Description

Role Overview:

Dataiku Engineer will collaborate closely with the team to review, challenge, and optimize pipeline design and implementation decisions.

Key Responsibilities:

• Lead architectural decisions and define best practices for scalable, maintainable data workflows in Dataiku.
• Provide strategic guidance on data wrangling, workflow orchestration, and platform integration within Dataiku.
• Ensure solutions align with enterprise data governance, security, and compliance standards.
• Act as a technical advisor to the Data Management team, contributing to solution design and delivery.
• Document architectural decisions and promote knowledge sharing across the team.

Qualifications:

• 5+ years in data architecture, engineering, or related roles.
• Proven experience as a Data Architect in enterprise environments, ideally in financial services.
• Strong proficiency in Dataiku (DSS), with experience designing production-grade data pipelines and workflows.
• Solid understanding of ETL/ELT, data modeling, and SQL.
• Hands-on expertise with the Azure data ecosystem (Data Factory, Synapse, Azure SQL, Data Lake, etc.).
• Strong knowledge of Python and SQL scripting; experience with API integrations.
• Ability to evaluate multiple implementation approaches and recommend optimal solutions.
• Exposure to data visualization and data engineering practices.
• Excellent communication skills, with the ability to mentor

Key Skills

Education

Any Graduate