2026. 03. 03. | Teljes munkaidõ | Sigma SoftwareGovernance, data warehousing, and structured and unstructured data Knowledge of SQL and experience with at least one programming language (Python or Scala) Understanding of big data databases such as Snowflake, BigQuery, etc. Snowflake is preferable Experience with database development and data modeling
Nézze később2026. 03. 03. | Teljes munkaidõ | Budapest | MP Solutions Ltd.In pipeline creation with large data sets using SQL, NoSQL or Python - Experience with cloud platforms (especially Azure, Databricks) - Expertise in ETL tools (e.g
Nézze később2026. 03. 03. | Teljes munkaidõ | Budapest | foodoraLike Excel, SQL, and data visualization platforms You have strong analytical skills, with the ability to derive insights from large data sets and recommend actionable
Nézze később2026. 03. 03. | Teljes munkaidõ | Budapest | Deutsche Telekom IT Solutions HUDeep understanding of microservice architectures and Restful protocol - deep experience with version control (git via GitLab) - SQL & PostgreSQL database - Jest (unit testing) - microservice architecture - RESTful APIs - HTML/CSS, - VueJS 3 (build tool Vite, state management Pinia, Vue-query) Nice
Nézze később2026. 03. 03. | Teljes munkaidõ | Budapest | Randstad HungarySaaS). - Fundamental knowledge of networking (IP, DNS, VPNs) and operating systems (Windows or Linux). - Basic familiarity with databases (SQL) is a plus. - A
Nézze később2026. 03. 03. | Teljes munkaidõ | Budapest | Bonapolia• Advanced SQL skills • Deep understanding of multi-layered data warehouse architectures (Raw, Staging, Data Marts) • Extensive experience
Nézze később2026. 03. 02. | Teljes munkaidõ | MOL MagyarországOf financial markets, derivatives and related risk measures; - Willingness to learn about the oil industry; - Intermediate VBA/SQL is expected, basic Python is
Nézze később2026. 03. 06. | Teljes munkaidõ | Budapest | haysSuites - Integrating automated tests into CI/CD pipelines to ensure stable and frequent releases - Performing validation of Kafka events and backend data flows - Executing SQL validations and supporting production‑like testing scenarios - Collaborating with developers, architects, and DevOps engineers
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