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team.it, a Portuguese IT consultancy, is hiring a Data Engineer for a hybrid client project in Lisbon. The role focuses on on-premises big data work, requiring 4+ years of experience and strong skills in Spark, Python, and Hive, plus B2-level English.
Senior Java developer building and evolving backend microservices, REST and GraphQL APIs with Java and Spring Boot. Day to day: writing unit/integration tests, code reviews, SonarQube quality checks, troubleshooting dev/production issues, and collaborating in Agile/Scrum teams — hybrid in Lisbon.
Senior fullstack developer designing and building scalable web and mobile apps end to end: React and React Native frontends, Node.js/NestJS and Python backends, and PostgreSQL databases. Requires 7+ years of experience; remote role based in Portugal, with code reviews, API integrations, and Agile collaboration day to day.
Data Engineer at IT consultancy team.it in Lisbon (hybrid, on-site project). Day to day involves building and maintaining big-data pipelines on on-premise infrastructure using Spark, Python, and Hive; requires 4+ years of experience and B2+ English.
Senior Java Developer developing and maintaining Java/Spring Boot backend microservices and REST/GraphQL APIs for an international project, in an Agile/Scrum team. Hybrid role based in Lisbon at team.it, a Portuguese IT consultancy emphasizing code quality with SonarQube.
Backend developer building server-side services with Java, Spring Boot, REST APIs and SQL relational databases in Agile/Scrum teams for an IT consulting company. On-site role in Lisbon or Porto; AWS knowledge is a plus.
A systems administrator role in Lisbon focused on backup and data protection: running Veeam Backup & Replication (ideally also Veeam Backup for Microsoft 365) across VMware vSphere/Hyper-V and Windows Server environments, managing Active Directory/DNS/DHCP, and supporting disaster recovery and business continuity. Requires 5+ years of enterprise sysadmin experience.
Senior Data Engineer working on a remote project in Portugal, building production data workloads on Databricks using PySpark and Delta Lake. Requires 5+ years in data engineering (2+ years hands-on Databricks) and fluent English; benefits include insurance, training, and flexible packages.
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