AWS Data Engineer - Consultant

Company Description

At Deloitte, our Purpose is to make an impact that matters for our clients, our people, and society. This is the lens for which our global strategy is set. It unites Deloitte professionals across geographies, businesses, and skills. It makes us better at what we do and how we do it. It enables us to deliver on our promises to stakeholders, while creating the lasting impact we seek.

Harnessing the talent of 450,000+ people located across more than 150 countries and territories, our size and scale puts us in a unique position to help change the world for the better—by bringing together the services we provide, the societal investments we make, and the collaborations we advance through our ecosystems.

Deloitte offers career opportunities across Audit & Assurance (A&A), Tax & Legal (T&L) and our Consulting services business, which is made up of Strategy, Risk & Transactions Advisory (SR&T) and Technology & Transformation (T&T).

Engineering AI and Data

Engineering AI and Data forms part of our Consulting Services business. We require a Consultant with proven consulting expertise developing and recommending appropriate system solutions for clients, with a primary focus on the SAP solution suite of applications. The applicant will support relevant service area leadership with market development initiatives through driving and implementation of strategy, revenue generation and business growth, whilst supporting project teams at clients with work assignments.

Job Description

We are looking for an AWS Data Engineer to join our Engineering, AI and Data practice, who is passionate about data and technology solutions, with strong problem‑solving and analytical skills, tech savvy with a solid understanding of software development, driven to learn more, keeps up with market evolution and industry trends.

You will have the opportunity to work throughout the entire engagement cycle, specializing in modern data solutions including data ingestion/data pipeline frameworks, data warehouse & data lake architectures, cognitive computing and cloud services.

Technical Requirements for the role

• Support AWS team and implement end-to-end modern data platforms in support of analytics and AI use cases

• Collaborate with enterprise architects, data architects, other ETL developers & engineers, data scientists and information designers to lead identification and definition of required data structures, formats, pipelines, metadata, and workload orchestration capabilities

• Address aspects such as data privacy & security, data ingestion & processing, data storage & compute, analytical & operational consumption, data modelling, data virtualization, self‑service data preparation & analytics, AI enablement, and API integrations