Top Data Engineer Jobs in Portugal

Lead data modeling and engineering efforts, develop data pipelines, implement ETL solutions, and collaborate across teams in a fast-paced crypto-focused environment.

Design, build, and maintain scalable backend services and data interfaces. Develop REST/GraphQL APIs, implement data ingestion/transformation, integrate with databases and third-party platforms, ensure security, reliability, and observability, and support CI/CD and infrastructure-as-code workflows.

Responsible for designing, building, and maintaining real-time data ingestion pipelines, ensuring reliable data flow and quality for operational decisions.

Build and own tooling and data pipelines for synthesis, annotation, validation, and analysis of real and synthetic data to support model training and evaluation. Collaborate with researchers and engineers to align data infrastructure with experiments, maintain documented standards, and develop frameworks to identify coverage gaps and improve data quality.

The Data Infrastructure Engineer will design, build, and operate scalable data infrastructure systems, ensuring reliability and performance while collaborating with various teams at OpenAI.

Join the Data Acquisition team to lead projects in data collection, collaborate across teams, and develop scalable systems for data processing.

Lead modernization and operation of Dutch Bros' data platform: design, build, and maintain scalable Snowflake-based data pipelines and infrastructure, enable real-time ETL/ELT, support analytics and ML workflows, implement CI/CD and IaC, ensure data governance and security, and communicate technical solutions to stakeholders.

Build and automate large-scale ML data pipelines and tooling for autonomous trucking. Improve dataset curation, deduplication, labeling, evaluation, and metrics infrastructure. Collaborate with robotics, autonomy, and infra teams to support continuous learning, deployment, and scalable AI infrastructure for Kodiak's fleet.

Lead design, build, and maintenance of scalable data pipelines and lakehouse infrastructure using PySpark, Databricks, and Airflow. Own data & ML platform (Terraform, Databricks), improve observability, data quality, and developer tooling, and partner closely with Data Science and engineering teams.

The role involves building scalable data platforms, developing data pipelines, mentoring engineers, and enhancing data security while collaborating across teams.

Lead design and delivery of cloud-native lakehouse and data product solutions for Supply Chain. Architect and build ingestion pipelines and ETL using AWS (Glue, S3, EMR, Lambda), Apache Iceberg, Redshift, and Spark. Implement Medallion Architecture and data mesh principles, translate SAP/Blue Yonder data into governed analytics-ready products, enforce metadata, lineage and data quality, and lead a technical engineering team while partnering with business stakeholders.

This role involves leading quality assurance initiatives, designing test plans for complex scenarios, and mentoring team members to enhance testing practices across product development.

Design and develop APIs and middleware for reliable cross-system data exchange. Implement data transformation and validation, monitor and troubleshoot integration workflows, document architectures, and support knowledge transfer to ensure interoperability and data quality.

The Lead Data Engineer will architect and develop a healthcare data platform on GCP, guiding teams in pipeline development, data modeling, and ensuring compliance with HIPAA. They will collaborate across functions, set technical directions, and mentor junior engineers.

The Sr. Data and AI Engineer will support product discovery, deliver technical projects, lead improvements, mentor engineers, and enhance data solutions.

As a Senior Data Engineer, you will build and optimize data pipelines, integrate AI capabilities, and collaborate across teams to create data-driven solutions, while providing technical leadership and ensuring data quality and governance.

Implement and maintain ETL processes to ingest and transform hospital data into Meduit platforms. Build data models, ensure data integrity, document and track tasks in Jira, collaborate with cross-functional teams, support revenue-cycle data implementations, and mentor team members on best practices.

The Senior Data Engineer will design and maintain data pipelines, write production-grade Python and SQL code, and support AI initiatives while collaborating across teams.

The Senior Data Engineer designs and optimizes scalable data pipelines using Azure services, collaborates with teams, mentors others, ensures data quality, and drives innovation in data architecture.

Design, build, and operate data services and pipelines to ingest, standardize, and deliver clinical data for product, analytics, and ML. Tune Spark workloads, enforce data quality, monitor production systems, and partner with product and engineering. Participate in on-call support.

The Senior Data Engineer will design and develop data systems and pipelines, perform analyses, and collaborate with stakeholders to improve decision-making in healthcare.

The Data & Software Engineer will develop, test, and deploy software solutions, automate processes, and collaborate with stakeholders to enhance data performance and stability.

The role involves leading software solutions development, optimizing systems, mentoring junior engineers, and collaborating with stakeholders to meet business goals.

The Data Architect/Data Governance Lead supports the Medicaid Enterprise Data Warehouse by leading data architecture, metadata management, and governance processes, ensuring compliance and scalability.

The Data & Software Engineer will design, develop, and maintain scalable software and data solutions, ensuring alignment with business needs while collaborating with cross-functional teams.