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Top Data Engineer Jobs in Portugal
As a Principal Data Engineer, you will lead the technical direction of NBC News Digital's data infrastructure, design scalable data pipelines, collaborate with cross-functional teams, mentor junior engineers, and ensure data governance and quality for innovative solutions.
As a Principal Data Engineer, you'll advance BlackLine's Enterprise Data Platform, ensuring data quality, governance, and security. You'll architect solutions for complex design problems, mentor developers, and manage projects effectively while staying updated on industry trends and best practices in data engineering.
As a Data Engineer for Snap Inc, you will collaborate with various stakeholders to develop and manage scalable ETL pipelines, implement data warehousing solutions, ensure data integrity, and uphold data governance standards. You will also build tooling to enhance data consumption and maintain data security practices while supporting data pipelines on call.
The Data Engineer at Arcadia will design, build and test data connectors and ingestion pipelines, contributing to the integration of client claim and clinical data platforms. Responsibilities include peer code reviews, sprint planning, and maintaining JIRA tasks. The role requires problem solving for coding and data analysis issues within a dynamic healthcare environment.
As a Senior Manager of Data Engineering at Capital One, you will lead a team in designing and implementing full-stack data solutions, focusing on emerging technologies, machine learning, and cloud-based services. You'll collaborate with Agile teams, manage people, and ensure effective delivery of robust data systems to enhance financial empowerment for customers.
This role focuses on implementing data services, modifying data architecture, and enhancing overall data processes. Responsibilities include troubleshooting data job failures, implementing database structures, and collaborating to design end-to-end data solutions. The position requires intermediate knowledge of SQL, Python, and various data tools for efficient data management and visualization.
The AI Data Engineer will lead the development of datasets for AI training and testing, collaborating with engineering and product teams to define data specifications, optimize processes, and automate the data lifecycle. Responsibilities include managing data annotation quality, gathering various types of data, and improving efficiency in data handling.
As a Sr Lead Software Engineer, you will design and maintain data ingestion pipelines, optimize performance, ensure data quality, and collaborate with teams to solve complex data challenges while adhering to security and compliance standards.
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The Senior Data Engineer at PNC will design and maintain scalable data pipelines and ETL processes, ensuring high performance and reliability. Responsibilities include collaborating with stakeholders, optimizing data architectures, monitoring workflows for data quality, and staying updated on industry trends. This role combines technical proficiency with leadership in mentoring junior engineers.
As a Principal Data Engineer, you will lead a technical team, interact with clients, and drive projects in various industries. You will be responsible for full life-cycle project management including requirements gathering, development, implementation, and fostering creativity in design. Your role involves mentoring team members, leveraging modern technologies, and suggesting innovative solutions to meet clients' technology needs.
As a Data Engineer, you will work closely with various stakeholders to create and maintain high-quality datasets. Your responsibilities include developing data pipelines, ensuring data quality, supporting data tools, and effectively communicating complex processes to non-technical audiences.
The Data Engineer will build data pipelines and applications to support generative AI initiatives. Responsibilities include defining data requirements, executing ETL/ELT processes, designing and scaling data pipelines, optimizing internal processes, and working collaboratively with IT and business leaders to enhance data delivery.
As a Data Engineer at Bonterra, you will design scalable data models, build data pipelines, and deliver analytical solutions to empower nonprofit clients. You'll collaborate with cross-functional teams, solve complex data challenges, and mentor colleagues to promote best data engineering practices.
In this role, you'll modernize and scale the data warehouse, collaborating with various teams to design and develop data models. You'll implement tests for data quality, create metrics for decision-making, and define best practices in data modeling, improving data self-service capabilities.
As a Security Data Engineer, you will architect and implement log aggregation pipelines and help develop a centralized security data lake. This role involves designing ETL processes for data ingestion and collaborating with teams to establish best practices.
As a Security Data Engineer at Anduril Industries, you will architect and implement data pipelines, develop a centralized security data lake, and design ETL processes. You'll work with teams to establish best practices for data usage and will require strong programming skills in multiple languages.
The Senior Manager, Data Engineer at Capital One will lead a team of developers focusing on full-stack development, big data, and cloud computing. Responsibilities include collaborating with Agile teams, designing technical solutions, mentoring engineers, and delivering cloud-based systems to improve customer financial experiences.
As a Managed Services Informatica Data Engineer, you will design and implement ETL data pipelines, ensuring data quality and reliability. You will collaborate with teams to understand requirements and support senior staff on projects, while also focusing on continuous learning and personal growth.
As a Data Engineer, you will manage and optimize data pipelines, develop ETL processes using Python, maintain AWS infrastructure, model data across teams, and assist in report generation and debugging.
As a Senior Cloud Data Engineer, you will design, develop, and enhance data analytics solutions and pipelines, collaborate with cross-functional teams, implement data quality checks, and mentor junior engineers. Your role focuses on building cloud-native solutions and optimizing data processes to support data-driven decision-making in the investments sector.
As a Data Engineer at Peloton, you will build and maintain data pipelines to support analytics across business verticals. This involves working with engineering teams to implement data lake ingestion and collaborating on best practices for data platform development. You will process large data volumes for business insights and reporting.
The Data Engineer will collaborate with stakeholders to provide high-quality datasets, develop scalable ETL pipelines, manage data warehousing solutions, ensure data integrity, and maintain data security practices while communicating complex projects effectively.
As a Data Engineer I, you will collect, extract, and transform data to enhance observability and availability. You will develop data-driven solutions and build a CI/CD pipeline for data software using modern technologies in a cloud-native environment.
The Data Engineer II will develop and maintain ad-tech related data systems, focusing on data streaming, transformation, and ETL pipelines. Involvement in the entire SDLC is required, with collaboration across teams to ensure integrated and well-tested systems.
As a Principal Data Engineer at Atlassian, you will be responsible for building data solutions that support crucial business decisions. Your role includes developing backend systems, designing data models, managing analytical data pipelines, and enabling a data-driven culture throughout the organization.
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