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Top Data Engineer Jobs in Portugal
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As a Data Engineer at Lyft, you will develop and manage data pipelines critical for the company's operations. This involves designing data models, improving data processing performance, and ensuring data quality. You will collaborate with various teams to bridge business needs with technical solutions, driving projects from design to implementation.
As a Data Engineer, you will collaborate with scientists and software developers to design, develop, test, and maintain programs for NCBI's biomedical data resources. You will focus on implementing bioinformatic algorithms and developing cloud-ready tools and pipelines for managing large genetic datasets effectively.
The Data Engineer will develop and support applications using SQL and Python, collaborate with stakeholders, manage workstreams, and involve in project execution. The role includes working with offshore teams and exploring Generative AI solutions while ensuring technical delivery and ownership over processes.
The Data Engineer/Principal Data Engineer at Northrop Grumman is responsible for designing, developing, and maintaining ETL pipelines and data visualizations from various data sources. The role demands proficiency in Python, SQL, and Tableau, alongside experience in data integration and a solid understanding of Agile methodologies. The position requires a security clearance and focuses on enhancing data usage and performance monitoring.
The Lead Data Engineer at RapidScale will develop and implement data solutions, modernize infrastructure, migrate legacy systems to cloud platforms, and collaborate with teams to create scalable data pipelines. Responsibilities include optimizing data storage, ensuring data quality, maintaining CI/CD pipelines, and using Infrastructure as Code practices.
The Data Engineer will support defense analytical requirements by designing and managing data architectures. Responsibilities include implementing data management systems, optimizing data throughput and performance, and participating in backend database technology selection.
As a Senior Lead Data Engineer at Capital One, you'll lead a team to design and implement cloud-based solutions, utilizing big data technologies to solve complex problems and drive business transformation within a collaborative environment.
As a Data Engineer, you will build and optimize production-grade data solutions on AWS or GCP, develop scalable ETL pipelines, and manage data storage and transformation routines. You will work closely with the Machine Learning and Data Platform team and engage with both technical and business stakeholders.
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As a Data Engineer on the Starlink GNC team, you will build reliable data pipelines, analyze satellite health data, and collaborate on software solutions to enhance SpaceX's operations, while taking ownership of engineering challenges and producing impactful software solutions.
As a Data Engineer, you will gather, cleanse, and prepare data for AI models, ensuring high-quality data for research and development. Responsibilities include collecting data from various sources, cleansing and preprocessing it, developing data pipelines, collaborating with machine learning engineers, and implementing efficient data storage solutions.
The Sr Talend Data Engineer will develop complex Talend data pipelines, perform data reconciliation and unit testing using SQL, and interact with AWS services, specifically reading data from S3 and writing to Redshift.
The Lead Software Engineer will collaborate with project stakeholders, design data processing pipelines using AWS services, manage and improve data tools, and contribute to the technical vision while ensuring high standards in the codebase and data handling practices.
As a Data Engineer, you will design and maintain scalable data pipelines using Java and Spark, optimize SQL queries, and implement solutions with Snowflake. You'll collaborate with teams to understand data requirements and ensure efficient data processes, and may develop visualizations with Tableau.
As a Data Engineer in Monetization at Twitch, you'll create and maintain data architectures and pipelines, enhancing the usability of large datasets for stakeholders. You will collaborate with data scientists and engineers to ensure data solutions are scalable, automated, and fault-tolerant using various cloud and data handling technologies.
The Data Engineer will develop and support data enablement applications utilizing SQL and Python, collaborate with multiple stakeholders, execute project plans, and manage processes to ensure delivery. This role requires hands-on technical expertise and involves working with offshore teams and external vendors, while also exploring opportunities in Generative AI.
As a Data Engineer, you will prepare data for AI applications through ETL processes, ensuring data quality, cleansing, and compliance while developing data pipelines for model training and deployment.
Lead the design and development of robust data architectures that support scalable, secure, and efficient data pipelines. Drive innovation, mentor team members, ensure data quality and resilience, and collaborate with cross-functional teams to deliver impactful data solutions.
In the role of Data Engineer at Hiveon, you will develop and support enterprise-level statistics services, design data storage solutions, optimize queries, and create impactful reports for high-load HPC business management. You will collaborate with development teams and perform database performance monitoring and improvement tasks.
As a Data Architect/Principal Data Engineer at Scribd, the role involves leading the design and development of data architecture, guiding data modeling, integration, processing, and delivery standards for modern data products. This position requires expertise in building robust data systems, developing data pipelines, and collaborating with cross-functional teams to enhance data strategies for customer satisfaction.
The Data Engineer will create and manage data sources, assist with SQL queries for the Analytics team, contribute to project workflows, and develop reporting solutions, enhancing data accessibility for business stakeholders.
As a Lead Geospatial Data Engineer, you will develop and enhance data flows, manage data extraction and transformation processes, troubleshoot databases, and leverage geospatial data for organizational systems. You will work in a dynamic environment focused on data quality, mapping, and overall data management, ensuring efficient and accurate data handling.
The Senior Data Engineer will design, develop, and maintain a data platform using Azure technologies. Responsibilities include ETL processes, data extraction, transformation, loading into Azure Data Lake or SQL Database, creating data pipelines, and supporting business analytics with self-service dashboard development.
The Principal Data Engineer will design and maintain ETL pipelines, collaborate with teams on data integration, implement data transformation logic, and ensure data quality. The role requires strong organizational skills, a focus on data governance, and experience working with large datasets and ETL technologies.
The Financial Data Engineer will ensure accuracy in P&L across asset classes, implement pricing methodologies for illiquid products, and collaborate with various teams to troubleshoot discrepancies. Responsibilities include overseeing P&L processes, developing metrics, and maintaining data components for performance evaluation.
The Data Engineer is responsible for developing and maintaining data technologies, data pipelines, and cloud-based solutions within the organization. This role involves collaborating with teams to drive tax decisions and enhance user experiences while ensuring data security and scalability.
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