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Top Data Engineer Jobs in Portugal
The Principal Data & Integration Engineer will lead agile software development efforts, ensuring data governance and development best practices. Responsibilities include understanding business and IT strategy, mentoring staff, managing projects, and enhancing system reliability and performance. This role also requires hands-on programming and problem-solving.
Lead the replication administration team focusing on server software upgrades, licensing, and vulnerability remediation. Manage replication tasks, set up new endpoints, and oversee various database systems. Participate in strategic IT objectives, mentor staff, and ensure project success through effective communication and monitoring. Engage in hands-on coding and problem-solving while adhering to best practices in data governance and software development.
The Principal Data and Integration Engineer will lead a reporting administration team, responsible for server/software maintenance, report deployment, and overseeing 24-7 on-call support. They will guide agile development, ensure data governance, and mentor team members while balancing tasks and monitoring project progress. They will use various reporting tools and database systems to enhance system reliability and performance.
As a Backend Java Engineer, you will design, implement, test, and deliver back-end data integrations and processing for ArcGIS Data Pipelines. Responsibilities include building connectors, server-side components, and web services, ensuring scalable capabilities, and collaborating with teams to refine requirements.
The Lead Data Engineer will design, build, and maintain scalable data pipelines and analytics solutions to support Nike's Advanced Analytics and Business Intelligence initiatives. Responsibilities include leading a team of engineers, collaborating with cross-functional stakeholders, implementing data governance, and optimizing data processing architectures.
As a Senior Quality Engineer in Data Analysis & Digital Creation, you will analyze and automate data processes, supporting business decisions and improving product quality. You will create data analysis tools and consolidate information across multiple regions while training users in analytical tools.
The Senior Data Support Engineer role involves providing support for ETL processes, report generation, and data lake maintenance. Responsibilities include troubleshooting production failures, updating ETL processes, and communicating with internal business partners to resolve issues in a timely manner.
The Software Engineer will be responsible for developing large new areas within data management software, handling the entire product lifecycle, and ensuring high reliability of system software. This role demands experience with AI infrastructure at scale and solid Python knowledge. Multi-tasking and quick adaptation to new technologies are essential.
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The Data Protection Engineer will design and implement data loss prevention (DLP) programs for both endpoints and email systems within a large enterprise. Responsibilities include assessing DLP tools, configuring reporting capabilities, and monitoring alerts. This role requires strong experience with Microsoft Office 365 and data protection strategies.
As an ETL Developer / Data Architect, you will work closely with clients to design and implement BI solutions, focusing on data warehouse architecture, ETL implementation, data modeling, and report/dashboard creation using tools like Tableau and Power BI.
The Data Systems Engineer will interface with data teams to support data access and availability, extract and clean data for a cloud database, oversee data quality initiatives, implement process improvements, and assist stakeholders with technical data issues.
The Senior Machine Learning Engineer will design and implement machine learning solutions to enhance merchant data, ensuring data quality and discovering insights. The role requires expertise in machine learning, big data ecosystems, MLOps, and automation frameworks.
As a Senior Data Engineer, you will design, develop, and optimize data infrastructure and pipelines, translating business needs into scalable solutions. You’ll mentor junior engineers, enhance data models, drive data quality, and collaborate with cross-functional teams to ensure effective reporting and analytics.
As a Software Engineer (Backend/Data), you will develop data infrastructure for medical data, build interfaces for data access, and create scalable machine learning platforms. You should have a solid background in software engineering with experience in backend, data pipelining, and strong collaboration skills.
The Software Engineer (Backend/Data) at Fathom will develop data infrastructure for ingesting and normalizing medical data, build interfaces to the data, and create systems that support scalable cloud-based machine learning. The role requires strong backend coding skills and problem-solving abilities, focusing on collaboration.
The Software Engineer (Backend/Data) will develop data infrastructure to manage and normalize medical data, build interfaces, and create scalable cloud-based machine learning solutions. Key tasks include backend development and integrations, utilizing strong computer science principles, and collaborating effectively with teammates.
The Senior Geospatial Big Data Developer will be responsible for designing and implementing software solutions, resolving operational issues, and working collaboratively with end users. The role involves the use of containerization technologies and various data technologies to enhance intelligence analysis capabilities.
Responsible for leading and participating in the design, development, and maintenance of software applications, focusing on cloud native solutions. Collaborate with cross-functional teams to enhance data-driven features, improve user engagement, and mentor junior engineers while maintaining high coding standards.
The Senior Software Engineer will work on developing and maintaining shared services for PlayOn's Data Science team, focusing on cloud-native software solutions and collaborating with multifunctional teams to enhance consumer engagement through data-driven features.
The Sr Data Engineer is responsible for designing and building data pipelines and repositories that support analytics and reporting needs. They collaborate with business, IT, and analytics teams to create reliable data products while leveraging best practices in data architecture.
As a Data Engineer, you will build internal Data Platform Tools to support teams like Video and Growth. Responsibilities include collaborating with stakeholders, integrating open-source solutions, optimizing services, and enhancing system performance to manage large datasets.
The Software Dev Engineer II will design and build efficient data pipelines for processing large volumes of data. Responsibilities include ensuring data quality, modeling data structures, and collaborating with various stakeholders on data solutions. The role also involves troubleshooting data issues and optimizing real-time data ingestion processes.
The Principal Software Engineer at Yahoo Search is responsible for building and maintaining scalable data pipelines, leading technical implementations, participating in design discussions, and collaborating in data strategy teams. This role requires a deep understanding of databases and programming languages, along with strong analytical, problem-solving, and team leadership skills.
The Senior Software Dev Engineer will develop and enhance software, participate in data warehouse design, and improve functionality for applications. Responsibilities include data ingestion from various sources, maintaining ETL pipelines, mentoring junior engineers, and troubleshooting production issues.
As a Senior Data Engineer, you will implement data ingestion and transformation pipelines for large organizations. Responsibilities include designing scalable ETL processes, managing data processing platforms, and working collaboratively to automate deployment processes. Strong SQL, ETL, Talend, and Snowflake skills are essential, alongside experience in Agile environments.
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