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.

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.

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 Engineer will create and manage automated data pipelines, optimize data architecture, lead stakeholder sessions, and guide junior engineers.

The Data Integration Engineer will design and maintain integrations between client ERP systems and Prophix, focusing on data processing, API development, and collaboration with cross-functional teams.

The Senior Big Data Engineer will deliver a global big data platform, produce big datasets, write high-quality code, build and maintain automation test suites, and work in Agile development teams.

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.

Develop and automate end-to-end data pipelines, enhance self-service data ingestion and transformation, and collaborate with teams on analytical use cases.

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 Senior Data Engineer will design and maintain scalable data pipelines, ensure data quality, and develop backend services to support WalletConnect's payments infrastructure and analytics.