Descripción de la oferta
Here at CORUS we are looking for a Data Engineering Analyst to join our team in an international project. Location: Barcelona or Madrid, hybrid (1 day in the office). Duration: 9 months (might extend). You will: Analyse and drive the migration of existing applications from Posit (R/Shiny) to Databricks Apps (Python / Shiny for Python) within the Azure ecosystem. Define the best technical approach for transforming current solutions into scalable and efficient architectures. Develop and maintain data pipelines using Azure Data Factory, Databricks, and Azure SQL. Leverage AI tools to accelerate code migration and improve efficiency. Collaborate with cross-functional teams to ensure smooth delivery aligned with business needs. Act as a technical point of contact, providing guidance and support to stakeholders. Troubleshoot technical issues and implement effective, high-quality solutions. You should have: 4–5 years of experience in Data Engineering or similar roles. Strong experience with Azure Cloud and Databricks environments. Proven experience in application migration projects. Solid programming skills in Python, R, and SQL. Experience working with RShiny and/or Shiny for Python. Knowledge of data architectures, databases, and serverless solutions. Hands-on experience with Azure Data Factory, Azure SQL, and Azure DevOps. Strong analytical and problem-solving skills. Ability to work independently and manage multiple priorities. Bachelor’s degree in IT, Business, or a related field. English level B2 or higher (Spanish is a plus). What do we offer: Flexible remuneration and a personalized training plan. People-focused team. Dynamic work environment, with real possibilities for professional growth. International projects of high technological value. At CORUS we are very conscious of the importance of respecting diversity. No one will be excluded from this call for applications on the grounds of race, colour, age, sex, marital status, ideology, political opinions, nationality, religion, sexual orientation and/or any other personal, physical or social condition. This process is aimed at choosing the best professionals through a selection process based exclusively on merit and skills.
