Top Data Engineer Jobs in Lisbon

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

The role involves building data pipelines, performing analytics, and automating analysis to derive insights from network traffic data. Collaboration with engineering teams and designing effective data solutions is key.

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

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

Design and scale backend systems for Data Science, develop common services, integrate data, and work across programming stacks in a collaborative environment.

The Data Engineer will analyze complex data, manage ETL processes, collaborate with teams, and ensure data integrity while communicating findings in French and English.

As a Data Engineer at Screenverse, you'll build ETL pipelines, ensure data quality, and contribute to data strategy in a collaborative environment.

N-iX seeks a Data Engineer with MLOps experience to create scalable ML pipelines, deploy models, and contribute to best practices in data engineering and coding.

As a Data Engineer, you will design, build, and support a cloud-based analytics platform, collaborate with teams, and solve business problems using data processing. You'll participate in agile ceremonies, adopt new technologies, and ensure quality solutions are delivered on time.

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.

The role involves building AI-driven products, designing intelligent workflows, and developing data pipelines for efficient AI integration and automation.

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

As a Senior Data Engineer, you'll build and optimize data pipelines for an AI platform, ensuring data integrity and performance while collaborating with various teams.

Design, build, and optimize scalable data platforms using Azure and Databricks. Responsible for developing ETL/ELT pipelines, maintaining data quality, and collaborating with analytics teams.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

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.

As a Data Engineer, you'll design and maintain ETL pipelines, write TypeScript code, and collaborate with stakeholders to ensure data quality and performance.

Seeking a Senior AWS Data Engineer to design data pipelines, collaborate on data-driven solutions, and manage data infrastructure to support a cybersecurity startup's growth.

As a Senior Data Engineer, design and maintain data pipelines, leverage AI for data optimization, collaborate with stakeholders, and ensure data quality.

Build and maintain data pipelines, features, and services for ML and analytics, work on APIs, microservices, and integrate LLMs while ensuring MLOps best practices.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

The Software Engineer will manage data collection for AI model training, extending cloud infrastructure and collaborating with AI scientists to enhance data ingestion and processing.

Landskill is seeking a Big Data Engineer with experience in big data tools and programming. Duties include data modeling, ETL, and integration, with a focus on personal and professional development.

Join the EDA team as a Senior Data Engineer to develop data products and optimize data warehouses. Collaborate on data modeling and analytics solutions.

Responsible for writing ETL processes, designing data warehouse architecture, preparing analytical reports, and technical elaboration of features based on data.