Top Data Engineer Jobs in Portugal

As a Senior Software Engineer, you will design and develop software solutions for data protection, participate in code reviews, collaborate with cross-functional teams, and contribute to enhancing product features while debugging and resolving issues.

The Staff Data Platform Engineer will support cloud-based data platforms, particularly Snowflake, by standardizing services, building architectures, maintaining compliance, and enhancing operational excellence. The role requires working collaboratively within Agile teams and mentoring junior staff while driving improvements and scalability.

The Senior Data Engineer will create and enhance data processing solutions for VideoAmp, focusing on ETL processes using Python and SQL, and develop APIs using Go. Responsibilities include full product lifecycle participation and technical leadership, driving project ownership, and mentoring junior engineers in a collaborative environment.

The Site Reliability Full Stack Software Developer at Ankura is responsible for the design, implementation, and management of business applications across cloud and on-premises environments. This role includes developing automation solutions, conducting capacity planning, performance analysis, and ensuring system optimization and reliability, while also participating in incident and problem management.

The Site Reliability Engineer will support and enhance data platforms for the Data and Analytics teams, ensuring trusted, reliable, and secure solutions. Responsibilities include production support, cloud system migration, and collaborating with cross-functional teams to improve data processes and systems.

The Principal Engineer will design and maintain data pipeline infrastructure for network analytics, ensuring scalability and performance. Responsibilities include data collection from network devices, processing raw network data, integrating with analytics tools, optimizing pipeline performance, implementing data quality checks, and maintaining monitoring tools. Collaboration with cross-functional teams is essential.

As a Data Network Engineer, you will implement and maintain ISP network topologies, troubleshoot network issues, and support client needs while collaborating with team members. This role requires hands-on experience in network design and administration, managing multiple projects with a focus on technical solutions.

As a Senior Data Engineer at CoinFlip, you will develop scalable data pipelines, optimize data models, perform analysis and create visualizations to enable data-driven decisions. Collaborating with cross-functional teams, you will ensure data accuracy and mentor junior members in a dynamic startup environment.

Design and build data pipelines to support machine learning systems, develop ETL processes, maintain high-quality data pipelines, design data models, collaborate with stakeholders, and ensure data compliance with regulations.

The Staff Engineer will lead the architecture and development of WEX’s Data Lake platform, ensuring quality and security, collaborating with various departments to enhance data accessibility while driving the technical vision and strategy for the Data Lake to meet business needs.

The Sr. Data Engineer at T-Mobile will design and develop data architectures across various platforms, mentor team members, optimize data storage systems, lead data quality assurance, and ensure compliance with data security regulations while managing complex data workflows and architecture improvements.

This role involves leading the Secure Design Environment initiative, deploying and managing data management tools, and collaborating with various stakeholders for effective rollout and adoption. The candidate will utilize automation technologies to maintain the environment and migrate projects to the new setup.

The Software Engineer (Data) at Accrete AI will develop scalable data systems, design algorithms, and enhance the AI platform. Responsibilities include building data pipelines, collaborating with teams, ensuring scalability, and maintaining code quality. The role demands a PhD and expertise in data engineering and AI-related technologies.

As a Senior Data QA Engineer, you will ensure data accuracy and reliability within healthcare systems, develop QA processes, validate data integrity, and utilize machine learning for automation. You will collaborate with data scientists and engineers to enhance data quality, perform audits, and guide teams on QA best practices.

Contribute to the design and building out of JobNimbus data architecture and pipelines. Responsible for expanding and optimizing data systems and building them from the ground up. Support multiple teams and products in meeting their data needs.

As a Senior Data Engineer, you will design, build, and maintain data pipelines and infrastructure while collaborating with data scientists and analysts to facilitate data-driven decision making. You will apply your expertise in data engineering principles and the pharmaceutical/life sciences domain to enhance data integration and warehousing processes.

The Senior Data Engineer will build datasets and ensure quality data accessibility for product teams and data scientists. Responsibilities include designing data structures for the data warehouse, creating ETL processes, and collaborating with various teams to meet data needs and support business analytics efforts.