Dataiku Engineer - DM (Dataiku DSS/Snowflake SQL/python/Alteryx)
Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Nov 11, 2026. WNS scores A on the Alion truth index.
WNS, part of Capgemini, is an Agentic AI-powered leader in intelligent operations and transformation, serving more than 700 clients across 10 industries, including Banking and Financial Services, Healthcare, Insurance, Shipping and Logistics, and Travel and Hospitality. We bring together deep domain excellence - WNS’ core differentiator - with AI-powered platforms and analytics to help businesses innovate, scale, adapt and build resilience in a world defined by disruption.
Our purpose is clear: to enable lasting business value by designing intelligent, human-led solutions that deliver sustainable outcomes and a differentiated impact. With three global headquarters across four continents, operations in 13 countries, 65 delivery centers and more than 66,000 employees, WNS combines scale, expertise and execution to create meaningful, measurable impact.
Why Join Us?
We promise our employees to experience role clarity, coaching and mentoring, professional development and structured career path through our 5 people promises and keeping employee experience at the core. Experience the culture of Outperformance, engagement, celebration and enjoy wide variety of best in class benefits including free HMO coverage for self and dependent from Day 1; Also contribute to society through our WNS Cares Foundation, where you have the opportunity to support meaningful initiatives and make an impact in the community.
Senior Dataiku Engineer
We are looking for a Senior Dataiku Engineer with 5 to 8 years of experience to lead the build of Dataiku workflows that replace Alteryx and other end-user computing tools on an enterprise finance data platform on Azure, Databricks and Snowflake. You will design and build analyst workflows on Snowflake, guide a small team of Dataiku engineers, and move stable workflows into engineered Databricks pipelines.
KEY RESPONSIBILITIES
Lead a small team of Dataiku engineers
Analyse existing Alteryx workflows and plan their rebuild in Dataiku
Build Dataiku flows that read certified Snowflake data and write to the analyst workspace
Set Dataiku project standards, including naming, flow design, code recipes and documentation
Set up scenarios, schedules and checks for Dataiku flows
Publish controlled outputs to Snowflake for use in Power BI
Identify stable, recurring flows and hand them to data engineering for rebuild in Databricks
Manage Dataiku connections, permissions and project deployment with the platform team
Train finance analysts to use Dataiku
TECHNICAL SKILLS
Must-have
Dataiku DSS, including visual and code recipes, scenarios and automation
Snowflake SQL
Python
Alteryx
Leading small teams
Good-to-have
Databricks and PySpark
Power BI
Dataiku administration
Azure DevOps
DOMAIN KNOWLEDGE
Finance processes, including reconciliations, recharges, tax workings and FP&A
EUC risk and control expectations in banking
CERTIFICATIONS (GOOD TO HAVE)
Dataiku Advanced Designer
Dataiku Developer
EXPERIENCE AND QUALIFICATIONS
5 to 8 years in data engineering or analytics, with at least 3 years on Dataiku
Migrated Alteryx or other EUC workflows to a governed platform
Experience in banking or financial services
Degree in engineering or computer applications (B.E., B.Tech or MCA)
Degree in engineering, commerce or business; a finance qualification is an advantage