Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
Senior AssociateJob 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
1
Java (8 / 11 / 17+)
4+ years
Must-have
2
Spring Boot / Spring Cloud / Spring Security
3+ years
Must-have
3
Microservices Architecture
3+ years
Must-have
4
Apache Kafka
2+ years
Must-have
5
React or Angular
2+ years
Must-have
6
REST APIs
3+ years
Must-have
7
SQL Databases (PostgreSQL / Oracle / SQL Server)
3+ years
Must-have
8
Azure (AKS / App Service / DevOps)
2+ years
Preferred
9
Docker
2+ years
Must-have
10
CI/CD & Automated Testing (JUnit, Mockito)
2+ years
Must-have
11
gRPC
1+ years
Nice-to-have
12
Neo4J / Graph Databases
1+ years
Nice-to-have
13
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 DevelopmentOptional 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 {+ 28 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date
September 11, 2026
