Top Data Engineer Jobs in Lisbon

Design, build, and maintain end-to-end data pipelines and data platforms on GCP. Develop Python transformations, enforce data quality, implement monitoring, ensure governance, and collaborate with stakeholders to deliver scalable, release-ready solutions.

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

As a Senior Clinical Data Science Programmer, you will design and implement data pipelines, ensuring data integrity and collaboration with various users in a fully remote environment.

The Data Engineer will focus on data engineering best practices, data transformation using DBT, managing data pipelines, ensuring data governance, and maintaining data security within a remote team environment.

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.

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.

The role involves building and maintaining Data Security products, focusing on APIs and distributed code to enhance security visibility and reliability.

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.

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

The Data Engineer at Creoate is responsible for delivering data solutions, participating in task breakdown, improving workflows, and ensuring data accuracy. They will engage in root cause analysis for production issues and independently manage tasks and solutions.

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

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.

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

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

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 develop and maintain data pipelines, manage data flow, and ensure governance of the data lakehouse, collaborating with cross-functional teams to deliver data-driven solutions.

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

The role involves building and maintaining data infrastructure, ensuring efficient collection, processing, and storage of data while collaborating on projects and employing data quality measures.

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.