Senior Data Engineer
Role details
Job location
Tech stack
Job description
A hands-on Dataiku Specialist / Data Engineer who can build scalable data workflows, support business users, and drive adoption of the platform across the organization.
Main tasks and accountabilities will be:
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Design, develop, and maintain data pipelines in Dataiku (ingestion, transformation, automation)
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Translate business requirements into efficient data workflows using SQL and Python
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Provide user support and best practices guidance across IT and business teams
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Contribute to the Dataiku Competence Centre (standards, reusable assets, collaboration)
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Deliver training, workshops, and onboarding materials
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Integrate Dataiku into broader data ecosystems (batch processes, automated workflows)
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Ensure data governance, security, and proper documentation (lineage, dependencies), Nunca debes compartir tus datos bancarios ni fotos de tus documentos al solicitar un empleo. Si tienes alguna duda sobre un proceso de selección En esta oferta serás redirigido a la pagina web de la empresa. Completa el formulario en su web.
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Madrid (Híbrido) Ubicación
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Big Data Funciones
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Jornada completa Jornada
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3-5 años Experiencia
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Indefinido Tipo contrato
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Dataiku SQL Python pandas
Requirements
Strong hands-on experience with Dataiku DSS
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Advanced SQL and solid Python (pandas, automation)
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Experience with data pipelines / ETL and relational databases
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Familiarity with cloud storage (AWS S3, Azure Blob) and data formats (CSV, JSON, Parquet)
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Knowledge of Git and Agile methodologies
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Good understanding of data governance and metadata management
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Strong communication skills (technical 194 business) and user-oriented mindset
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Proactive, organized, and collaborative approach
Nice to have:
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Dataiku certifications
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APIs and scripting (Bash, PowerShell)
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BI tools (Power BI, Tableau)
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Experience in financial services
Work Location: Hybrid position in Madrid (3 days at client 019s office, Sol area, next to the underground).