Top Data Engineer Jobs in Portugal

The Data Engineer will design, develop, and maintain data infrastructure, focusing on ETL processes, data architecture, and CI/CD pipelines, utilizing Python and PySpark.

The Senior Data Engineer will design and maintain data systems, build scalable pipelines, ensure data quality, and collaborate with teams to provide technical solutions.

The Senior Data Engineer will design, develop, and support data solutions, collaborate with teams, and utilize cloud and big data technologies to drive financial empowerment for customers.

As a Senior Geospatial Data Engineer, you'll design and build data pipelines, optimize Spark jobs, and guide clients in analytics solutions, focusing on geospatial data and cloud-native formats.

As an AWS Data Engineer, collaborate with teams to build data products, write efficient PySpark and SQL queries, and manage project deliveries.

As a Data Engineer, enhance data workflows and optimize system performance for veterans' claims processing, focusing on data management, ETL processes, and collaboration with data scientists.

The Data Engineer will build and operate data pipelines, evolve the data platform architecture, and mentor team members while collaborating with engineers and scientists to improve data modeling and processing.

As a Data Engineer, you will build data pipelines and maintain datasets for analytics, data science, and marketing. Collaborate on scalable solutions and ensure data quality.

The Senior Data Engineer will architect low-latency systems, build sports betting data products, integrate datasets, develop APIs, and support production systems.

As a Lead Data Engineer, you will build and optimize data pipelines, collaborate with data teams, and leverage advanced technologies to solve complex business challenges.

As a Principal Data Engineer, you will design and maintain data infrastructure, develop pipelines, integrate healthcare data, and innovate AI-driven solutions.

The Senior Data Engineer will design scalable data models, optimize datasets in Snowflake, automate data validation, and collaborate with business stakeholders to enhance data quality for executive reporting.

The Data Engineer will manage data needs, develop reporting tools/pipelines, provide insights for business improvement, and automate processes.

The Data Engineer will design and implement data pipelines for public health data, ensuring reliability, compliance, and collaboration across teams.

The Data Engineer will perform data analytics, design data systems, optimize data pipelines, and collaborate on data-driven projects for the DHS software development program.

The Data Engineer will design and maintain data systems and pipelines, ensuring data accessibility for analytics while aligning with business strategies. Responsibilities include developing scalable data infrastructures, executing data extraction and transformation, and collaborating with data scientists and business partners.

As a Senior Data Engineer specializing in Hadoop, you'll develop and implement scalable data solutions, lead data requirement analysis, and consult on data migration, focusing on performance and security.

Design, implement, and support complex data center networks, while providing consultation and guidance for enterprise engineering across multiple locations.

Manage complex data engineering and transformation projects, advising executives on strategies, designing data platforms, and mentoring teams.

The Cloud Data Engineer will enhance cloud service operations by ensuring reliability, security, and performance while implementing standards and automation. Responsibilities include building components in Azure, monitoring resources, troubleshooting, and documenting best practices.

The role involves designing, developing, and deploying machine learning models, data pipelines, and ensuring data quality while collaborating with teams to deliver AI solutions.

As a Data Engineer at Roadie, you will build and scale data pipelines and CI/CD processes, deliver data insights, and maintain production systems.

The role involves building data pipelines and infrastructure, collaborating with teams, and enabling data-driven decisions at iCapital.

Build and improve Radar's data infrastructure with a focus on customer feedback and successful implementation. Engage with customers to enhance their experience and deploy new solutions.

We're seeking a Data Engineer with 5+ years of experience to build data processing solutions using Python, design data models, and process large data streams while ensuring high performance across various data technologies.