Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Associate
& Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
Why PWC
At 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.
& Summary:
A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisationstokeep 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:
About the Role:
We are hiring sharp, hands-on Data Engineers to build scalable data solutions and drive performance across both traditional and cloud-based data platforms. If you love writing clean code, solving tough data problems, and designing robust data architectures, this role is for you.
What you will do:
Design and implement scalable data pipelines for batch and near real-time use cases in cloud environments
Write optimized, complex SQLqueries for data transformation and analysis in cloud data warehouses
Develop efficient Pythonand PySparkscripts for large-scale data processing and ETL workflows
Create and maintain data models in Databricks, ensuring data quality and consistency
Optimize queries and scripts over large-scale datasets (TBs) with a focus on performance and cost-efficiency
Implement data governance and security best practices in cloud environments
Collaborate across teams to translate business requirements into robust technical solutions
Mandatory skill sets:
‘Must have’ knowledge, skills and experiences
5+ years of hands-on experience in Data Engineering
Strong command over SQL, Python, and PySparkfor data manipulation and analysis
Deep experience with data warehousing concepts and implementation in cloud environments (AzureAWS)
Proficiency in data modeling techniques for cloud-based systems (Databricks, Snowflake)
Solid understanding of ETL/ELT processes and best practices in cloud architectures
Experience with dimensional modeling, star schemas, and data mart design
Strong analytical thinking and problem-solving skills
Preferred skill sets:
Familiarity with data lake architectures and delta lake concepts
Familiarity withSnowflakeDatabricksData Warehouse
Knowledge of data warehouse migration strategies to cloud
Experience with real-time data streaming technologies (e.g., Apache Kafka, Azure Event Hubs)
Exposure to data quality and data governance tools and methodologies
Understandingofdata virtualization and federated query engines
Understanding of performance optimization techniques for cloud-based data warehouses
Apache Airflow – Workflow orchestration and scheduling
Certifications in Azure orAWSor Databricks
Years of experience required:
5-8years
Education qualification:
BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master of Engineering, Master of Business Administration, Bachelor of Engineering, Bachelor of TechnologyDegrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Python (Programming Language)
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 Development, 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 {+ 27 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
May 18, 2026
At PwC, we help clients drive their companies to the leading edge. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help build, accelerate and sustain momentum. Find out more at www.pwc.com.
PwC: Audit and assurance, consulting and tax services
PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity. Content on this page has been prepared for general information only and is not intended to be relied upon as accounting, tax or professional advice. Please reach out to your advisors for specific advice.
