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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 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 Engineering Degrees/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, 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 10, 2026
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.
