Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

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 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. "

Responsibilities: 

 

Senior Data Engineer (Databricks | Insurance | Data Migration) 

Location: Mumbai (Preferred) / Bangalore 
Experience: 7–12 years 
Start: Immediate Joiner Preferred 

 

Role Overview 

We are looking for a highly skilled Senior Manager / Manager /Senior Data Engineer with deep expertise in Databricks data management, logical & physical data modelling, and insurance domain data workflows. The candidate will work on a strategic data migration initiative for a leading UK-based insurance company, moving data from Guidewire into Databricks Silver and Gold layers with strong governance, lineage, and scalability standards. 

 

Key Responsibilities 

Databricks Data Engineering & Management 

Design, build, and optimize Silver and Gold layer data pipelines in Databricks using PySpark, SQL, Delta Lake, and Workflow orchestration. 

Implement data quality, lineage, schema evolution, and governance controls across curated layers. 

Optimize Databricks jobs for performance, scalability, and cost efficiency. 

Guidewire → Databricks Migration 

Lead the end-to-end migration of large-scale insurance data from Guidewire PolicyCenter/ClaimCenter/BillingCenter into Databricks. 

Map and transform complex Guidewire entity structures into normalized and star-schema models. 

Data Modelling & Architecture 

Develop robust logical and physical data models aligned to insurance business processes. 

Build high-quality curated data marts (Gold) for analytics, reporting, pricing, underwriting, and claims. 

Define standards for metadata, naming conventions, partitioning, and model documentation. 

Insurance Domain Expertise 

Understand core insurance data entities such as policy, claims, billing, customer, underwriting, rating, and product hierarchies. 

Apply domain knowledge to rationalize Guidewire data structures and create business-ready datasets. 

Solutioning & Ideation 

Collaborate with client SMEs, architects, and business analysts to shape data solutions and propose design improvements. 

Ability to ** ideate, simplify complex data flows**, and contribute to overall solution architecture. 

 

 

 

 

Required Skills & Experience 

Technical 

7–12 years of experience in data engineering, data modelling, and data management. 

Strong hands-on experience in Databricks, Delta Lake, PySpark, Spark SQL, and ETL/ELT pipelines. 

Expertise in logical & physical data modelling (3NF, Star Schema, Data Vault preferred). 

Practical knowledge of Guidewire data model and prior migration experience (mandatory). 

Experience working with large-scale insurance datasets 

Strong understanding of data quality frameworks, lineage, cataloging, and governance. 

Soft Skills 

Strong problem-solving and conceptualization / ideation capability. 

Excellent communication and stakeholder-management for UK client environment. 

Ability to work in fast-paced delivery tracks with cross-functional global teams. 

 

Preferred Qualifications 

Certifications in Databricks, Azure/AWS, and Data Migration  are added advantages. 

Experience delivering enterprise-grade data lakes or lakehouse architectures. 

 

Why Join This Role? 

Work on a flagship insurance data modernisation project for a top UK carrier. 

Opportunity to shape enterprise-scale data models on the Databricks Lakehouse. 

High-visibility role with strong career growth in insurance data engineering. 

 

Mandatory skill sets: 

 

Data Engineer/Insurance/Databricks  

Preferred skill sets: 

 

Data Engineer/Insurance/Databricks  

Years of experience required: 

 

7—10 Years  

Education qualification: 

 

B.E.(B.Tech)/M.E/M.Tech 

 

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

Degrees/Field of Study required: Master of Engineering, 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, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy {+ 29 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