Top Data Engineer Jobs in Portugal

Design, build, and maintain scalable data pipelines using Fivetran and Snowflake. Develop and optimize dbt models, ensure data quality and governance, implement data modeling best practices, troubleshoot performance, and collaborate with analysts and business teams to improve data accessibility and engineering practices.

Design, build, and modernize enterprise data platforms across SQL Server, Azure, and Microsoft Fabric. Support and tune databases, build ETL/ELT pipelines, implement Azure data services, enable analytics and AI-readiness, automate operations with scripting and CI/CD, monitor performance and reliability, and document platform architecture and procedures.

Build and scale the data infrastructure for Actively AI's platform, focusing on pipelines, transformations, and operational data management. Ensure data quality and real-time processing.

The Automation Engineer designs, develops, and maintains data pipelines and API integrations for scientific workflows while ensuring compliance with industry standards. The role involves collaboration with scientists and the use of various technologies to optimize data processes.

The Senior Data Engineer will work with data tuning on relational databases, utilize big data technologies, and coordinate with teams. A strong academic background and experience with large datasets are required.

The Senior Data Engineer will work with data tuning, big data technologies, and coordinate with technical teams and business users.

The Big Data Engineer will handle large data processing, develop solutions with Java and NoSQL technologies, and support architecture discussions.

Lead design and build scalable data pipelines, data models, and ETL/ELT workflows. Mentor data engineers, set coding standards, improve data architecture and tooling, partner with Product and Platform teams, and deliver monitoring, data quality, and automation to support Data Operations.

Design and develop data solutions, maintain databases, enhance data quality, mentor junior engineers, and lead data process improvements.

As a Senior Software Engineer, you'll design and build scalable market data systems, improve API architecture, and enhance overall system performance, contributing to Alpaca's infrastructure for trading financial assets.

Design and develop the data management layer, focusing on scalability and integration for extensive data processing, while collaborating with various teams.

The Principal Software Engineer will shape and evolve HubSpot's data platforms, driving architectural decisions, building frameworks, and influencing infrastructure across teams.

Build and own end-to-end data platform capabilities for cloud, on‑prem, and airgapped environments. Design, deploy, and maintain infrastructure and tooling, write comprehensive tests, produce design docs/ADRs/runbooks, engage with product and defense customers, contribute to open source, and mentor junior engineers. Operate effectively in a remote, mission-focused team.

Early-career platform engineer who builds and maintains integration, end-to-end, and regression test suites; packages and deploys open-source components into Kubernetes; builds seed-data tooling, deployment automation, runbooks, and demos; writes clear bug reports and documentation; participates in code review and grows technical skills. Travel ~10–20%; U.S. citizenship and ability to obtain security clearance required.

The Lead Data Engineer will develop and maintain ETL/ELT pipelines, optimize data storage, ensure compliance in a GxP environment, and collaborate with data teams.

Design, deploy, and operate large-scale, highly-available data pipelines and ML data workflows for anti-cheat telemetry. Build GitOps deployment workflows, observability (metrics, logs, alerts), ensure data integrity, support batch/online model deployments, own incident response and operational excellence.

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.

Design, build, and maintain data models, pipelines, and access layers to support care delivery, operations, and analytics. Ensure data quality, governance, and reliability while optimizing infrastructure and performance. Serve as a technical leader, review code, set engineering best practices, and collaborate cross-functionally to translate business needs into scalable data solutions.

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 production data platforms, pipelines, and analytics. Architect Snowflake/Databricks solutions, build ETL/streaming ingestion, implement dbt transformations, data quality, observability, and governance, support BI and AI/ML feature/data pipelines, and mentor engineers while driving DataOps and platform best practices.

As a Software Engineer on the data platform team, you will develop and manage applications for data aggregation, storage, and pipeline building while collaborating with cross-functional teams to implement solutions for automated manufacturing.

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 creative web scraping, large-scale parsing or OCR pipeline experience, and requires exceptional attention to detail.

Manage and optimize cloud-based streaming platforms, ensuring high availability and performance for real-time analytics. Collaborate across teams to enhance data pipelines and integrate AI solutions.

Lead architecture and implementation of cloud-native data platforms on Google Cloud (BigQuery). Build unified batch/streaming pipelines, enforce IaC with Terraform, implement open table formats and governance (Dataplex/Data Catalog), automate data quality/lineage, partner with analytics and product teams, and mentor data engineers.