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Top Data Engineer Jobs in Portugal
The Data Engineer will migrate existing data flows to JWICS AWS, automate data gathering and cleaning using Python, and develop a comprehensive data management system for the intelligence enterprise. Responsibilities also include designing data architectures, implementing scalable data infrastructure, and optimizing data retrieval and storage processes.
As a Senior Data Engineer, you'll design, implement, and maintain data infrastructures and ETL pipelines, ensuring data quality and performance. You will collaborate with cross-functional teams to optimize data flow and develop reporting solutions that support decision-making processes. Your role is integral to building scalable data solutions that impact product development and operations.
The Data Engineer will build and enhance tools for data processing on the Credit Platform Data team, focusing on developing efficient ETL processes, ensuring data quality, and collaborating with internal stakeholders in an agile environment.
As an Intermediate Data Engineer at VideoAmp, you'll deliver new product features and enhance existing ones through ETL processes using Python, SQL, and Go. You will collaborate with a diverse team, participate in the full product lifecycle, and troubleshoot complex data-oriented problems to ensure high-quality, reliable solutions.
The Data Engineer will support the Department of Defense's Chief Data and AI Officer by managing data repositories, ensuring secure data processing, and automating data pipeline configurations. Responsibilities include maintaining data transfers, optimizing data structures, engaging with clients for innovative solutions, and implementing scalable coding solutions.
As a Technical Consultant - Data Engineer, you will design and implement enterprise database management strategies using Esri technology, work closely with customers to identify GIS workflows, and support the deployment phases of implementation. You will utilize programming and scripting skills primarily in Python and SQL, and configure geospatial database capabilities to enhance customer workflows.
As an Enterprise Database Engineer, you will design and implement enterprise database management strategies, consult with customers on their technical requirements, configure geospatial database capabilities, and collaborate with cross-functional teams to deliver effective solutions using Esri technology.
The Data Engineer I will design, build, and test batch and streaming data pipelines, process large volumes of data, and collaborate with teams to develop software systems for data analysis. They will be responsible for transforming raw data into datasets suitable for reporting and machine learning.
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This role involves driving Plaid's data engineering strategy, leading the creation of Golden Datasets, shaping unified data architecture, and mentoring junior engineers. You will work cross-functionally to promote data standards and ensure the effective use of data to support strategic goals, emphasizing quality and reliability in data pipelines.
As a Data Engineer at Wealthfront, you will build and maintain core datasets, collaborate with various stakeholders to curate required datasets, and ensure data quality. Your responsibilities include designing scalable data pipelines, managing reporting tools, and defining company-wide metrics while working within an agile team to deliver high-quality projects.
You will design and maintain scalable data pipelines, optimize data systems for performance and reliability, implement best practices for data security and governance, and troubleshoot data pipeline issues in a remote environment.
The Senior Data Engineer will design, develop, and maintain data tools and workflows, perform operations on large data volumes, and lead the adoption of new technologies in a collaborative environment. Responsibilities include building scalable systems for data integrity and working with teams to enhance data science products.
As a Lead Data Engineer at Capital One, you will build and support technical solutions using a full-stack development approach, collaborating across Agile teams. You'll leverage your expertise in machine learning, cloud computing, and big data technologies to deliver effective solutions that enhance user experiences and drive financial empowerment.
As a Data Engineer at Walmart Global Tech, you will collaborate with teams to understand business requirements, develop services and systems, and enhance applications. Your role involves creating scalable solutions using Java, Python, and other technologies, participating in code reviews, and ensuring operational excellence.
As a Senior Data Engineer at Aircall, you will design, develop, and maintain data infrastructure, optimize data pipelines, ensure data quality, and collaborate with cross-functional teams. You'll also mentor junior engineers and lead efforts to integrate new technologies.
The Junior Data Analyst/Data Engineer will work with language model APIs to generate synthetic datasets, automate data labeling, perform web scraping for data collection, and prepare documentation for datasets. Responsibilities include integrating APIs and managing data projects within the Conversational AI product area.
The Data Engineer will design and develop scalable data pipelines, collaborate with cross-functional teams, and optimize data systems. Responsibilities include creating ELT processes, participating in agile development, and applying best practices in data modeling and schema design to ensure data integrity.
As a Senior Data Engineer, you will design and maintain data pipelines and ETL processes using Databricks, implement CI/CD using Jenkins and Terraform, develop data models, optimize performance, ensure data quality, collaborate with teams, and mentor junior members.
The Manager, Data Engineer leads the data engineering team, manages project timelines, coordinates with departments, and aligns data projects with business objectives while developing data solutions and maintaining data governance.
The Senior Data Engineer/Manager at Takeda will lead the development of data models, ingestion pipelines, and data integrity processes for Plasma-Derived Therapies. The role involves collaborating with IT functions, optimizing data integration in AWS, maintaining data quality, and supporting Business Intelligence operations.
As a Senior Data Engineer at Capital One, you will work on designing, developing, and implementing technical solutions using various programming languages and cloud technologies. You will collaborate with Agile teams to solve complex problems and drive transformation through data engineering.
As a Senior Data Engineer at Capital One, you will design and implement technical solutions using Python, Spark, and AWS tools to create and manage data pipelines, collaborate across Agile teams, and drive new customer-facing capabilities.
As a Senior Data Engineer, you will develop and maintain robust data platforms, architect high-volume data pipelines, and optimize existing systems for performance and scalability. You'll collaborate with various stakeholders, ensuring efficient data consumption and contributing to system security and privacy compliance, while also mentoring team members.
As a Data Developer, you will develop and maintain SQL and .NET code for data extraction and loading. Responsibilities include creating documentation, building migration processes, troubleshooting SQL scripts, and ensuring database security and performance. You will also analyze existing data structures and monitor SQL jobs.
The Lead Data Engineer at Capital One will collaborate with Agile teams to design, develop, and support technical solutions, utilizing skills in big data technologies and cloud computing. They will also mentor team members and contribute to building transformative technology solutions for enterprise platforms.
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