Top Data Engineer Jobs in Lisbon

As a Senior Site Reliability Engineer, you'll enhance the reliability of data infrastructure across AWS and GCP, design service architectures, respond to incidents, manage cloud infrastructure, optimize performance, and collaborate with cross-functional teams.

The Senior Software Engineer will design and build large-scale data pipelines, collaborate with teams to deliver ratings, and integrate data sources to enhance security insights.

As a Senior Platform Engineer, you will ensure data reliability on the cloud platform, build Kubernetes Operators, develop automations, and improve tooling for agile product delivery.

Seeking a skilled Data Engineer to design, develop, and deploy ML solutions with expertise in Python, Databricks, Snowflake, and AWS, focusing on supply chain management.

Seeking a Senior Data Support Engineer with 5-6 years of experience in Data Engineering, specifically utilizing Snowflake, Python, SQL, and AWS for data manipulation, warehousing, and testing processes.

Lead development of core geospatial products, data-processing and annotation tools. Set technical vision for web apps, ETL pipelines, and backend services; optimize ML model orchestration; mentor engineers; collaborate with product and customers to deliver scalable, near-real-time geospatial data systems.

As a Senior Data Platform Engineer, you will design, implement, and maintain big data architectures, focusing on Kafka and Elasticsearch. The role involves optimizing data pipelines and collaborating with cross-functional teams to ensure data system scalability and reliability.

Design, build, and maintain backend services and automation for data pipelines and internal tooling. Integrate AI/ML features, own CI/CD and observability, lead code reviews, and collaborate with cross-functional teams to ensure scalable, reliable production systems.

As a Senior Data Engineer, you will ensure the stability and performance of the Data Science Framework. Responsibilities include re-architecting big data components, analyzing workload patterns, and collaborating with product engineers and data scientists to improve system reliability and developer experience.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

The Data Engineer will construct data pipelines, manage ETL processes, optimize SQL queries, and ensure data integrity, utilizing various tools such as Airflow, Python, and SQL.

Design and maintain data infrastructure, build pipelines for data collection, ensure data quality, and collaborate with stakeholders on data requirements.