Line of Service
Advisory

Industry/Sector
Not Applicable

Specialism
Data, Analytics & AI

Management Level
Senior Associate

Job Description & 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.

*Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm's growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

Job Description & Summary: A career within….

Responsibilities:

- Hands on Experience in Azure Data Components like ADF / Databricks / Azure SQL
- Good Programming Logic Sense in SQL
- Good PySpark knowledge for Azure Data Bricks
- Data Lake and Data Warehouse Concept Understanding
- Unit and Integration testing understanding
- Good communication skill to express thoghts and interact with business users
- Understanding of Data Security and Data Compliance
- Agile Model Understanding
- Project Documentation Understanding
- Certification (Good to have)
- Domain Knowledge

Mandatory skill sets:

Databricks/Pyspark, azure data factory azure datalake, ADS

Preferred skill sets:

Databricks/Pyspark, azure data factory azure datalake, ADS

Years of experience required:

2 to 10 years

Education qualification:

Graduate Engineer or Management Graduate

Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills
Data Engineering

Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline + 28 more

Desired Languages (If blank, desired languages not specified)

Travel Requirements
Not Specified

Available for Work Visa Sponsorship
No

Government Clearance Required
No

Job Posting End Date
April 1, 2026

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