Client-Facing Data Engineer & AI Solutions Lead

Accenture; Greater London; On-site; GBP 50,000 - 75,000; Full time

Job summary

Accenture Palantir Business Group in London is seeking a technically versatile professional to own client problems from end to end.

You'll handle deep data engineering with PySpark and Python, build user-facing apps in TypeScript/React, and embed AI workflows into existing solutions for real client impact.

Based onsite with clients, you will translate complex technical language for stakeholders, participate in show-and-tell reviews, and contribute to internal products and learnings.

Qualifications

• Fluency in core languages and ability to pick up others quickly.
• Understanding of data engineering principles, ETL pipelines, and application development.
• Familiarity with Palantir Foundry, Gotham, or similar is preferred, though not mandatory if you are willing to learn.
• High emotional intelligence, curiosity, and a proactive self-starting nature.

Responsibilities

• Take significant ownership of client problems end to end.
• Handle deep data engineering, including PySpark and Palantir Foundry tooling.
• Build user-facing front-end applications and widgets in TypeScript/REACT.
• Translate complex technical language for non-technical stakeholders to drive client impact.
• Embed AI workflows into existing applications using Palantir-related tools.
• Contribute to Decho Labs by building internal products and feeding deployment learnings back into the company.
• Show-and-tell culture through teach-backs and tech reviews; uplift peers via internal channels.
• Iterate to deliver solutions based on real-time client feedback.

Skills

Python

SQL

TypeScript

REACT

Data engineering

ETL

Client communication

Tools

Palantir Foundry

Gotham

PySpark

React

Job description

Accenture Palantir Business Group in London is seeking a technically versatile professional to own client problems from end to end.

You'll handle deep data engineering with PySpark and Python, build user-facing apps in TypeScript/React, and embed AI workflows into existing solutions for real client impact.

Based onsite with clients, you will translate complex technical language for stakeholders, participate in show-and-tell reviews, and contribute to internal products and learnings.