Top Data Engineer Jobs in Portugal

Develop and manage large-scale data structures and ETL workflows, collaborate with data science teams, and enhance data systems for insights.

The Lead Data Engineer develops and manages data structures and ETL workflows, collaborates with Data Science teams, and mentors junior engineers.

The Engineer II, Test Engineer - Data role involves designing test plans, executing test cases, supporting test process enhancements, and providing QA guidance. Requires solid experience in data engineering and ETL testing.

The Sr Data Engineer will design and manage data pipelines, write ETL processes, collaborate with Data Science, and ensure data quality.

The Sr Data Engineer designs and manages large-scale data structures and pipelines, develops ETL processes, and collaborates with Data Science teams to optimize data for analytics.

The Sr. Data Engineer develops and manages data structures and ETL workflows, collaborates with Data Science, and improves systems for analytics.

The Sr. Data Engineer will develop and manage data pipelines, perform ETL, collaborate with data science teams, and optimize data systems.

The Engineer II, Data Engineering will deliver data solutions, migrate workloads to Azure, design ETL processes, and ensure data quality.

Responsible for designing, building, and maintaining data infrastructure, managing AWS services, and ensuring data reliability for Ecosystem Security.

Responsible for designing and maintaining data infrastructure, building ETL pipelines, managing AWS resources, and collaborating on data services to enhance security.

Design and implement high-throughput data pipelines for trading and analytics; optimize performance and reliability; collaborate with teams on blockchain data processing.

Lead the design, development, and governance of enterprise data platforms, overseeing ETL processes and ensuring data quality and architecture alignment with business needs.

As a Senior Data Engineer, you'll design and maintain data pipelines, uphold data governance standards, and collaborate with cross-functional teams to enhance data capabilities.

As a Principal Software Engineer, you will lead application development, enhance team productivity, and implement features while mentoring colleagues.

As a Senior Software Engineer, you will develop tools, automate tasks, analyze systems, and collaborate on software development, focusing on big data and AI integration.

Seeking a Principal Engineer to architect scalable data systems, mentor engineers, and drive innovation for high-volume data pipelines and performance.

The Senior Data Analyst/Analytics Engineer will build data models, conduct deep analyses, and design reports to drive decision-making across product and business domains.

As a Senior Software Engineer in DevOps at Roku, you'll automate and scale Big Data technology stacks, build CI/CD pipelines, and enhance cloud infrastructure management.

The role involves automating and scaling big data technologies on cloud infrastructure, building CI/CD pipelines, and monitoring production systems.

The Senior Data Engineer will design scalable data pipelines, build data warehouse and lake solutions, and ensure data quality and governance.

As a Machine Learning Engineer, develop scalable data pipelines, analyze large datasets, optimize ML models, and collaborate on AI tools for the AEC industry.

As a Software Engineer at Databricks, you will focus on distributed data systems, optimizing query execution, and enhancing data security and storage management.

As a Sales Engineer, you'll leverage your expertise in the loan market to guide sales processes, provide demos, and assist in customer engagement. You will collaborate with various teams to enhance Versana's market position, ensuring clients understand the platform's value.

The Principal SW Engineer will lead SAP Data initiatives, manage data integration projects, and collaborate with MSPs to enhance data systems efficacy.

Design, implement, and operate Kubernetes-based GPU accelerated data processing service, optimize distributed computing, and enhance real-time processing.