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Top Data Engineer Jobs in Portugal
The Staff Engineer will design and develop software applications, focusing on test automation strategies. Responsibilities include collaborating with Product and Engineering teams, implementing testing tools, driving standardization of automation technologies, and ensuring quality through end-to-end integration testing.
As a Senior Data Engineer, you will collaborate with clients to design and maintain advanced data platforms, develop real-time data processing systems, and create documentation and training materials. Your role includes building ETL pipelines, data warehouses, and RESTful microservices primarily using cloud services while ensuring effective communication of complex concepts to technical and non-technical stakeholders.
As a Senior Data Engineer at Coinbase, you will build and maintain data pipelines, develop trusted data sources, create analytics products, and enhance data science productivity through automation. Your role involves enforcing best practices, ensuring data quality, and facilitating collaboration with cross-functional teams to support self-serve analytics.
As a Senior Data Engineer, you'll collaborate with teams to design, build, and maintain a scalable data platform. Responsibilities include automating processes, developing CI/CD pipelines, and enhancing data monitoring capabilities. You'll also mentor peers and document architectural designs for knowledge sharing.
As a Senior Data Engineer, you will collaborate with cross-functional teams to design, build, and maintain a scalable data platform that supports automation and analytics features. Your role includes developing CI/CD pipelines, data monitoring systems, and mentoring peers while ensuring that the architecture facilitates machine learning deployment and self-service capabilities for end-users.
The Sr. Software Engineer - GCP is responsible for designing technology solutions to ensure operational readiness, leading development and maintenance of existing systems, and managing the technology roadmap. The role involves monitoring, alerting, and ensuring the sustainability of technology solutions, while also driving innovation and continuous improvement.
The Senior Data Engineer will build large-scale real-time streaming data pipelines, optimize data workflows, and support analytics for retail operations. Key tasks include developing applications using Spark and Python, enhancing data processing pipelines, and ensuring data accuracy. The role also involves working with various data sources and maintaining data conformity across models.
The Senior Data Engineer will develop and modernize data ingestion pipelines using ELT frameworks, ensuring optimal data architecture. Responsibilities include supporting data initiatives, building and transforming data from various sources into systems like SQL Server and MongoDB, and optimizing infrastructure for scalability. Participation in evaluating emerging big data and cloud technologies is also required.
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As a Lead Machine Learning Engineer at Strider Technologies, you will design and deploy scalable machine learning solutions focused on Natural Language Processing. You will oversee the entire ML process, collaborate with other engineers, and ensure the quality and reliability of applications while applying software engineering best practices.
The Senior Data Engineer at Fetch will design and implement scalable data pipelines, focusing on both real-time and batch data processing, and ensuring data quality and governance across systems. They will work with large datasets daily, mentor junior engineers, and collaborate with cross-functional teams to improve data accessibility and compliance.
Tenable is seeking a Staff Software Engineer to design, develop, and maintain cloud-based data services. This role focuses on data ingestion, storage, and retrieval, ensuring efficiency and reliability within a distributed microservice architecture. Responsibilities include innovation in cloud architecture, collaboration with cross-functional teams, and mentoring peers.
As a Staff Software Engineer at NerdWallet, you will develop scalable solutions for pricing pipelines, data visibility, and automation of investigations. Your role includes modernizing legacy systems and enhancing data quality while mentoring team members and driving best engineering practices in an agile environment.
The Senior Data Engineer will manage the inbounding and validation of healthcare data, design and maintain scalable data pipelines, enforce data quality standards, and mentor team members. They will collaborate with teams to provide data solutions while ensuring performance optimization in a dynamic environment.
You will lead the development of data tooling and frameworks, collaborating with teams to create a self-service platform for data management. You will define the technical vision and ensure strong governance of data access while mentoring other engineers and focusing on business outcomes.
As a Senior Data Engineer, you will design, build, and maintain a scalable and customer-centric data platform while collaborating with cross-functional teams. Your role will involve developing automation for data processes, maintaining CI/CD pipelines, and mentoring peers to enhance their skills.
Design and optimize large-scale machine learning data pipelines for training multimodal foundation models. Collaborate with researchers to manage large datasets and develop tools for data labeling and curation. Implement and improve data loading for video processing and robot learning on GPU clusters.
The Senior Data Engineer will manage and modernize data platforms, optimize data management processes, collaborate with stakeholders on data-driven initiatives, and enhance data processing efficiency. The role requires expertise in Microsoft SQL Server and related technologies to drive innovation and ensure data quality.
The Sr. Data Engineer will optimize data models, develop predictive models for group benefits, and utilize data mining and business intelligence tools for analysis. They will collaborate with teams, solve technical and business questions, and implement data pipelines for model development, contributing to organizational decision-making.
Seeking an ADAS Sensor Data Engineer to manage and synchronize sensor data for advanced driver-assistance systems (ADAS). Responsibilities include collecting and analyzing sensor data, developing software tools, and integrating data into ADAS systems. Requires proficiency in C++ and Python, as well as a strong understanding of sensor technologies and Linux systems.
This role involves managing and synchronizing sensor data from camera, LiDAR, and radar systems for advanced driver-assistance systems (ADAS). Responsibilities include collecting, processing, and analyzing sensor data, developing software tools in C++ and Python, collaborating with teams to integrate data into ADAS, and ensuring performance and reliability on Linux systems.
As a Data Ops Engineer at Deep 6 AI, you will oversee the execution of the data pipeline, implement monitoring and alerting measures, ensure data quality, collaborate with cross-functional teams, and support various projects to enhance data sufficiency and pipeline health.
The Senior Data Engineer at Citi is responsible for designing and developing Big Data solutions, migrating legacy workloads to the cloud, and collaborating with data scientists to build client pipelines using heterogeneous sources. They also drive automation, evaluate new technologies, and mentor team members on Big Data and Cloud Tech stacks.
The Senior Data Observability Engineer will lead the observability initiatives at Cherre, enhancing data observability capabilities and ensuring data health and performance for clients. Responsibilities include developing observability frameworks, mentoring teams, creating metrics and dashboards, investigating data incidents, assessing client data needs, and adopting new technologies.
The Senior Software Engineer for Data Tools will develop and integrate tools for data gathering, cleaning, and analysis, working on projects that involve data models, event frameworks, and data validation. Responsibilities include solving complex problems, managing project deliverables, and mentoring junior engineers.
The Staff Data Platform Engineer will build fault-tolerant infrastructure for Generative AI applications, design and deploy data pipelines, enforce engineering best practices, and collaborate across teams to support data science initiatives and enhance Generative AI capabilities.
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