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.
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Responsibilities
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.
Requirements
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.
Nice to have
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.
Benefits
Private health insurance.
EPAM Employees Stock Purchase Plan.
100% paid sick leave.
Referral Program.
Professional certification. xpzdshu
Language courses.
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