Job Description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

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 organisationsin order tokeep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine toleveragedata, understand and navigate risk, and help our clients gain a competitive edge. 

Responsibilities: 

We areseekingskilled and motivated Data Engineers to join our dynamic team. This is a hybrid role, providing flexibility to work both remotely and on-site. The ideal candidate will have 3 to 5 years of hands-on experience in data engineering, withproficiencyin Snowflake and relevant certifications to enhance their expertise.

This position requires immediate joiners who are currently serving notice periods and can start within 2-3 weeks. Join us to work on exciting projects where your contributions make a tangible impact.

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## Key Responsibilities
- Develop,optimize, andmaintaindata pipelines and architectures for efficient data processing.
-UtilizeSnowflakeexpertiseto designscalable and robust data solutions.
- Collaborate with cross-functional teams to understand data requirements and ensure seamless integration.
- Troubleshoot and resolve data-related issues to ensure data quality and integrity.
- Document technical solutions and processes for knowledge sharing and futurereference

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## Experience & Qualifications
- **Experience:** 3-5 years in Data Engineering or related field.
- **Certifications:** Data Engineer Certification is highly preferred.
- **Skills:** Strongexpertisein Snowflake and data pipeline development.
- **Education:** Open to relevant qualifications; preference forcandidates with a strong academic background in Computer Science, Data Science, or related fields

Mandatory skill sets: 

Snowflake

Preferred skill sets: 

SQL, Datawarehouse

Years of experiencerequired 

2 to 5 Years

Education qualification: 

Bachelor’s orMaster’s degree in Computer Science, Electrical Engineering, or related field

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Technology, MBA (Master of Business Administration)Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Guidewires

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, 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, Data Quality, Data Strategy {+ 22 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

March 25, 2026