Top Data Engineer Jobs in Portugal

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.

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.

As a Senior Data Engineer, you will collaborate with data architects and analysts to build scalable and reliable data pipelines, manage data ingestion and transformation processes, and ensure data quality and governance. You'll use tools like SQL, Snowflake, and AWS, while participating in code reviews and Agile Scrum activities to achieve data-driven success at Pacific Life.

As a Software Engineer on the k6 Cloud Data team, you will develop large-scale distributed systems, contribute to design reviews, enhance application reliability, and collaborate with cross-functional teams. You will work with a mentor and be involved in the on-call rotation to ensure product availability while improving data processing and storage solutions for Grafana Cloud k6.

The Senior Software Engineer - Data will design, build, and maintain data infrastructure, focusing on scalable data solutions using AWS and advanced SQL. Responsibilities include optimizing data pipelines, ensuring data quality and governance, collaborating on data product delivery, and mentoring junior engineers.

The Senior Data Engineer in Analytics will design and implement analytics infrastructure, enabling data analysts and scientists to follow DataOps best practices. Responsibilities include data warehousing, ensuring data quality and governance, evaluating new tools, optimizing cloud costs, and maintaining security and compliance.

The Data & Integrations Engineer will develop and maintain web applications and APIs, manage data pipelines, and work with cloud technologies. They will also customize and integrate various SaaS and third-party systems while ensuring data quality and compliance. Collaboration with cross-functional teams and mentoring junior members will be essential.

The Principal Software Engineer II will mentor junior developers, lead data engineering projects, develop solutions for complex issues, architect data platforms, and support production systems while adhering to company standards.

As a Senior Data Processing Platform Engineer, you will design and operate Kubernetes-based event-driven data processing services. You will enhance service reliability and performance, train teams on adoption, and contribute to continuous improvement through on-call rotations and engineering best practices.

The Data Migration Engineer will work mainly on migrating data between systems while collaborating with customers to ensure outcomes are achieved. This role involves working with experienced engineers and enhancing skills through hands-on projects. The company offers a supportive environment for personal and professional growth.

The ML Data Science Engineer will focus on responsible AI, ensuring the development and deployment of foundation and predictive models align with ethical guidelines. Responsibilities include collaborating with teams to mitigate bias, building datasets, implementing models using various tools, developing metrics, and leading discussions on AI investments for fairness and safety.

As a Senior Data Engineer at Nuna, you'll build products for value-based healthcare, design data pipeline frameworks, manage production environments, and mentor junior engineers. You'll use technologies like Python, Spark, and AWS to ensure high-performance and secure data management.

The Senior Data Science Engineer will lead the end-to-end development and deployment of machine learning models, ensuring their performance through testing and optimization. Responsibilities include data extraction and cleaning, model tuning, creating prototypes, and collaborating with cross-functional teams to support data infrastructure needs.