Top Data Engineer Jobs in Lisbon

Develop and enhance the Cloudflare Analytical Database Platform, focusing on performance, reliability, and new features while collaborating with teams and the ClickHouse community.

The role involves designing, developing, and maintaining scalable distributed systems for data delivery, analytical databases, and data retrieval processes. Responsibilities include optimizing performance, collaborating with teams, and enhancing customer-facing APIs.

Responsible for developing customer-facing APIs, enhancing alerting platforms, optimizing analytical queries, and ensuring operational health of systems in a distributed data environment.

As a Distributed Systems Engineer, you will design and build logging platforms, develop data connectors, ensure compliance of audit logs, optimize data delivery, and maintain operational health through monitoring and collaboration with other teams.

The Data Engineer will design, develop, and maintain data pipelines on Google Cloud Platform, innovate with AI, and collaborate with stakeholders.

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.

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.

Implement and manage systems for capturing, processing, and analyzing R&D and CMC data for faster decision-making in pharmaceutical development.

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

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

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.

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.

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

As a Data Engineer, you will design and operate data pipelines, focusing on data ingestion, ETL integration, and maintaining data quality in an agile environment.

Develop analytical infrastructure for CRM, automate data pipelines, implement AWS technologies, collaborate on analytical solutions, and ensure data integrity.