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Oferta verificada hace 19 horas

Senior Data Engineer

UST·Madrid
Salario no indicado
Resumen Vox
  • Rol principal: Construir y mantener flujos de datos escalables en Dataiku, apoyando a usuarios y promoviendo la adopción de la plataforma.
  • Requisitos clave: Experiencia práctica en Dataiku DSS, SQL avanzado, Python, pipelines ETL, bases de datos relacionales y conocimientos en almacenamiento en la nube.
  • Condiciones y beneficios: Posición híbrida en Madrid, horario laboral completo, beneficios como días de vacaciones adicionales, planes de salud, teletrabajo y seguros.
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Descripción de la oferta

We are looking for the very Top Talentand we would be delighted if you were to join our team More in details UST is a multinational company based in North America certified as a Top Employer and Great Place to Work company with over 35000 employees all over the world and presence in more than 35 countries. We are leaders on digital technology services and we provide large-scale technologic solutions to big companies. What we look for 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 - Design develop and maintain data pipelines in Dataiku (ingestion transformation automation) - Translate business requirements into efficient data workflows using SQL and Python - Provide user support and best practices guidance across IT and business teams - Contribute to the Dataiku Competence Centre (standards reusable assets collaboration) - Deliver training workshops and onboarding materials - Integrate Dataiku into broader data ecosystems (batch processes automated workflows) - Ensure data governance security and proper documentation (lineage dependencies) - Leverage advanced Dataiku features (scenarios APIs webapps) What do we expect from you - Strong hands-on experience with Dataiku DSS - Advanced SQL and solid Python (pandas automation) - Experience with data pipelines / ETL and relational databases - Familiarity with cloud storage (AWS S3 Azure Blob) and data formats (CSV JSON Parquet) - Knowledge of Git and Agile methodologies - Good understanding of data governance and metadata management - Strong communication skills (technical 194 business) and user-oriented mindset - Proactive organized and collaborative approach Nice to have - Dataiku certifications - APIs and scripting (Bash PowerShell) - BI tools (Power BI Tableau) - Experience in financial services Work Location Hybrid position in Madrid (3 days at client019s office Sol area next to the underground). Work Schedule Business hours (40 hours weekly with 1 hour for lunch). What can we offer 23 days of Annual Leave plus the 24th and 31st of December as discretionary days Numerous benefits (Health Care Plan teleworking compensation Life and Accident Insurances). Retribuci

Panel de transparencia

Fuente original
tecnoempleo
Publicada
15 jul 2026 · fecha real
Última verificación
hace 19 horas
Puntuación de calidad
35/100
Salario indicado0
Empresa identificada0
applyUrl0
postedAt15
Descripción completa20

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