Data Engineer -Project Delivery Specialist - AI & Engineering

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data 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.

Work you'll do/Responsibilities

Analyze data and reporting requirements to derive technical designs (data models, ingestion patterns, transformation logic, and orchestration approach). Design, develop, test, debug, and document ETL/ELT pipelines using ADF, Python/SQL, and Snowflake to deliver reliable, high-quality datasets. Independently perform pipeline development, unit testing, and data validation (reconciliation, data quality checks, and performance tuning). Build and maintain streaming and near-real-time ingestion patterns using Kafka where required. Implement and manage version control and CI/CD using GitHub, including branching, code reviews, automated deployments, and release hygiene. Work as part of an Agile team comprising Product Owner, Tech Lead, Data Engineers, QA/Testing, and platform/cloud engineers, coordinating effectively with an offshore team

• 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 workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes

The Team

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.

Qualifications

Required

• 5+ Years Snowflake Experience
• 5+ Years of SQL Experience
• 5+ Years of Python Experience
• 5+ Years Azure Data Lake (ADLS), and Azure Data Factory (ADF) Experience
• 5+ Years GitHub for CI/CD experience
• 5+ Years of Kafka Experience
• Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
• Limited immigration sponsorship may be available
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

Preferred

• Analytical/ Decision Making Responsibilities
• Analytical ability to manage multiple projects and prioritize tasks into manageable work products
• Can operate independently or with minimum supervision
• Excellent Written and Communication Skills
• Ability to deliver technical demonstrations

Additional Requirements

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html