Top Data Engineer Jobs in Lisbon

As a Data Engineer II, you will design and build data models, manage data pipelines, ensure data quality, and collaborate with cross-functional teams to support the data governance framework.

As a Data Engineer at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

As a Data Engineer, build and manage data pipelines, ensure data quality, and support analytics for trading. Collaborate with teams to define data needs and best practices for infrastructure and applications.

Responsible for building data products, optimizing ETL processes, defining KPIs, and providing technical support for data activities across the organization.

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.

As a Data Engineer, you will build and maintain data pipelines, ensure high data quality, optimize data systems and collaborate with teams to provide valuable insights from data.

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.

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 Data QA Engineer, you will ensure data quality in ingestion to presentation, automate testing, and coach teams on quality best practices in Agile environments.

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 backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

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 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.

The Data Engineer will construct data pipelines, manage ETL processes, optimize SQL queries, and ensure data integrity, utilizing various tools such as Airflow, Python, and SQL.

The Principal Data Engineer will improve data pipeline architecture, optimize data flows, and support data projects for various teams in the company.

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

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

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 Middle Data Engineer, migrate SQL Server data warehouses to Snowflake, refactor ETL processes, build data pipelines, and ensure reliable data movement.

As a Senior Software Engineer, you'll design and build scalable backend systems for data science features, focusing on data processing and streaming analysis.

As a Data Engineer, you'll design, develop, and implement high-performance data infrastructure and pipelines while communicating effectively with various stakeholders.

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.

The role involves enhancing enterprise security by deploying and maintaining security infrastructures, managing DLP, firewalls, VPNs, and email security tools, while supporting incident response efforts.