Live opening · Posted 17 hours ago
The key details from the original listing.
Live timing from JobBeeper.
Description supplied by the original job listing.
The Opportunity
Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.
As a Gen AI Data Engineer - Azure AI Foundry you will contribute to the design and delivery of data engineering solutions that support generative AI use cases, Azure-based platforms, and modern data pipelines within our Data Modernisation practice. As a Senior Associate you will analyze complex workstreams, manage assigned deliverables, guide junior team members, and build meaningful client connections while navigating changing priorities and translating business needs into technical solutions. In this role at PwC Acceleration Center Bangalore, you will develop and maintain data pipelines, support AI-enabled data products, apply engineering methods across Azure AI Foundry environments, and help deliver work that aligns with the broader goals of the Technology Consulting network and the Data, Analytics & AI competency network.
Responsibilities
Developing and managing data engineering workstreams for GenAI solutions on Azure AI Foundry
Building and optimizing data pipelines, data lakes, and data warehouses to support analytics and AI use cases
Integrating data from multiple sources by using Azure Data Factory, Databricks, and related cloud data services
Applying data modeling, transformation, and validation methods to support reliable downstream use of structured and unstructured data
Tuning data flows, query performance, and storage patterns to improve platform efficiency and scalability
Supporting data architecture decisions across ingestion, processing, governance, and delivery layers
Collaborating with client teams to translate business needs into technical data solutions and delivery plans
Reviewing work for quality, raising issues early, and guiding junior team members through technical tasks
Using Python, SQL, and cloud-based engineering tools to build reusable components and automation for data delivery
Contributing to solution design for secure, compliant, and maintainable AI and data platforms
What You Must Have
At least a Bachelor's degree
At least 4+ years of experience
Oral and written proficiency in English required
What Sets You Apart
Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
Demonstrating Azure AI Foundry or Databricks data engineering delivery
Applying Python, SQL, and data pipeline development skills
Building data models, warehouses, and transformation workflows
Navigating client discussions and interpreting business needs
Mentoring junior team members through assigned workstreams
Work arrangement
No
Recently tracked roles with full details and direct application links.