IN_Manager_ AI Engineer_ Data Analytics_ Advisory

Job Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

Job Description & Summary

A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Responsibilities

• Cloud Storage, Cloud Pub/Sub, Cloud Composer (Apache Airflow), Dataform, GCS, and cloud functions.
• Implement data governance with Dataplex, security, and logging best practices to ensure compliance and data privacy.
• Experience with data modeling, data warehousing, and ETL/ELT processes.
• Build and optimize data warehouses and data lakes on BigQuery, Cloud Storage, and other GCP storage solutions.
• Implement data integration, ingestion, and transformation workflows to support analytics and machine learning initiatives.
• Collaborate with cross-functional teams to understand data requirements and deliver end-to-end data solutions.
• Proficiency in programming languages such as Python, PySpark and SQL.

Mandatory skill sets

• Storage, Data Catalog, Cloud Composer
• Data Engineering & Data Architecture
• Data Governance Frameworks: lineage, metadata management, data quality, security controls
• Programming: SQL, Python and/or Java

Preferred skill sets

• Experience building chatbots, copilots, or AI assistants.

Years of experience required

• 7-12

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