Top Data Engineer Jobs in Lisbon

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.

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.

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

The Senior Data Engineer will design scalable data architectures, implement data solutions, and collaborate with cross-functional teams to ensure data drives business outcomes.

The role involves designing data pipelines, collaborating with teams on analytics initiatives, and automating analyses based on network 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.

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

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 Data Engineer will collect data from various sources, build data pipelines, develop data marts, and validate data.

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.

The Data Engineer will design scalable data platforms, build data pipelines, develop semantic models to support AI agents, and ensure data governance and compliance.

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

Design and implement PySpark-based data pipelines, develop ETL processes, collaborate with teams, and maintain data quality standards in a fast-paced environment.

The Data Engineer will design and maintain data infrastructure, build scalable data pipelines, ensure data integrity, and integrate third-party data sources for analytical capabilities.

Develop new features, review database changes, document best practices, and improve product performance in backend engineering focusing on data frameworks.

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

Design and build data warehouse solutions, optimize ETL/ELT processes, enhance Power BI dashboards, and support training efforts for an internal team.

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

The Data Engineer will design and implement data infrastructure, build scalable data pipelines, create data models, and automate workflows while collaborating with various teams to enhance analytics capabilities.

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.

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

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

As a Senior DataOps Engineer at Entrust, you will design and implement data platforms, ensure data quality, and collaborate closely with AI and analytics teams.