Azure Full Stack Java Engineer

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Azure Full Stack Java Engineer, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Serve as a data engineer and analyst across multiple products, delivering new features, enhancements, and timely issue resolution. Partner with product stakeholders to refine requirements, translate needs into data solutions, and ensure high-quality outcomes. Collaborate closely with offshore teammates to coordinate delivery, maintain momentum on priorities, and meet agreed timelines.

Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management

Independently and collaboratively lead client engagement work streams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes

AI & Engineering leverages cutting‑edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission‑critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client’s unique requirements.

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

5+ years data engineering experience supporting custom enterprise applications (including at least some of: Bridge, IAR, Receipt Recon, LIFO).

5+ Years experience Strong SQL skills and hands‑on experience with ETL/ELT development, orchestration/scheduling, and data quality controls.

5+ Years Experience troubleshooting production data issues end‑to‑end (root cause analysis, remediation, and prevention via monitoring/runbooks).

5+ Years experience translating product/operations needs into data requirements and deliverables; strong stakeholder communication.

5+ Years Experience collaborating with offshore teams using standard agile delivery practices (backlog, sprint execution, handoffs).

Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience

Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

Analytical ability to manage multiple projects and prioritize tasks into manageable work products

Information for applicants with a need for accommodation:

Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.