Top Data Engineer Jobs in Portugal

Design, deploy, and operate scalable data pipelines and cloud infrastructure for ML/GenAI, manage day-2 LLM serving platforms, automate IaC and platform maintenance, ensure observability and reliability, and support production ETL and incident response.

Build and maintain scalable, reliable ML data platform systems to support dataset generation, model training, analytics, monitoring, and large-scale inference. Collaborate with ML, software, and infrastructure engineers to design cost-efficient data lake and training infrastructure using vendor and open-source tools to enable next-generation ML models.

Design, build, and maintain a high-quality data platform delivering private market data to internal and external clients. Implement features, maintain functionality, perform code reviews, unit tests, CI/CD deployments, and collaborate with Product, Design, and Engineering to deliver requirements on schedule.

Build and maintain a production data platform delivering Forge data to internal and external clients. Implement features, maintain functionality, write tests, perform code reviews, manage CI/CD and deployments, and collaborate with Product, Design, and Engineering in an Agile environment.

Lead operational design and engineering for the data platform: own Snowflake and dbt administration, automate platform operations and CI/CD, monitor platform health and observability, enforce governance and access, optimize performance and costs, and develop AI/agent integrations to enable governed data access for business users.

Maintain and grow physical data center infrastructure: racking, wiring, installing and troubleshooting servers, networking and storage, perform hardware repairs, RMAs, debug Linux and network issues, manage inventory, support deployments and new site builds, participate in on-call rotation and mentor junior engineers.

Provide engineering and operational support for headend and critical infrastructure systems. Install, configure, troubleshoot, test, and maintain cabling, RF, IP, HFC, video networking and optical equipment. Ensure power, cooling, and installations meet corporate and FCC standards, maintain logs and documentation, and implement change management and network enhancements. Participate in on-call rotation and work night shift.

Lead architecture, engineering, and lifecycle management of enterprise Hadoop clusters and supporting data platform services. Ensure scalability, reliability, security, and operational excellence; optimize infrastructure, drive provisioning and patching standards, troubleshoot distributed system issues, guide cloud/hybrid migration strategies, mentor engineers, and produce operational runbooks, data views, and automated processing.

Lead Data Engineer responsible for designing, developing, testing, and supporting cloud-based data solutions for Risk Tech. Collaborate with Agile teams to build distributed, real-time data and streaming systems using big data tools, data warehouses, RDBMS/NoSQL, and mentor engineering peers while ensuring performance and code quality.

Lead development and execution of a unified software quality data strategy for Electronic Systems. Build automated ETL pipelines, real-time dashboards, alerts, and analytics; coordinate across engineering teams and sites; deliver data-driven insights to leadership; and enable continuous improvement of software quality in regulated, embedded aerospace environments.

Collect, transform, validate, and analyze structured and unstructured data; build reports, dashboards, and visualizations; document methodologies; collaborate with business partners; support cross-functional analytics initiatives; improve data quality and analytic workflows while building proficiency in analytics tools and regulatory standards.

Design, build, and maintain scalable Databricks-based ETL/ELT pipelines and analytics-ready data products on Azure and on-prem. Partner with business and engineering stakeholders to deliver end-to-end data initiatives, apply enterprise design standards, optimize production pipelines, and present technical solutions to stakeholders.

Design and maintain data pipelines, data contracts, and transformation layers for analytics. Model complex sources, enable observability and lineage, collaborate with product teams, and optimize data structures for scalable cybersecurity and industrial datasets.

Design, build, and maintain a petabyte-scale distributed ML data platform (ingestion, processing, serving) on GCP using open-source frameworks. Collaborate with ML and data engineers to create self-serve capabilities, deliver technical projects, own major technical decisions, improve operational reliability and cost-efficiency, participate in planning and code reviews, and mentor and onboard junior engineers.

Design and implement foundational data systems for AI, focusing on efficiency and performance at scale. Collaborate on systems that optimize data handling and contribute to research advancements.

As a Senior Data Engineer, you will design and build data pipelines, manage data architecture, ensure data security, and mentor team members while collaborating across teams to create impactful data products.

The Senior Data Engineer will design and develop data pipelines, manage data architectures, ensure data security, and mentor team members, while optimizing processes for large-scale projects.

As a Senior Site Reliability Engineer, you'll ensure the reliability and performance of a Kubernetes-based data platform, focusing on scaling infrastructure, enhancing security, and optimizing deployment processes.

The Software Engineer will develop and manage data platforms for CoreWeave, focusing on performance, security, and scalability while facilitating data access and compliance with regulations.

Design and implement data platforms, manage data infrastructure, develop streaming architectures, improve performance, and ensure data compliance.

As a Senior Data Engineer, you will optimize the data platform, build efficient pipelines, democratize data access, and drive strategic infrastructure decisions to enhance data initiatives at January.

The Senior Data Engineer will design and build scalable ELT/ETL pipelines, improve data quality, and collaborate with teams to ensure accurate data delivery and operational excellence within Cedar's data platform.

The Staff Data Engineer will lead design and implementation of analytics platforms and data products, collaborate cross-functionally, mentor engineers, and drive best practices at Upside.

Lead design and optimization of high-throughput data ingestion pipelines and Python-based microservices. Improve pipeline performance, reliability, and observability across distributed systems, define unified ingestion architectures, work with Snowflake for analytics, mentor engineers, and collaborate cross-functionally to ensure scalable, fault-tolerant data platforms.

The Lead Data Engineer designs and develops technical solutions, collaborates with Agile teams, and utilizes big data technologies, cloud computing, and full-stack development to drive digital transformation at Capital One.