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Top Data Engineer Jobs in Portugal
As a Lead Data Engineer at Noom, you'll build scalable data pipelines, lead migration to Databricks, and improve workflows for self-service analytics. You'll ensure data infrastructure security and reliability while collaborating with various teams to support intuitive data access. Mentoring junior engineers will also be part of your role.
As a Staff Backend Engineer at Kentik, you will enhance a high-performance data-intensive platform by improving a distributed database and collaborating with cross-functional teams to develop new features and resolve engineering challenges.
The role involves configuring Adobe Experience Platform (AEP) to collect data, using AWS Glue and Spark for ETL processes, designing technical solutions for new use cases, and developing complex ETL solutions.
As a Software Engineer on the Human Data team, you will build and maintain large codebases, evaluate AI-generated code, and collaborate with cross-functional teams to enhance AI model capabilities. Your role includes identifying model blindspots and providing innovative solutions while ensuring code efficiency and reliability.
The Senior Data Engineer will design and implement data pipelines to manage large data sets for cybersecurity use-cases, collaborate with teams to support data-driven applications, and develop web services and APIs while ensuring production quality solutions.
Lead Data Engineer at CapTech will design, implement, and maintain data pipelines on cloud platforms. This includes collaborating with clients, providing technical leadership, and staying updated on cloud technologies while delivering data engineering solutions across various systems.
The Senior Data Engineer at SDF will design and maintain data pipelines, conduct data analysis, improve data accessibility, and support data-driven decision-making related to the Stellar Network's impact on the global financial system.
As a Senior Data Engineer, you will design and build data pipelines, conduct data analysis, improve data accessibility, and create data products to support the Stellar Network’s impact. Your role will involve collaborating with teams to translate business priorities into actionable data insights.
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As an Informatica Data Quality Engineer, you will conduct automated and manual testing of data sets, manage integration and regression testing processes, and ensure compliance with data specifications. Responsibilities include writing testing plans, working closely with product managers and data engineers to establish testing strategies, monitoring quality reports, and automating test cases.
As a Lead Data Engineer at Nuna, you will help build scalable data engineering solutions and expand the architecture of a Data Platform. You will work closely with interdisciplinary teams to enhance workflows and improve healthcare products, while also establishing best practices in data engineering and mentorship.
Lead technology evaluations for data-driven and AI-powered solutions using Salesforce platforms. Design tailored data solutions and create use cases for clients while collaborating with sales teams to deliver engaging demonstrations and technical workshops.
The Senior Data Engineer will develop and scale data platforms, create real-time streaming pipelines, collaborate with various teams, manage technical documentation, and participate in an on-call support rotation. They will implement data services using cloud platforms and manage data integration projects.
As a Senior Data Engineer, you will lead the design, development, and optimization of data infrastructure and pipelines. Responsibilities include translating business needs into data models, enhancing data quality, mentoring junior engineers, and optimizing data pipelines for performance. You will collaborate with cross-functional teams to deliver impactful analytics and machine learning solutions.
The Senior Analytics Engineer will work with stakeholders to address data challenges, conduct exploratory analysis, and improve product features based on user feedback. They will also stay updated on analytics technologies to drive business value.
The Senior Data Engineer is responsible for analyzing existing data sets, defining data requirements, and performing statistical modeling to improve decision-making processes. Key responsibilities include managing projects, coaching lower-level professionals, developing reports using SQL, and delivering analytic solutions while ensuring data quality and compliance with development standards.
The Senior Data Engineer at Compass will develop and operationalize scalable data pipelines and manage complex datasets. Responsibilities include improving data integrity, collaborating with stakeholders, and providing on-call support. Candidates should possess strong experience in SQL, Python, and AWS, along with significant expertise in data pipeline orchestration.
The Senior Data Engineer will build and maintain scalable data processing systems using AWS and various big data technologies. Responsibilities include developing real-time and batch data pipelines, ensuring data quality, and collaborating with cross-functional teams on architecture and best practices.
As a Lead Data Engineer at CapTech, you'll design and maintain modern data pipelines, provide technical leadership, and collaborate with product owners to deliver optimal data engineering solutions on cloud platforms. You're expected to stay current with cloud technologies and ensure solutions align with customer needs.
As a Senior Data Engineer at Argo Group, you will implement data ingestion and transformation pipelines for large-scale organizations, leveraging tools like Snowflake and Talend. You will design ETL processes, support data platforms, and collaborate with teams to drive business outcomes. Strong analytical skills and a problem-solving mindset are essential.
The Sr. Data Engineer will manage and optimize vector databases, lead data infrastructure migrations, ensure reliable performance and scalability of data systems, implement cloud solutions, and apply SRE practices to enhance system availability. Collaboration with cross-functional teams and troubleshooting issues related to data infrastructure is also key.
The Senior Data Engineer at Bitsight will focus on optimizing data flows, ensuring data quality, and developing scalable data pipelines. Responsibilities include collaborating with cross-functional teams, managing data architecture, and supporting data science initiatives with high-quality engineering solutions.
As a Senior Data Engineer at Spokeo, you will develop, optimize, and improve data technologies including ETL processes and data pipelines. Your role will involve working with AWS and tools like Airflow and PySpark to create automated data solutions, develop data products, and ensure data quality and governance.
As a Senior Data Engineer, you will design and develop scalable data infrastructure and pipelines, mentor junior engineers, and ensure high-quality reporting and analytics to drive business success. Responsibilities include optimizing data models, collaborating with teams, and enforcing data quality standards.
As a Senior Data Engineer, you will lead the optimization and scaling of data systems, mentor engineers, and develop machine learning projects. You will design ETL processes, create reporting tools using data visualization platforms, and enhance data infrastructure. Collaborating with product and engineering teams, you'll address business needs and ensure effective data operations.
The Software Engineer role involves building and scaling data pipelines, processing and ingesting large datasets, and developing ETL processes. Collaboration with various stakeholders to ensure data integrity and delivering insights is key.
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