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Top Data Engineer Jobs in Portugal
The Senior Principal Engineer will lead the development and integration of a modern marketing technology stack, focusing on data architecture, marketing automation solutions, and large-scale data pipelines using platforms like AWS and Snowflake. Responsibilities include collaborating with teams to enhance personalized marketing experiences and driving technology strategies for Martech initiatives.
The Software Data Engineer will expand and optimize data architecture and pipelines, support data initiatives, and ensure optimal data delivery for cross-functional teams. Responsibilities include data transformation, building scalable data pipelines, and participating in complex projects while improving engineering best practices.
As the IT Lead, Data Engineer, you will oversee data engineering projects, design cloud-based architectures, optimize data pipelines, and mentor junior engineers. You will ensure best practices for data governance and security while leading key technology initiatives aligned with Jabil's strategies.
As a Data Engineer, you will design, build, and maintain data pipelines and integration processes while collaborating with data scientists and analysts to ensure efficient data flow across the organization.
The Data Engineering Lead at Equip will oversee the development of data infrastructure and pipelines, ensuring data availability and reliability to improve patient lives. Responsibilities include designing engineering projects, providing technical guidance, maintaining data quality standards, and collaborating with stakeholders.
The position involves collaboration with clients to assess needs and provide architectural solutions for data integration, structuring data for analytics, and cloud migrations. Responsibilities include defining physical architectures, working with various teams to design scalable solutions, and implementing DevOps practices. Candidates should possess significant IT experience and provide technical direction.
The Cloud Data Architect will mentor and support data engineers, review work to implement best practices, manage production processes for data ingestion and transformation, and engage with clients to provide architectural solutions. Responsibilities include designing scalable data frameworks, enhancing security and resiliency, and leveraging cloud technologies for data management.
Seeking a Mainframe Data Engineer to deliver business solutions and projects to the data store team. Responsible for mainframe Database Administration, implementation, maintenance, and data scrambling of Adabas and VSAM within a mainframe environment. Requires 3+ years of experience supporting mainframe data platform on z/OS mainframe operating system.
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As an MLOps Specialist, you will design and implement data systems and architectures to enhance data science processes. Collaborate with data scientists to improve modeling pipelines, build infrastructure, and handle data transformation. This role involves deploying models in production environments, utilizing cloud services like AWS, and supporting a team-oriented culture.
As a Data Engineering Consultant at CompassX, you will solve complex data challenges for clients using modern tools. Your role involves designing and implementing data solutions including ETL and reporting while leveraging your experience in data warehousing. You will consult with clients to understand their business needs and collaborate closely with the leadership team.
The role involves working with a team to deliver data engineering solutions in a financial services environment, supporting client wellness and health management through innovative technology and services.
The Senior Cloud Engineer will optimize GridMatrix's data pipeline and cloud infrastructure, manage customer deployments, architect solutions for cost and performance, and build machine learning and analytics pipelines while measuring feature impact.
As a Senior Data Engineer at AngelList, you will design, build, and maintain scalable ETL/ELT pipelines, optimize data storage solutions, ensure data availability, and collaborate with stakeholders on data needs. You will also work on data architecture strategies and implement data governance policies.
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