Curriculum Developer, design and deliver training programs in Intelligence, Cyber, Data Science, and AI, collaborating with SMEs to create impactful curriculum.

Design and develop ETL processes and data structures for banking data warehousing. Mentor junior developers and ensure solution alignment with business strategies.

The Senior Data Engineer will design and maintain data pipelines and infrastructure for fraud detection analytics, ensuring data integrity and supporting testing across platforms.

The role involves building data processing pipelines, deploying cloud technologies, and writing code in a Kubernetes environment, focusing on big data technologies.

Senior Software Engineers will build data processing pipelines and deploy cloud technologies, focusing on big data and machine learning infrastructure. They are expected to write and deploy efficient code within a Kubernetes environment.

Build and operate reliable infrastructure and systems that support research workflows. Improve cluster bootstrapping, provisioning, automation, and deployment. Debug networking, compute, storage, orchestration, and reliability issues. Write software and automation to reduce manual work, partner with researchers and engineers, and evolve infrastructure toward scalable, maintainable patterns.

Lead design of data center power architecture (up to ~50MW) from utility interconnection to IT load. Own reliability philosophy, substations, MV/LV distribution, DER/BESS/PV integration, protection/control, FMEA, studies, commissioning oversight, utility interconnection, and lifecycle support across projects and stakeholders.

Build and maintain backend systems for data center networking: implement Go and Python services, design scalable ingestion/transform pipelines across Kafka, Postgres, and Clickhouse, maintain schema versioning and backwards compatibility, create CI/CD workflows, enable fine-grained historical and real-time querying, collaborate on reproducible model training/evaluation pipelines, and optimize performance to meet real-time serving constraints.

Lead design and implementation of batch and streaming data pipelines, build data models, implement data quality and testing, manage orchestration and IaC, mentor engineers, and communicate technical direction and tradeoffs to stakeholders.

As a Software Engineer on the Data Engineering team, you will design and maintain data platforms, build and deploy pipelines, and mentor junior engineers while working on high-impact projects across various teams.

The role involves developing and integrating cloud-native data services and APIs, supporting data transformation, and maintaining backend services using AWS technologies.

The Lead Machine Learning Engineer will design and implement data-driven solutions, provide technical leadership, and deploy machine learning systems for clients.

Lead Machine Learning Engineer at CapTech will design data-driven solutions, implement machine learning systems, and provide technical leadership. Responsibilities include collaborating with clients and teams, analyzing large datasets, and managing ML practices.

The Lead Machine Learning/Data Science Engineer at CapTech designs and deploys machine learning solutions, providing technical leadership and collaborating with teams to meet client needs using large datasets and cloud platforms.

The Machine Learning Engineer designs and implements data-driven solutions, builds scalable ML systems, and collaborates with clients to meet business needs.

The Machine Learning Engineer designs and implements scalable machine learning solutions for clients, analyzing data and optimizing systems, while collaborating with teams and clients.

The Machine Learning Engineer will design and implement data-driven machine learning solutions, collaborate with teams, and optimize scalable systems. Responsibilities include analyzing datasets, deploying analytical solutions, and leading teams.

Machine Learning Engineers design and implement data-driven solutions, build scalable ML systems, and collaborate with cross-functional teams at CapTech.

The Lead Machine Learning Engineer will design and implement scalable machine learning solutions, lead teams, and analyze large datasets using cloud technologies.

Lead Machine Learning Engineer is responsible for designing and implementing data-driven solutions, optimizing and deploying machine learning systems, and mentoring junior staff while working collaboratively across teams.

The Lead Machine Learning Engineer at CapTech designs and implements scalable machine learning systems, collaborates with teams, and provides technical leadership while optimizing enterprise data-driven solutions.