Senior Dataiku Specialist

• Proven experience building and managing projects in Dataiku DSS, including data preparation and workflow automation
• Strong SQL skills, including writing complex queries and performance optimization
• Proficiency in Python for data manipulation and automation within Dataiku
• Familiarity with relational databases, cloud storage (AWS S3, Azure Blob) and common data formats (CSV, JSON, Parquet)
• Basic understanding of IT service management and agile methodologies
• Experience with version control using Git and its integration with Dataiku projects
• Knowledge of data governance principles and ETL processes in enterprise environments
• Strong communication skills for explaining technical topics to non-technical audiences
• Highly organized with the ability to manage multiple tasks in a deadline-driven environment
• Fluent in English, both written and spoken

• Dataiku certifications (Data Scientist or Data Engineer track)
• Experience with Dataiku APIs, scripting (PowerShell, Bash, JavaScript)
• Familiarity with BI tools such as Tableau, Power BI or Alteryx
• Background in financial services or private banking

We're looking for a Senior Dataiku Specialist to join our team to support the growth of our client's data capabilities by designing, developing and maintaining scalable workflows in Dataiku DSS. You will play a crucial role in platform adoption, enabling self-service analytics and contributing to the creation of a centralized Dataiku Competence Centre. This position offers an opportunity to combine technical expertise with a collaborative, client-focused approach, promoting best practices and empowering users across the organization.

This is a hybrid role based in Madrid, ideal for those eager to thrive in a dynamic environment and make a significant impact in private banking technology. Join EPAM and contribute to shaping the future of financial services in Spain!

• Design, develop, test and maintain robust data workflows in Dataiku, including ingestion, cleaning, transformation and automation
• Translate business and technical requirements into efficient, documented and reusable data pipelines using SQL and Python
• Provide user support for Dataiku projects, resolving technical issues and advising on best practices
• Contribute to the establishment of a Dataiku Competence Centre by promoting standards and reusable assets
• Develop and deliver training materials, workshops and demos to enable users of varying proficiency levels
• Collaborate with data engineers, analysts and IT teams to integrate Dataiku into batch and automated workflows
• Apply agile development practices, including sprints, code reviews and Git version control integration
• Ensure compliance with data governance, information security and privacy standards in all project activities
• Document data logic, lineage and operating procedures for sustainability and audit readiness
• Explore advanced Dataiku features such as scenarios, APIs and model scoring to extend platform capabilities