Top Data Engineer Jobs in Portugal

As an Analytics Engineer, you will create scalable solutions for data reporting, build data pipelines, and establish high data integrity standards while collaborating with multiple teams.

The Data Engineer will develop, maintain, and optimize data pipelines using Apache Airflow, manage database performance, and support Elasticsearch integration. Responsibilities include building ETL scripts, handling Unix/Linux operations, and implementing CI/CD pipelines in GitLab.

As a Data Engineer, you will build and maintain ETL pipelines, develop data transformation processes, design data warehouses, and lead improvements in data architecture.

The Data Engineer will build and scale Baseten's internal data platform, designing data models and pipelines while enabling self-service analytics and ensuring data reliability.

The role involves SQL and data analysis to troubleshoot issues, with 8+ years of required experience. Experience with C# and scripting tools is preferred.

Manage delivery of complex data pipelines in a hands-on role, leading a team of data engineers to develop scalable data solutions and improve analytics capabilities.

The Mid-Level Data Engineer will design and maintain data pipelines using Python and PySpark on Azure, ensuring data quality for analytics and reporting while collaborating with various stakeholders to translate requirements into practical solutions.

Build and operate AndHealth's data ingestion, transformation, and warehouse infrastructure. Own scalable, idempotent pipelines, data quality and observability, orchestration and SLAs, BigQuery performance and cost optimizations, healthcare source integrations, HIPAA-compliant security, and platform-level data contracts and runbooks.

The Software Developer/Data Engineer creates APIs, manages data access controls, builds data models, and implements RESTful API structures for analytics.

The Data Engineer/ETL Engineer will support cloud-based and on-prem application development, focusing on data management and analytics for defense and intelligence.

The Principal Data Engineer will lead complex data projects, design robust data pipelines, and drive architectural strategy for a scalable data ecosystem, while mentoring other engineers and ensuring the quality and usability of data solutions.

Design, build, and maintain scalable batch and near-real-time data pipelines and data products using Databricks and Spark. Integrate internal/external sources, implement data models, ensure data quality, support BI (Sisense), CI/CD, and collaborate with analysts, scientists, and stakeholders to enable analytics and decision-making.

The Senior AI Data Engineer will design and build scalable data pipelines, ensure data quality, and support AI product development through a unified analytical data framework.

Design, build, and operate enterprise Master Data Management (MDM) systems including entity resolution, golden record lifecycle, hierarchy processing, and integrations. Develop AI-powered developer tools and automation, implement MuleSoft/Airflow/API/CDC pipelines, ensure data quality and observability, troubleshoot production issues, and collaborate across global teams. LMTS adds architecture, technical strategy, and cross-functional engineering leadership.

Build and scale an enterprise Knowledge Graph platform and semantic pipelines to power AI-driven features. Design graph models, semantic routers, vector/RAG workflows, cloud-native data pipelines, and AI developer tooling. Own feature delivery, ensure code quality, mentor engineers, and collaborate across product, ontology, and engineering teams.

Design, implement, and optimize scalable data pipelines and infrastructure on AWS. Maintain ETL artifacts, provide Tier 3 support, collaborate with stakeholders and a product team, document dataflows, and occasionally support off-hours deployments.

The Data Engineer will develop ETL/ELT pipelines, manage data ingestion, and ensure data integration across various sources while deploying solutions using AWS or Azure in support of government contracts.

Design, build, and productionize end-to-end AI and generative systems that convert unstructured content into structured knowledge. Develop retrieval, semantic search, and knowledge-driven pipelines; ensure evaluation, reliability, explainability, and ongoing monitoring. Collaborate cross-functionally to align AI solutions with business priorities and optimize for latency, cost, and throughput.

The Senior Backend Data Engineer will extend data ingestion and processing pipelines, build APIs and backend services, and provide technical leadership.

Data Engineers at Rhombus Power design and implement data infrastructure, analyze and maintain data systems, and collaborate across teams. They develop code for data processes and ensure strong client connections.

The Data Engineer II will design and maintain ELT pipelines to support analytics across Sony Pictures. This role involves collaborating with stakeholders, delivering data models, ensuring data integrity, and driving agile project delivery within a team environment.

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.

The Data Engineer will build and manage scalable data pipelines and databases, collaborate on architecture, and drive data systems towards real-time capabilities in a fast-paced, innovative environment.

This role offers training for aspiring Data Engineers, focusing on technology of choice, interview preparation, and skill enhancement with guidance on OPT STEM extension.

Design, build, and maintain scalable data processing pipelines and infrastructure (ETL/ELT). Implement large-scale data processing (Spark, MapReduce, Kafka), support stakeholders with analysis and reporting, ensure secure multi-region data handling, and optimize data delivery for analytics and business insights.