Company Description

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 (VALUABLE 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)

Qualifications

Degree in engineering, commerce or business; a finance qualification is an advantage

📌 Dataiku Engineer - DM (Dataiku DSS/Snowflake SQL/python/Alteryx) (Bengaluru)
🏢 Wns Global Services
📍 Bengaluru