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Top Data Engineer Jobs in Portugal
As a Senior Data Engineer at EquipmentShare, you will design, build, and maintain a scalable data platform and pipeline for analytics and machine learning products. Your role involves collaboration with cross-functional teams to ensure robust automation and self-service capabilities, monitoring data systems, and mentoring peers.
As a Data Developer, you will be responsible for developing and maintaining SQL and .Net code for data extraction and loading. You will analyze existing data structures, develop data migration processes, and ensure SQL processes are stable and secure. Bachelor's degree in computer science and 2+ years of experience with programming, relational database management systems, C#, SQL, XML, and ETL tools are required.
The Data Ops Senior Data Engineer at Fetch will design and implement scalable data processing pipelines, ensuring robust data governance and integrity. The role involves collaboration with various teams, creating tools for data product development, mentoring junior engineers, and leading DataOps practices. The engineer will also evaluate emerging technologies to enhance data strategies.
The Senior Data Engineer will design and maintain a scalable data platform and frameworks for analytics and machine learning, collaborate with cross-functional teams, implement CI/CD pipelines, and mentor peers. The role involves ensuring data automation and monitoring for better insights into connected vehicles and deployed assets.
Seeking an Associate Principal Engineer for Big Data at Nagarro, a digital product engineering company. Looking for skilled, responsible, and entrepreneurial individuals with extensive experience and in-depth knowledge.
The Data Engineer II will design and implement infrastructure for a unified data platform, supporting organizational decision-making. Responsibilities include building ETL pipelines, maintaining data warehouses, analyzing data sources, and collaborating with stakeholders to meet data needs.
As a Data Engineer at Qarik, you will design and implement production-quality ETL pipelines, manage data lakes, and create insightful reports and dashboards. Your role involves collaborating with clients to understand their data objectives and employing tools like Databricks and Python for effective data strategies. You will also communicate technical concepts to diverse audiences and ensure optimal performance in data processing.
Join Glass Health as a Founding AI/Data Engineer and play a key role in designing and building platforms, developing user-facing generative AI features, and collaborating with cross-functional teams. You will ensure reliability, security, and performance in a startup environment focused on advancing healthcare technology.
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The Data Engineer will focus on building and optimizing the data architecture for products, including migrating databases to big data systems, enhancing automation, and building a data streaming platform. Responsibilities include managing data migration, defining event feeds for real-time analytics, and providing mentorship to team members in a collaborative environment.
As a Data Engineer I at Coalition, you'll maintain data models, ensure accuracy across data metrics, collaborate with teams to report on KPIs, improve the analytics stack's efficiency, and expand data sources through ETL pipelines.
The Senior Data Engineer will develop big data solutions, manage cloud transitions, and collaborate with data scientists to enhance data accessibility. They will define technical needs and implement best practices in data processing while mentoring team members and overseeing daily management tasks.
As a Sr. Data Engineer, you will design, develop and maintain scalable data infrastructure solutions, ensuring reliable data flow across systems. You will work collaboratively to implement ETL processes, leverage cloud solutions on Azure and AWS, and establish data governance policies while optimizing performance for large datasets.
As a Data Engineer II at Mediavine, you will build and maintain data infrastructure, develop scalable data pipelines, ensure data quality, and support analytics efforts. Your work will focus on using Python, SQL, and AWS tools to facilitate data management and analytics, participating in projects from technical design to execution, and working with a diverse team to optimize data processes.
The Data Engineer will develop database designs and architecture in an Azure environment, contribute to technical designs, secure data migrations and transformations, conduct data profiling and cataloging, and migrate ETL and SSIS packages to Azure Synapse.
The Data Engineer is responsible for data acquisition strategies, integration, and migration, while collaborating with stakeholders to establish data architecture. The role involves developing workflows, ensuring data quality, and deploying analytics programs. The engineer will also automate tasks, create data monitoring capabilities, and maintain data integrity and security, aligning architecture with business requirements.
The Data Engineer will design, develop, and maintain scalable data pipelines and ETL processes, collaborate with teams to meet data needs, optimize workflows, and troubleshoot issues. This role requires strong analytical and problem-solving skills while ensuring efficient data storage and compliance with governance practices.
The Staff Data Platform Engineer will design and build fault-tolerant infrastructure for Generative AI applications, develop data pipelines, and collaborate with cross-functional teams to implement platform solutions. Responsibilities include ensuring code security, maintaining CI/CD processes, and building data ingestion pipelines for model fine-tuning.
The Azure Data Engineer will monitor and troubleshoot data-related issues in the Azure environment, collaborate with stakeholders on data solutions, automate data pipelines, implement security measures, and document data procedures. The role demands a proactive individual with strong analytical skills and experience in developing database solutions.
As a Data Engineer, you'll design and develop large-scale data pipelines, enhance processes, integrate data sources, and write maintainable code to support various teams in the organization. You'll optimize data architectures and support ongoing projects through effective data delivery.
As a Senior Data Engineer at VideoAmp, you'll design and contribute to production-grade software and ETL/ELT pipelines, focusing on optimizing solutions for performance and scalability. You'll collaborate across teams, leveraging technologies like Snowflake and Python, while ensuring secure data architectures and analyzing complex datasets.
The Senior Site Reliability Engineer, Data Engineering at Wikimedia Foundation is responsible for building and maintaining the data infrastructure for the fundraising program, ensuring high availability and compliance, and collaborating with various teams to integrate data across platforms.
As a Data Engineer at Vytalize Health, you will design, build, and maintain data pipelines and systems to support the organization’s business objectives. You will collaborate with various teams to ensure data quality, implement scalable systems for large datasets, and document processes while ensuring data security and performance optimization.
The Senior Data Engineer will set up a new Data Warehouse in Amazon Redshift, create and maintain data pipeline architecture, improve internal processes, and build analytics tools for actionable business insights. The role involves collaboration with various stakeholders to support data infrastructure needs and enhance system functionality.
As a Senior Staff Software Engineer, you will lead the development of data pipelines and APIs that support Saildrone's ocean-going vehicles, collaborating across disciplines to ensure high-quality data and reliability for oceanic datasets.
The Sr. Software Engineer for Data & Analytics at Early Warning develops, documents, tests, and maintains data engineering solutions. Responsibilities include building data solutions, advanced analytics, collaborating with teams, and ensuring system integrity and performance.
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