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 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. "

Job Description and Summary

Hands-on Java Full Stack Engineer to build and modernize enterprise microservices with React or Angular frontends on Azure. You will contribute to Java 17/21 modernization, Kafka-based event-driven systems and vulnerability remediation across mission-critical platforms.

Technical Expectations

Skill / Technology

Min. Experience

Priority

Java (8 / 11 / 17+)

4+ years

Must-have

Spring Boot / Spring Cloud / Spring Security

3+ years

Must-have

Microservices Architecture

3+ years

Must-have

Apache Kafka

2+ years

Must-have

React or Angular

2+ years

Must-have

REST APIs

3+ years

Must-have

SQL Databases (PostgreSQL / Oracle / SQL Server)

3+ years

Must-have

Azure (AKS / App Service / DevOps)

2+ years

Preferred

Docker

2+ years

Must-have

CI/CD & Automated Testing (JUnit, Mockito)

2+ years

Must-have

gRPC

1+ years

Nice-to-have

Neo4J / Graph Databases

1+ years

Nice-to-have

AWS

1+ years

Optional

Responsibilities

Build Java microservices using Spring Boot, Spring Cloud, Spring Security, Spring Data JPA.

Contribute to microservice re-design and Java 17/21 migration.

Develop frontends in React or Angular, integrated with backend APIs.

Implement event-driven flows with Apache Kafka (producers, consumers, DLQs).

Design REST APIs with OpenAPI documentation.

Containerize with Docker and deploy on AKS or Azure App Service.

Drive vulnerability remediation and secure coding (OWASP Top 10).

Build CI/CD pipelines in Azure DevOps / GitHub Actions / Jenkins.

Write JUnit, Mockito, and integration tests; frontend tests with Jest/Cypress.

Required Skills & Qualifications

4–7 years software engineering experience with strong Java focus.

Strong Java 11+ with knowledge of Java 17/21.

Hands-on Spring Boot, Spring Cloud, Spring Security, Spring Data JPA.

Production microservices experience.

Kafka for event-driven systems.

React or Angular frontend skills.

Azure deployment experience and Docker proficiency.

Bachelor's degree in CS/Engineering or equivalent.

Preferred / Nice-to-Have Skills

gRPC for service communication.

Neo4J or graph databases.

AWS as secondary cloud.

Kubernetes, Helm, service mesh.

DevSecOps, regulated industries.

Redis, Elasticsearch, API gateways.

AI-Enhanced Development Expectations

Daily use of GitHub Copilot, Claude Code, or equivalent.

Strong prompt engineering for code, refactoring, and tests.

Ability to review AI-generated code for correctness and security.

Use of AI for dependency upgrades, CVE analysis, Java 17/21 migration.

Mandatory Skill Sets:

Java Full Stack ( Java + React )

Preferred Skill Sets:

Java Full Stack ( Java + React )

Years of Experience required:

4-8 years

Education Qualification:

BTECH/MBA/MTECH/MCA

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

Degrees/Field of Study required: Bachelor of EngineeringDegrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Java Software Development

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, AI Fluency, AI-Human Collaboration, 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 {+ 31 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

September 10, 2026

PricewaterhouseCoopers (PwC)

Senior Associate Java Full Stack Engineer

About the Job

Requirements

Responsibilities

Desired Qualifications

About the Company

PricewaterhouseCoopers (PwC)

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