Top Data Engineer Jobs in Portugal

As a Data Science and Machine Learning Software Engineer at NetApp, you will develop algorithms for real-time personalized search and recommendation using IoT data, while working on cloud-based services and analytics.

The role involves building scalable ELT/ETL pipelines on GCP, utilizing SQL and Python, and managing security and infrastructure automation while ensuring real-time processing and resource provisioning.

Lead the vision and execution for scalable data governance and quality across Airbnb. Architect future-proof data ecosystems, define best practices and tooling, drive cross-functional policy implementation (privacy, legal, infosec), mentor senior engineers, and influence executive strategy to embed stewardship into the data product lifecycle.

The Principal Database Architect & Engineer will own the data components of complex infrastructure solutions and lead teams to deliver innovative database technology solutions, ensuring optimal performance and operational efficiency.

The Big Data Developer will be fully hands-on utilizing HIVE, PIG, and Ozzy technologies to develop solutions for big data. They will work on projects for a duration of one year.

The Data Visualization Developer will create interactive graphics using D3.js, mentor developers, and collaborate with UX team on data visualizations.

Work with cross-functional teams to develop data analytic solutions, improve tool architecture, and perform reliability analyses using big data.

As a Data Analytics Engineer, you will build data pipelines, develop KPIs, collaborate with stakeholders, and promote data-driven decision-making.

Develop an ML-based online advertising platform, design data infrastructures, mentor team members, and enhance data pipelines for scalability and cost-effectiveness.

The role involves full application life cycle participation, system maintenance, stakeholder interaction, and integration development, focusing on data integration and middleware solutions.

Lead architecture and scaling of the Databricks data warehouse and self-service data platform. Build reusable batch and streaming frameworks, enforce governance, SLOs, lineage, observability, CI/CD, and multi-tenancy. Mentor engineers, run design reviews, and ship documented patterns to enable analytics, data science, and app teams to move quickly without blocking on platform tickets.

The role involves leading ML project implementations, designing production-grade ML solutions, and optimizing AI applications for clients while ensuring effective communication and project management.

Provide first-level IT communications support, maintain network performance, utilize Solarwinds for diagnostics, assist with VOIP systems, and produce documentation.

Design, develop, and implement data integration and ETL solutions connecting disparate systems. Monitor, troubleshoot, and support production incidents; maintain documentation; collaborate with cross-functional teams and apply healthcare data standards to improve clinical and operational data flows.

Build end-to-end data and analytics features: ingest and model data, build transformations and pipelines, create client-facing dashboards and interfaces, and develop LLM-powered workflows to accelerate analysis and app development. Partner with stakeholders, perform exploratory analyses, and ensure data quality, observability, and maintainability while influencing data engineering strategy.

Design, implement, and optimize the distributed storage data path handling I/O from network interface to persistent cluster storage. Work on distributed caching, metadata, placement algorithms, NVMe-oF/RDMA performance tuning, data integrity features (erasure coding, snapshots), lock-free concurrency, scalability, and resilience to achieve low-latency, highly durable storage.

Design and maintain scalable cloud data pipelines, ensure compliance and security, automate processes, and support operational improvements in data engineering.

The Data Migration Test Engineer will perform testing for data migration using Pentaho, SQL, and Oracle within an Agile environment, ensuring data integrity across systems.

Design and own end-to-end data domains and pipelines for plant sensors, lab results, and historians. Build schemas, ensure data quality, observability, and lineage, and supply model-ready time-series and analytical datasets to ML and operations teams. Mentor junior engineers and define data contracts.

The Big Data Engineer will collect, store, process, and analyze large data sets while maintaining and integrating optimal solutions within the company's architecture.

Design, build, and maintain data platform tools, ensuring data quality and integrity. Collaborate with data science teams and enforce best software practices.

The Senior Data Engineer will design and manage petabyte-scale data pipelines, ensuring data quality and architecture for operational decision-making and ML training.

As a Senior Data Engineer at Auger, you will build data systems to transform customer data into a unified ontology for analytics and AI workflows, ensuring data quality and managing the data lifecycle.

Design, build, and maintain enterprise data engineering solutions and ETL/ELT pipelines using ADF, SSIS, and SAP Data Services. Develop and optimize database schemas and complex SQL in Oracle and SQL Server, implement data warehouse/data lake architectures (star/snowflake), ensure data quality and governance, create Power BI reports, automate workflows with Python and Shell, troubleshoot pipeline failures, support SDLC, and mentor junior engineers.

Responsible for designing and implementing data hub processes, mentoring engineers, and managing complex data pipelines while ensuring operational efficiency.