Data Engineer / devops Senior H/F
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Senior Data Engineer at Capitole designing, building, and maintaining scalable data pipelines and storage/processing solutions on Azure (Databricks, Data Factory) using Python, PySpark, and SQL, with CI/CD automation. 100% remote from Spain on a permanent contract.
Do you have experience building scalable data solutions on Azure?
Por favor, asegúrese de leer atentamente los siguientes detalles antes de enviar cualquier solicitud.
At Capitole, we are looking for a Senior Data Engineer (M/F) to join an international project, working closely with Data Science and Analytics teams.
Design, develop, and maintain scalable data pipelines.
Implement data storage and processing solutions on Azure.
Automate data ingestion, cleansing, and transformation processes.
Ensure data quality, integrity, and security.
Monitor data systems and resolve potential issues.
More than 3 years of experience as a Data Engineer.
Strong professional experience working with Microsoft Azure.
Solid expertise in Azure Databricks and Azure Data Factory.
Advanced proficiency in Python and Apache Spark/PySpark.
Strong SQL skills, including joins, GROUP BY clauses, subqueries, and temporary tables.
Experience developing ETL/ELT processes and data pipelines.
Knowledge of orchestration tools such as Azure Data Factory, Airflow, or Control-M.
Experience with Azure DevOps, Jenkins, or other CI/CD tools.
Advanced level of English required.
100% remote from Spain with a permanent contract.
Exciting projects, cutting-edge technologies, and agile methodologies.
1,200 per year for training of your choice.
Flexible working hours.
More than 550 qualified professionals representing up to 24 nationalities.
Private medical insurance. xqbhyrx
Sharing knowledge across the company is essential to us!
The employee will adhere to information security policies:
Will have access to confidential information related to Capitole and the project they are working on.
Hay opciones de teletrabajo/trabajo desde casa disponibles para este puesto.