Top Data Engineer Jobs in Portugal

The Data Engineer designs and implements data solutions using AWS and Azure technologies, manages projects, interfaces with clients, and ensures documentation and testing for successful hand-offs.

The Lead Platform Data Engineer will design data architecture, develop scalable workflows, ensure data quality, and mentor teams in modern DataOps practices.

Role involves architecting and optimizing data pipelines, building infrastructure as code, ensuring data reliability, and collaborating with cross-functional teams to deliver quality data products.

The Data Engineer will process raw data, develop predictive models, and conduct statistical analysis to support business decisions, collaborating with engineering teams and business partners.

The Data Engineer will gather and process large datasets, develop algorithms, conduct data analysis, and improve predictive models for business decisions.

The Data Engineer will gather and process data, analyze trends, support business decisions, and collaborate on predictive models while improving algorithms and efficiency.

The GIS Platform and Data Engineer designs and manages geospatial datasets, develops ETL pipelines, and automates processes using DevOps tools, ensuring reliability and scalability of GIS applications.

Looking for a Data Engineer experienced in Dataiku to design and maintain data pipelines and infrastructure, ensuring data flow and integration across teams.

The Senior Big Data Developer will lead software projects through all life cycle stages, requiring strong Java, Oracle, SQL, and Green Plum skills.

The Data Engineer will analyze data, optimize systems, and collaborate with data scientists and engineers, requiring strong SQL and PowerBI skills.

The Network Data Engineer will provide technical support for Cisco products, focusing on LAN, WAN, Wireless technologies, and F5 Load Balancers with extensive troubleshooting experience required.

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

The Data Engineer will manage and develop data warehousing solutions, implement ETL processes, and utilize SQL for data analysis and reporting. Experience in analytics tools and communication is essential.

The Data Engineer will develop ETL processes, manage data infrastructure, ensure data quality, and collaborate with teams for data delivery.

As a Data Engineer at Figma, you'll build and maintain scalable data pipelines, optimize data models, and collaborate with teams to ensure timely data delivery.

Design and develop resilient data infrastructure for a 401k recordkeeping platform, manage CI/CD solutions, and ensure data governance while mentoring team members.

The Data Engineer I at Storable supports the design and maintenance of data pipelines, works with ETL processes, optimizes workflows, and collaborates with various teams to enhance data accessibility and reliability.

The DBA/Data Engineer will manage PostgreSQL and MySQL databases, build scalable data pipelines, and integrate AI for automation, ensuring efficient data infrastructure.

The Databricks Data Engineer role involves building ETL/ELT pipelines, working with data transformations, and ensuring efficient data handling across cloud services, primarily using Databricks and AWS.

The Vice President, Technology will lead data engineering efforts to design and deliver data integration solutions across CRM ecosystems using ETL, Python, and advanced SQL/NoSQL technologies.

The Data Engineer will design and maintain data pipelines, integrate data from SAP into cloud platforms, and collaborate on data model creation for analytics use.

The Data Engineer will design and implement data pipelines and platforms for various applications, collaborate with teams, and handle structured and unstructured data.

As a Data Engineer, you will acquire, curate, and publish data for analytical uses, ensuring data quality and supporting business processes through efficient data solutions.

Design and maintain data pipelines and lake platforms, optimize data processing with cloud technologies and collaborate with team members for AI initiatives.

This role involves collaborating with stakeholders to translate business questions into data insights, developing SQL queries, and supporting AI-driven analytics workflows.