Top Data Engineer Jobs in Lisbon

The Senior Data Platform Engineer will develop and manage a large-scale data platform, oversee infrastructure performance, and mentor other team members.

The Data Engineer will design ETL/ELT pipelines, maintain Power BI models, enforce data quality, and collaborate with AI/ML teams on structured datasets, ensuring reliable data governance in Azure and Fabric environments.

The Senior Product Data Engineer will build, iterate, and launch data products, focusing on large-scale data processing and ETL/ELT pipelines, using various technologies and implementing AI features.

As a Data Engineer, you'll analyze user data and product performance, create dashboards, and utilize SQL and Python to derive insights for business strategies.

Build and maintain Spark-based data pipelines for Veeva Link's next-gen data platform. Design, implement, and refactor features using JVM languages or Python, collaborate with data science to operate ML models, and ensure observability, monitoring, and quality across the data processing platform.

Design and maintain AWS-based data pipelines, processing vehicle data, implementing ETL/ELT infrastructure, and collaborating with stakeholders to deliver analytics-ready datasets.

As a Data Engineer, you will design and manage data pipelines, process diverse data types, and support stakeholders in technology decisions. You'll also improve pipeline performance and work on innovative projects to create intelligent data products for clients.

You will gather and process data using various frameworks, monitor pipelines, design and manage data pipelines, and support stakeholders in tech decisions.

As a Data Engineering Intern, you'll design and maintain data infrastructure, build ETL pipelines, optimize workflows, and support data quality efforts while learning modern data tools.

The Data Engineer role focuses on programming, data integration, and working within cloud environments while ensuring team collaboration and professional development.

As a Data Engineer, you will analyze complex data sets, collaborate with teams, perform ETL processes, and contribute to data model design and reporting.

The role involves designing and migrating data processes from SQL Server to GCP, developing ETL pipelines, optimizing databases, and collaborating with teams to ensure smooth transitions and data integrity.

The AWS Data Platform Engineer will build and maintain data pipelines, improve data infrastructure, collaborate with teams, and ensure data reliability.

As a Mid Data Engineer, you will design data tools, automate processes, and collaborate with clients to enhance their data needs.

The Junior Data Engineer will design and optimize data infrastructure on GCP, focusing on ETL/ELT pipelines and ensuring data quality, governance, and security.

Design and maintain data pipelines while optimizing data warehouses, collaborating with analysts and scientists, and ensuring data integrity through quality measures.

As a Data Engineer, you'll build and optimize data infrastructure, manage pipeline migrations, and implement data governance and monitoring tools that improve data quality and observability.

Design and implement data pipelines and solutions using Azure services, focusing on data modeling, transformation, and compliance in a collaborative environment.

Lead AI Engineer will develop and deploy LLM-powered features, design scalable data pipelines, and optimize AI model performance in production environments.

The Software Engineer will support data collection for model training, manage ingestion pipelines on GCP, and collaborate with data scientists to enhance dataset quality and scale.

Develop ML and AI products, optimize pipelines, collaborate with teams, mentor junior engineers, and resolve production issues in a high-scale environment.

As a Junior Data Engineer, you will design and maintain data architectures, process large data sets, and work with tools like Spark and AWS.

The Data Engineer will design and maintain data architectures, develop data pipelines, monitor data processing performance, and mentor junior team members.

The Python Data Engineer will design and maintain scalable data pipelines, develop data models, ensure data quality, collaborate with teams, and adhere to data governance.

The Data Platform Engineer will create and manage data pipelines, build cloud data solutions, and manipulate large datasets to provide actionable insights, primarily using AWS and PySpark.