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Top Data Engineer Jobs in Portugal
As a Data Engineer/Developer at SeekWell, you will design and optimize data architecture, build ETL pipelines, and enhance data governance. Collaborating with various teams, you will manage data quality, track system integrity, and develop tools to support organizational analytics and decision-making.
The Data Engineer will design and maintain scalable data pipelines, optimize architecture, and ensure data quality. This role involves collaboration with data scientists and stakeholders to enhance data systems and support analytics. Key tasks include building ETL processes, monitoring data health, and maintaining documentation.
As an AI Data Engineer, you'll design and maintain data pipelines for AI/ML projects. You'll optimize workflows, transform datasets, and collaborate with teams to deliver data-driven insights, ensuring data quality and system integrity across cloud platforms.
As a Senior Data Engineer at RapidScale, you will design and implement data solutions while migrating customer systems to cloud platforms. Responsibilities include optimizing data storage, creating scalable data pipelines, and collaborating with teams to ensure data integrity and quality. You will also implement CI/CD pipelines and apply Infrastructure as Code practices.
The Principal Data Engineer is responsible for designing and implementing data solutions for direct-to-consumer consulting. This includes ETL/ELT processes, data modeling, and business intelligence, while leading analysts in delivering effective solutions to complex data problems. The role requires strong proficiency in Python and experience with cloud-based SQL and data analysis.
As a Lead Data Engineer, you will develop data pipelines, ensure data integrity, and design scalable solutions for retail partners using technologies like Spark, Scala, and AWS. You will collaborate with agile teams to deliver cloud-based solutions, perform unit tests, and mentor team members.
As a Data Engineer, you'll develop data expertise, build and support complex data pipelines, and automate financial reconciliation processes. You'll ensure data quality and integrate various data sources while monitoring the infrastructure for potential issues. The role demands a business-minded approach to data engineering, focusing on scalability and reliability.
The Senior Data Engineer role involves developing data analysis and design methodologies, implementing technical design documentation, integrating data into the Unified Data Platform, collaborating with other teams for optimal data solutions, facilitating risk management, translating business requirements into technical specifications, and ensuring quality through testing and stakeholder communication.
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As a Lead Azure Data Engineer, you will guide teams in implementing Azure data solutions, oversee data platform lifecycles, manage database migrations, and mentor junior engineers while ensuring high-quality project delivery and collaboration with clients and offshore teams.
The Senior Data Engineer is responsible for planning and managing database structures, ensuring data accuracy, and developing engineering solutions for complex data problems. They will maintain security, optimize databases, and engage with development teams to implement innovative practices that enhance performance and reliability.
As a Data Engineer at Komodo Health, you will design and implement data processing solutions, build data pipelines, and contribute to the data platform architecture while collaborating with various teams to tackle complex healthcare data challenges.
The Data Engineer develops and supports data solutions for Cornell's data warehouse and lake ecosystem. Responsibilities include collaborating with IT and customers, maintaining data feeds, and supporting migration of ETL code. The role emphasizes continual learning in a dynamic environment and requires excellent technical and communication skills.
As a Senior Data Engineer at Grubhub, you will design and maintain data pipelines, collaborate with Ads teams, optimize data storage using columnar formats, leverage technologies like Scala and Spark, and work with AWS services to ensure data integrity and efficiency while mentoring junior engineers.
The Data Engineer will collaborate on enterprise data projects, focusing on building data pipelines and developing data-driven solutions. Responsibilities include designing data architectures, deploying processing modules using SQL and Pyspark, and optimizing data flows across various platforms like Databricks and Azure Data Fabric.
As a Data Engineer, you will build and operationalize complex data solutions, design data solutions, analyze data sources, and collaborate within teams to support delivery. You will also perform system analysis and resolve defects while ensuring data quality and governance.
The Senior Data Engineer will design, develop, and manage scalable data architectures and pipelines, primarily using cloud platforms like Azure. Responsibilities include data integration, modeling, optimization, and mentoring. The role emphasizes collaboration with cross-functional teams to ensure data infrastructure supports analytics and drives decision-making.
As a Data Engineer, you will build and operationalize complex data solutions, mentor a team, and design data solutions using AWS, Databricks, Snowflake, and Python. You will support the analytics landscape by providing data accessibility and quality, collaborating with various teams, and ensuring effective data governance.
The Data Engineer will support the Diversion Team by managing data architecture, engineering, and analytics. Responsibilities include developing visual dashboards using PowerBI, automating data processes with Python, and ensuring data quality through standardized practices. The role also involves conducting detailed data analysis and reporting to provide insights to stakeholders.
The Lead Consultant, Data Engineer will deliver strategic client engagements by designing and implementing complex ETL/ELT pipelines, managing data integrations, and ensuring data modeling accuracy. The role involves collaboration with team members and clients, leading work streams, and contributing to performance enhancement projects.
The Senior AWS Cloud Data Engineer will be responsible for contributing to technology and architecture in the AWS Cloud Data Services team, participating in an agile environment, delivering features, resolving issues, and mentoring junior team members.
As a Data Engineer at Lyft, you'll manage and develop critical data pipelines, ensuring the scalability of data processing and maintaining data quality. You will also work with various data tools and collaborate with cross-functional teams to drive impactful business solutions.
The Data Engineer Analyst is responsible for delivering data intelligence services for Federal customers, leading complex projects, engaging with peers, and ensuring customer satisfaction. Responsibilities include technical delivery, troubleshooting, documentation, and mentoring while maintaining object storage systems and data engineering tasks.
The Senior Data Engineer will design and build scalable, fault-tolerant streaming data platforms, creating distributed data pipelines and analytics data stores. The role involves collaborating with Agile teams, leveraging big data technologies, and developing robust cloud-based solutions. Responsible for ensuring code quality through unit testing and code reviews.
The Sr. Data Engineer will build and operationalize a modern data environment, focusing on data extraction, transformation, and loading (ETL). Responsibilities include designing and developing data solutions, managing databases, collaborating with teams on Azure services, and ensuring software applications align with business objectives.
The Data Engineer will design, develop, test, and deploy scalable data architecture solutions, handle complex queries for data extraction, and support data collection platforms while collaborating with stakeholders to meet business needs.
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