Hybrid Madrid Dataiku Specialist for Scalable Pipelines

EPAM Systems; Madrid; Híbrido; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Private health insurance

Stock purchase plan

Paid sick leave

Referral program

Professional certifications

Language courses

Descripción de la vacante

EPAM Systems is seeking a Senior Dataiku Specialist to design, develop and maintain scalable Dataiku DSS workflows, enabling self-service analytics and establishing a centralized Dataiku Competence Centre within a private banking technology setup in Madrid.

You will collaborate with data engineers and analysts, promote best practices, and deliver training while upholding data governance, security, and privacy.

Formación

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Responsabilidades

• Design, develop, test and maintain Dataiku workflows (ingestion, cleaning, transformation, automation)
• Translate requirements into data pipelines using SQL and Python
• Provide user support for Dataiku projects and advise on best practices
• Contribute to Dataiku Competence Centre by promoting standards and reusable assets
• Develop training materials, workshops and demos for varying proficiency levels
• Collaborate with data engineers and IT to integrate Dataiku into batch/automated workflows
• Apply agile practices with sprints, code reviews, and Git integration
• Ensure data governance, information security and privacy compliance in projects
• Document data logic, lineage and operating procedures for audit readiness
• Explore Dataiku features like scenarios, APIs and model scoring to extend capabilities

Conocimientos

Dataiku DSS

SQL

Python

Data governance

Communication

Time management

Fluent English

Git

Herramientas

Git

Descripción del empleo

EPAM Systems is seeking a Senior Dataiku Specialist to design, develop and maintain scalable Dataiku DSS workflows, enabling self-service analytics and establishing a centralized Dataiku Competence Centre within a private banking technology setup in Madrid.

You will collaborate with data engineers and analysts, promote best practices, and deliver training while upholding data governance, security, and privacy.