Top Data Engineer Jobs in Portugal

Design and own end-to-end data quality systems for managed AI data studies: define rubrics, sampling plans, automated checks, launch gates, drift detection, dashboards, and calibration. Investigate integrity issues, run root-cause analysis, build automation in Python/SQL, and partner with Product, Engineering, and Operations to embed quality controls, train reviewers, and scale repeatable quality playbooks across programs.

Design, develop, deploy, and maintain MES platforms for semiconductor manufacturing. Build workflows, integrations (ERP, PLCs, SCADA, historians), databases for traceability and SPC, dashboards, and AI-enabled analytics. Collaborate with cross-functional teams, create documentation, ensure security/compliance, and support system lifecycle and scaling.

The Big Data Engineer will develop and maintain big data solutions, collaborate in an agile team, and implement machine learning models to drive analytics projects.

The Data Visualization Developer will create and support dashboards in Power BI, develop SQL scripts, perform regression testing, and troubleshoot existing scripts.

The Staff Backend Engineer will architect high-throughput streaming systems, define technical direction, mentor engineers, and solve complex problems for Helius' core products.

Seeking a Senior BODS Developer to develop and maintain complex BODS processes for data transformation. The role includes improving data quality using Information Steward and GAC/URAC techniques, collaborating with teams, creating documentation, and mentoring others.

As a Senior Data Engineer at TRI, you will design and build robust data infrastructure and pipelines to support autonomy research and simulation workflows.

Design and scale infrastructure for multimodal training at OpenAI, focusing on distributed data systems and collaborating with researchers.

The Data Processing Engineer will architect and enhance data read/write capabilities for a data processing engine, focusing on large-scale data, performance optimization, and collaboration with engineering teams.

Manage administration, disaster recovery, network design, and project management while providing application and integration support. Collaborate on system design and participate in discussions for optimal solutions.

The role involves developing high-performance data processing systems, collaborating across teams, and improving data infrastructure at Airbnb. It requires designing scalable data architectures and advocating for engineering quality in data operations.

The Lead Data Engineer at Lennar will design and implement data engineering solutions, lead the data platform team, and ensure data quality and accessibility for business insights.

As a Data Platform Engineer, you'll design and maintain scalable data systems, partner with teams on product direction, and ensure system reliability and security.

Design, implement, and deploy machine learning algorithms and scalable ML solutions; collaborate with data scientists, engineers, and federal customers to build analytics capabilities and features; support application deployment and customer enablement.

The Technical Program Analyst will develop and automate applications using Microsoft Power Platform, focusing on ETL workflows and stakeholder collaboration for technical solutions.

Lead architecture and implementation of scalable ML data pipelines and tooling to turn autonomy data into training datasets. Build data selection, active learning, inference-at-scale, vector DB management, labeling integration, QC automation, and introspection tools while partnering with ML researchers and infra teams.

The Big Data Engineer will work with Java, Spark, and Hadoop to design and implement large-scale data processing systems, focusing on distributed systems and machine learning algorithms.

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

Develop scalable data solutions for analytics and machine learning, optimize data pipelines, implement CI/CD, and promote best practices in data engineering.

Design and implement Lakehouse solutions and data pipelines, optimize Databricks environments, and integrate AI applications while delivering exceptional results for clients.

The Senior Data Analysis Engineer will analyze autonomous driving product performance, improve testing efficiency, automate metric generation, and collaborate with engineering teams to enhance product quality and insights.

The Software Engineer will build and maintain reference data systems, aggregate big datasets, develop databases and APIs, and support data migrations.

Design and deliver scalable, GCP-native data solutions focusing on machine learning and analytics, architecting data storage, and implementing data workflows.

Lead design and delivery of Databricks-based Lakehouse solutions and end-to-end data engineering projects. Build and optimize ETL, streaming and batch pipelines, integrate cloud and on-prem systems, mentor team members, support pre-sales, and ensure governance, security, and platform performance.

The Principal Software Engineer will develop backend systems using Rust or Go, debug integrations, manage middleware components, and optimize data flows while following SDLC practices and collaborating with teams.