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Top Data Engineer Jobs in Portugal
As a Senior Lead Data Engineer, you will guide a team in designing and optimizing data architecture, oversee the development of data solutions, and ensure the reliability of data products while collaborating with cross-functional teams. You will leverage cloud technologies and big data tools to build advanced data solutions and maintain data quality.
As a Product Engineer, you will develop scalable applications, collaborate with cross-functional teams, and transform high-level visions into software solutions. Your expertise in data analytics, programming languages, and API development will be essential for building enterprise-grade products. You will also contribute to technical documentation and work with cloud platforms and orchestration tools.
The Senior Data Engineer will design, implement, and maintain data pipelines, ensuring data integrity and best practices. They will collaborate with cross-functional teams on database systems and support R&D projects and production tasks, focusing on database administration and documentation in a secure environment.
Design, implement, and maintain complex ETL pipelines using Apache Spark, Apache Airflow, and AWS Glue. Collaborate with data producers to establish robust data contracts and develop advanced data models for batch and near real-time data processing.
The Senior Software Engineer will enhance and scale data ingestion pipelines, monitor data availability, collaborate on processing efficiency, implement validation checks, and work closely with the AV development team. This role is pivotal in improving data-driven solutions for autonomous vehicles.
Seeking a skilled Data Operations Engineer to support data annotation production processes by optimizing, maintaining, and scaling data labeling workflows using tools like Labelbox. Responsibilities include scripting in Python, identifying bottlenecks, integrating third-party tools, and providing technical support to project managers and labelers.
As a Senior Software Engineer for the Data Platform at Veeva Systems, you will lead the technical design and development of a new cloud-based data platform, including data ingestion, storage, and processing. Your role includes developing algorithms for complex data relationships and collaborating with the product team to adapt the platform according to market demands.
Lead the design and development of a resilient and scalable data platform within Opendata at Veeva. Responsibilities include developing core components for data ingestion, establishing best practices, and adapting the platform to market needs by collaborating with the product team.
Featured Jobs
Seeking a Senior Data Engineer with extensive experience in Databricks on AWS or Azure to design, build, and maintain scalable data architectures, ensure data integrity, and optimize data flow and collection. Responsibilities include developing ETL processes, ensuring data quality and security, and leading data governance implementation. Required skills include proficiency in Databricks, AWS services, Unity Catalog, SQL, and big data technologies, along with strong communication and problem-solving skills.
The Senior Data Engineer will enhance and optimize the data pipeline architecture, facilitating better data flow and collection across teams. Responsibilities include building and deploying data pipelines, developing warehouse architectures, and designing analytics solutions for product development and internal use.
Design, build, and optimize scalable data pipelines and infrastructure for ingesting, processing, and storing large volumes of data. Implement data quality processes, data modeling, governance, and security measures. Mentor junior data engineers.
The Senior Data and ML Infrastructure Engineer will design and optimize large-scale data platforms and machine learning infrastructure, lead infrastructure tooling improvements, implement ML Ops capabilities, and drive optimization projects for cost savings while maintaining service performance. This role requires engagement in on-call rotations to resolve complex issues.
The Senior Customer Data Platform Product Engineer will manage and optimize the Customer Data Platform (CDP) for The Pokémon Company International, collaborating with marketing and technology teams to design solutions, integrate data, enhance customer activation, and establish best practices for data usage.
The Senior Data Engineer will design, build, and support modern data environments in cloud settings. Responsibilities include creating data pipelines, managing data processing systems, and developing scalable data solutions using various tools. The role involves close collaboration with project teams and leadership to deliver analytics and machine learning capabilities.
As a Software Engineer, you will handle full stack development, designing, developing, and testing new features for protecting Oracle deployments, and troubleshooting issues faced by customers. You'll work with distributed systems and collaborate with product managers and designers to enhance Rubrik's data protection services.
The Data Integration/Middleware Developer will participate in the full application lifecycle including technical design, development, testing, and deployment. Responsibilities include maintaining systems, working with teams on architecture specifications, troubleshooting defects, and growing integration knowledge within the company.
As a Senior Software Engineer at Databricks, you will design and develop next-gen distributed data storage and processing systems, build high-performance services for cloud data storage, and enhance data engineering pipelines. You will leverage your expertise in Java, Scala, or C++, along with a strong basis in algorithms and distributed systems, to deliver impactful solutions for complex data challenges.
As a Staff Software Engineer at Databricks, you will build next generation distributed data storage and processing systems, work on high performance data management solutions such as Delta Lake, and enhance query optimization and execution for diverse workloads.
As a Staff Software Engineer on the Runtime team at Databricks, you will develop distributed data storage and processing systems, optimizing for performance and reliability. Your responsibilities include enhancing tools like Apache Spark and Delta Lake, building high-performance storage services, and tackling complex data engineering challenges to benefit customers.
As a Senior Software Engineer on the Runtime team at Databricks, you will develop distributed data storage and processing systems, focusing on improving performance and providing support for diverse workloads like ETL and data science. You will work on projects involving Apache Spark, Delta Lake, and performance optimization.
As a Staff Data Engineer, Ads at Reddit, you'll lead the analytics engineering within the Ads Data Science team to enhance data quality and automation. Responsibilities include developing robust data pipelines, creating user-friendly tools for data analysis, mentoring other data analysts, and fostering a data-driven culture across the company.
The Senior QA Automation Engineer will create test scripts and plans, analyze raw data, conduct data testing, validate transformations, and ensure data integrity while collaborating with development teams to improve quality and automate processes.
The Staff Software Engineer for the Data Platform will shape the architecture and roadmap, mentor engineers, and lead initiatives to advance the company's data platform and AI/ML applications.
The Senior Data Engineer will lead analytics and data warehousing projects using Microsoft technologies. Responsibilities include developing data solutions, collaborating with teams, and advising clients on analytics strategies. The role emphasizes mentorship and client success, within a consulting firm focused on digital innovation.
As a Software Engineer on the Growth Data Engineering team, you will manage critical data across Stripe, building scalable data products and pipelines to meet the needs of Growth, Sales, and Marketing teams. You will collaborate with internal teams, develop data models, and enhance data visibility to drive data-driven decisions and improve customer experience.
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