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Top Data Engineer Jobs in Portugal
The Staff Engineer will lead initiatives in system reliability and performance for MongoDB Atlas Data Federation and Archiving. Responsibilities include improving system observability, guiding architectural decisions, mentoring engineers, collaborating on technical roadmaps, and optimizing data archival pipelines. This role requires a strong background in backend systems and distributed systems at scale.
As a Senior Data Engineer, you will develop data architectures and analytics frameworks, implement data pipelines, manage data lifecycles, optimize ETL tools, and work with mission partners to improve their data capabilities. Your role also involves defining new work roles and creating tailored training programs while ensuring compliance with cybersecurity policies.
As a Lead Data Engineer at CapTech, you will be responsible for designing, implementing, and maintaining modern data pipelines. You'll work closely with customers, analyze requirements, leverage cloud technologies, and provide technical leadership while staying current with data engineering trends and methodologies.
As a Senior Big Data Engineer, you will develop and maintain high scale data solutions, oversee feature development from design to production, and collaborate with various stakeholders to enhance the data infrastructure. You will be expected to research and implement innovative technologies while ensuring system performance and scalability.
As a Data Analytics Engineer at GFiber, you will analyze telemetry data from wireless products, design test cases for new Wi-Fi products, and maintain dashboards for analytics. You will collaborate with product and engineering teams to enhance CPE insights and reporting, utilizing your data science and statistical analysis skills.
The Senior Staff Data Engineer will be responsible for enhancing and supporting data assets using Snowflake and SQL Server. This role includes developing ELT processes, building data pipelines, resolving architecture issues, and collaborating within an agile team to deliver technical solutions while ensuring data integrity and security.
This role involves designing and implementing robust data systems, creating scalable data architectures, overseeing ETL processes with Apache Airflow, and building web scraping solutions. The Data Engineer will optimize cloud data solutions and work with MLOps to operationalize machine learning models.
The Data Integration Engineer will design, develop, and implement data integration solutions to support client needs. Responsibilities include collaborating with stakeholders to translate requirements into technical specifications, performing data analysis, maintaining data models, ensuring data quality, and providing support for data integration issues.
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The Sr. Data Engineer SMTS will design and implement data pipelines for various use cases, ensuring data reliability. The role involves partnering with data producers to understand data sources and collaborating with analysts for deliverable insights. The candidate will evaluate technologies for best solutions and manage data quality issues.
Senior Data Engineer responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support applications and analytics solutions. Tasks include data pipeline development, data architecture, and collaborating with cross-functional teams to align data initiatives with strategic goals.
Company Description
👋🏼 We're Nagarro. We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18,000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new coll...
As a Big Data Engineer, you will lead technical planning for data migration, design efficient data pipelines using Azure technologies, ensure data quality, and provide technical support to team members, while staying current with advancements in data engineering.
The Senior Staff Engineer will lead the development of data migration strategies, focusing on data ingestion, transformation, and storage in Azure's Data Factory. Responsibilities include maintaining data quality, providing technical leadership, and working with cross-functional teams on solutions for Supply Chain, Finance, and more. The role requires strong problem-solving skills and effective communication with both technical and non-technical stakeholders.
The Senior Staff Engineer, Big Data will develop integrations with large publishers and networks, utilizing data engineering technologies such as Scala, Hadoop, and Spark. Responsibilities include building cloud systems, maintaining high-availability production systems, and ensuring CI/CD practices in a dynamic work environment with a focus on communication and teamwork.
As a Senior Big Data Engineer, you will build integrations with large publishers and networks using technologies like Scala, Java, Hadoop, and Spark, while managing high-availability systems and leveraging cloud infrastructures. You should have solid experience in data engineering and DevOps practices including CI/CD.
As an Associate Principal Engineer in Data Science, the role involves writing and reviewing high-quality code, translating business requirements into technical designs, guiding and mentoring team members, ensuring adherence to best practices, and developing architecture for applications. Interaction with clients to identify solutions and perform POCs for technology validation are key responsibilities.
The Associate Principal Engineer will develop and optimize data pipelines using Snowflake on Azure, implement data models via Data Vault 2.0, design data products including SQL pipelines and dashboards, and automate workflows using scripting languages. Collaboration with business teams to address their data needs is also essential.
The Senior Staff Engineer in Data Science is responsible for writing and reviewing high-quality code, designing technical solutions for client needs, mentoring team members, and ensuring best practices in software architecture and design. They should possess strong data science skills, including data analysis, SQL, and expertise in machine learning and cloud technologies.
The Senior Staff Engineer - Data Scientist will support and develop products through data analysis, model development, and collaboration with stakeholders. This role involves creating statistical and optimization models, identifying trends in large datasets, and communicating insights to enhance business performance.
As a Big Data Engineer, you will lead data migration planning, design and implement scalable data pipelines, ensure data quality, and support migration phases. Collaborate with cross-functional teams to deliver data solutions across various domains, staying updated with cloud computing and analytics technologies.
The Senior Staff Engineer - Data Scientist will support product development and perform data analysis on large-scale datasets. Responsibilities include developing optimization and statistical models, collaborating with stakeholders, and communicating insights to drive business improvements.
The Senior Staff Engineer - Data Scientist will perform data analysis on large datasets, develop and deploy optimization models, and communicate insights to stakeholders. They will work with engineering and product development teams to identify data sources and automate collection processes while engaging with business requirements.
The Big Data Engineer will lead the technical planning for data migration projects, design and implement scalable data pipelines using Azure Databricks, and ensure data quality and integrity. Responsibilities include working with cross-functional teams on data solutions across various functions and providing technical support during and after migration.
Looking for a Distinguished Engineer with 18+ years of experience in cloud architecture, data science solutioning, and machine learning design. Must have strong expertise in Python, Java, C#, and cloud platforms like AWS, Azure, or Google Cloud. Responsibilities include solution design, Agile practices, SOA, and microservices architecture.
Seeking a Staff Engineer in Data Science to go beyond coding and tackle client challenges while taking solutions to the next level. Join a dynamic and non-hierarchical work culture at a digital product engineering company.
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