Top Data Engineer Jobs in Portugal

Join Recorded Future's Talent Network as a Data Engineer, focusing on Python, ETL pipelines, and web scraping. Stay updated for future opportunities.

The role involves building data platforms and pipelines, integrating AI solutions, and collaborating with product owners to address complex client issues.

Design and maintain test automation frameworks for big data, conduct testing, collaborate with teams, and ensure data quality.

The Senior Data Engineer will design and implement data architectures and pipelines, collaborate with teams on data services, and support data analytics initiatives.

The Lead Data Engineer will develop and manage data structures and pipelines, write ETL processes, collaborate with data science teams, and mentor junior engineers.

The Sr. Data Engineer at CVS Health will develop data structures and ETL workflows, collaborate with Data Science, optimize queries, and manage large-scale data systems.

Design and maintain data pipelines using various GCP and data processing technologies, ensuring data quality and compliance while collaborating with teams.

The Sr. Data Engineer develops and manages large-scale data structures and pipelines, ensuring data quality and integrating models for analytics. Responsibilities include ETL process development, data analysis, and collaboration with the Data Science team.

The Staff Data Engineer will develop and manage data structures, pipelines, and ETL workflows for data analysis in retail and healthcare, collaborating with the Data Science team and optimizing data processing systems.

Develop and manage large-scale data structures, pipelines, and ETL workflows, collaborating with data science teams and utilizing cloud technologies.

Design and manage data structures and pipelines, develop ETL processes, collaborate with Data Science teams, and maintain data quality standards.

The Sr. Data Engineer will analyze and build large-scale data structures, manage ETL workflows, collaborate with Data Science, and enhance data systems.

Design, build, and manage large scale data structures and ETL workflows while collaborating with data science to generate insights and support reporting needs.

The Sr. Data Engineer will develop data structures, ETL workflows, and collaborate with Data Science to tackle data engineering problems.

The Senior Data Platform Developer will enhance the big data infrastructure on Google Cloud Platform, ensuring data availability for analysis, design new platforms, and mentor team members.

The Analytics Engineer will design and maintain data models, optimize data architecture, collaborate with stakeholders, and ensure compliance with data governance policies.

The Senior Data Quality Engineer will ensure software quality through test automation framework development, comprehensive testing, and collaboration with engineers for data pipeline validation.

The Senior Data Quality Engineer at Tatari will enhance software quality by developing testing frameworks, executing tests, and ensuring data pipeline reliability.

As a Senior Data Quality Engineer, you'll ensure software quality, develop test automation frameworks, conduct testing, and enhance data pipeline resilience.

Design and develop data models, pipelines, and practices to support a digital app, ensuring reliable and scalable data procurement.

Develop scalable data solutions and algorithms, mentor junior engineers, and enhance data models for business needs in a collaborative environment.

The Lead Data Systems Engineer will optimize data-driven manufacturing processes, develop full-stack applications, implement automation scripts, and collaborate with engineering teams.

Develop backend data processing systems, automate infrastructure for GPU clusters, and collaborate on technical data requirements and model training optimizations.

Design and develop tools for scientific analysis software, manage distributed systems, and ensure high product quality in agile environment.

Design and develop data management tools for scientific instruments, focusing on efficiency, resiliency, and agile development methodologies. Collaborate with teams and deliver high-quality products.