Data Engineering Analyst

• Analyse and drive the migration of existing applications to Databricks Apps.
• Define the best technical approach for transforming current solutions.
• Develop and maintain data pipelines using Azure Data Factory and Databricks.
• Leverage AI tools to improve efficiency during code migration.
• Collaborate with cross-functional teams for delivery.
• Act as a technical point of contact for guidance and support.
• Troubleshoot technical issues and implement high-quality solutions.

Conocimientos

Data Engineering Azure Cloud Databricks Python SQL RShiny Shiny for Python Azure Data Factory Problem-solving Communication

A leading consulting firm in Spain is seeking a Data Engineering Analyst to join their team for an international project. The role involves analyzing the migration of applications to Databricks, developing data pipelines, and collaborating with teams. Candidates should have 4-5 years of Data Engineering experience with strong skills in Azure and Python. Flexible remuneration, training plans, and a people-focused environment are offered, along with a hybrid work model between Barcelona and Madrid., * 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.
• English level B2 or higher (Spanish is a plus)., Bachelor's degree in IT, Business, or a related field