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Top Data Engineer Jobs in Portugal
The Azure Data Engineer at Xebia will handle the Azure Data Engineering Stack, utilizing tools like Event Hub and Data Factory, while also working with languages such as Python and Spark. Responsibilities include developing data solutions, implementing data warehouse constructs, and collaborating in Agile teams, all aiming to support digital transformation for clients.
As a Data Engineer, you will build and operationalize complex data solutions and design advanced AI applications, collaborating with various teams to improve analytics and data governance. The role involves implementing secure data pipelines and optimizing data streaming architectures while ensuring compliance with security practices.
As a Data Engineer at AndHealth, you will develop secure data pipelines for healthcare integration, manage data quality and storage, and ensure compliance with regulations. You'll leverage cloud technologies like Google Cloud Platform and BigQuery, and utilize your expertise in data manipulation to improve healthcare outcomes.
As a Principal Data Engineer at Nuna, you will lead the development of an analyst-friendly data warehouse and oversee enhancements to the data processing infrastructure. Your role involves collaborating with teams to architect solutions that improve healthcare outcomes through effective data management and integration.
The Data Engineer will design and implement database solutions, build and maintain robust data pipelines for AI model training, and monitor systems for performance. They will work with SQL and NoSQL databases, ETL tools, and cloud services to enhance data reliability and quality.
The Data Engineering Manager will lead a team of engineers in developing and maintaining scalable data infrastructure, overseeing data pipelines, ensuring data quality, collaborating with cross-functional teams, managing projects, and contributing technically to optimize performance.
The Data Engineer will design and implement microservices to deploy machine learning models, support data access layers and ingestion for PostgreSQL databases, and assist with devops and automation to prepare for production releases. Key responsibilities include coding, automating data processes, and managing day-to-day operations within a collaborative environment.
The Senior Data Engineer will design and architect data pipelines and ETL processes, maintain data lakehouse solutions, optimize data strategies across cloud platforms, mentor junior engineers, and ensure the high availability of data infrastructure while collaborating with data scientists for advanced analytics initiatives.
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As a Senior Data Engineer, you'll design, develop, and maintain data infrastructure, ensure data quality, and optimize data pipelines. You will also mentor junior team members and collaborate with data scientists and analysts to enhance data processing and storage capabilities.
The Senior Data Engineer will collaborate with data science, engineering, and product teams to develop and productionize quant models, build data products, and ensure data quality while architecting the data infrastructure for Axio's services in cyber risk management.
As a Senior Lead Data Engineer, you will lead a team focused on building foundational data capabilities, migrating batch workloads, and solving complex data problems using technologies like Python, Spark, and AWS. You will collaborate with Agile teams, design technical solutions, mentor engineers, and ensure high standards in code quality and performance.
The Data Warehouse Technologies Developer is responsible for technical support and development of Data Warehouse technologies, particularly in Global Trading. This role involves enhancing visualizations, data models, and ETL activities, as well as collaboration with teams and managing data-centric architecture.
As a Data Engineer at Branch, you will design and manage real-time data systems, collaborating with Data Scientists and Engineers to deliver analytical reports from petabytes of data while ensuring reliability and performance. Responsibilities include building data aggregation systems and making data-driven decisions with a focus on continuous improvement.
The Principal Data Engineer will lead the implementation of enterprise data strategies and ensure data quality through governance and optimized processes. Responsibilities include designing robust data pipelines, collaborating with cybersecurity and architecture teams, and fostering best practices in data management, ensuring alignment with organizational goals. The role also involves mentoring data teams and staying updated with emerging technologies.
As a Data Engineer at OKX, you will design and build offline and real-time data warehouses on Alicloud and AWS platforms, manage data pipelines using tools like Flink and Aurora, and ensure data system integrity while optimizing risk datamarts.
As a Staff Data Science Engineer at Instacart, you'll lead the development of intelligent systems, enhance data collection, and create tools for data scientists, while collaborating across teams to influence product development and improve system performance.
As a Data Engineer, you will design and maintain data infrastructure, develop ETL processes, and implement CI/CD pipelines. You will work with cross-functional teams to integrate data and support clients' analytical needs through efficient data processing.
The Senior Data Engineer will lead the Data Platform team at Grubhub, focusing on building and managing data pipelines in a cloud environment. Responsibilities include coding, code review, ensuring data quality through best practices, enabling feature teams, and mentoring others in data engineering practices.
The Data Engineer will support the DoD's integrated biosurveillance program by configuring and ingesting diverse data repositories, maintaining data transfer operations, automating configurations, leveraging cloud technologies, collaborating on innovative solutions, and ensuring efficient coding practices.
As a Data Engineer at WireWheel, you will design, construct, and deploy data pipelines for extracting operational intelligence using machine learning techniques. You will analyze client data, design algorithms for data management, and develop software systems. Your role involves handling large datasets and enhancing privacy insights from various data sources.
The Data Engineer will collaborate with researchers to meet data requirements for trading strategies, develop scripts for data processing, ensure data integrity, optimize retrieval processes, integrate new data sources, and document workflows. The role also involves providing technical support for data-related issues and staying abreast of industry trends.
Kynite, a technology company, seeks an AWS Data Engineer specialized in Snowflake to contribute to their cloud and big data services. Responsibilities likely include designing and implementing data solutions, working with AI models, and ensuring integration with existing systems.
The job involves designing, developing, and enhancing the AWS data environment. Responsibilities include setting up AWS Data Platform, building scalable Data Lake solutions, and troubleshooting complex Data Pipelines. It requires expertise in data engineering and leading proofs-of-concept to production.
The Principal Data Engineer will lead the development and maintenance of high-quality code, design robust data engineering solutions, and implement cloud-based technologies for scalable applications. Responsibilities include developing SQL queries, managing databases, and training users. The role emphasizes collaboration with cross-functional teams to deliver innovative data solutions while ensuring adherence to best practices and security standards.
The Data Analytics Engineer will create data architecture to integrate marketing data sources, support advanced sales campaigns, and build a customer data mart. Responsibilities include collaborating with the Data Science team, delivering machine learning models, and presenting actionable insights to stakeholders.
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