AWS Data Engineer – Senior Consultant

myDeloitte; Midrand; On-site; ZAR 500,000 - 700,000; Full time

Job summary

A leading global consulting firm is looking for an AWS Data Engineer to join their AI and Data practice. The ideal candidate will support analytics and AI use cases through modern data platforms and collaborate with technical teams. Applicants should have at least 3 years of experience with Big Data frameworks and AWS technologies. This role offers opportunities to work in a diverse and inclusive environment.

Qualifications

• 3+ years in innovative data solutions leveraging Big Data frameworks.
• 3+ years in transforming and loading data from various sources.
• Experience with data warehousing or data lakes.
• Ability to communicate complex concepts clearly.

Responsibilities

• Support end-to-end modern data platforms for analytics.
• Collaborate with technical teams to define data structures.
• Participate in client meetings and advise on options.
• Mentor junior colleagues and maintain communication.

Skills

Data ingestion/data pipeline frameworks

SQL

AWS technologies

Analytical thinking

Communication skills

Problem-solving

Education

Bachelor’s Degree in Computer Science, Information Management, or related

Tools

AWS Glue

AWS DMS

Azure

GCP

Snowflake

Job description

At Deloitte, our Purpose is to make an impact that matters for our clients, our people, and society. This is the lens through 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 put 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 includes Strategy, Risk & Transactions Advisory (SR&T), and Technology & Transformation (T&T).

Job Description

We are seeking an AWS Data Engineer to join our AI and Data practice. The ideal candidate is passionate about data and technology solutions, with strong problem-solving and analytical skills, and is tech-savvy with a solid understanding of software development. You should be driven to learn more, keep up with market evolution and industry trends.

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

Technical Requirements for the role:

• Support AI & Data teams and implement end-to-end modern data platforms supporting analytics and AI use cases.
• Collaborate with enterprise architects, data architects, ETL developers & engineers, data scientists, and information designers to identify and define data structures, formats, pipelines, metadata, and workload orchestration capabilities.
• Address data privacy & security, data ingestion & processing, data storage & compute, analytical & operational consumption, data modeling, data virtualization, self-service data preparation & analytics, AI enablement, and API integrations.
• Estimate effort and mentor junior colleagues.
• Participate in technical meetings with clients and advise on technical options based on leading practices.
• Work as a data engineer on AWS and other technologies.
• Apply deep technology knowledge to drive continuous improvement.
• Maintain good communication skills, both written and verbal.
• Build interpersonal relationships and foster collaboration.
• Focus on client delivery and quality.
• Be adaptable, problem-solver, and analytical thinker.

Qualifications

Bachelor’s Degree (or higher) in fields like Computer Science, Information Management, Big Data & Analytics, or related areas is preferred.

Having one or more AWS certifications is preferred, but experience with cloud platform solutions is mandatory, such as:

• AWS Solutions Architect – Associate/Professional

Experience required:

At least 3 years in implementing innovative data solutions leveraging Big Data frameworks, supporting on-premise or AWS cloud environments for analytics and AI use cases.

At least 3 years in extracting, transforming, and loading data from various sources including structured, unstructured, and semi-structured data using SQL, NoSQL, and data pipelines for real-time, streaming, batch, and on-demand workloads.

Experience with data warehousing or data lakes.

Ability to communicate complex technical concepts clearly to non-technical stakeholders and work within Agile development environments.

Must demonstrate experience in services and technologies like:

• Database development: Views, functions, stored procedures, query optimization, indexes, OLAP / MDX
• Cloud platforms: AWS (preferred), Azure, GCP, Snowflake
• ETL tools: AWS Glue, Athena, SSIS, IBM DataStage / SAP Data Services, AWS DMS, AppFlow
• Data acquisition: pipeline creation, automation, data delivery, CDC, streaming
• Designing structured problem-solving approaches, data models, and architecture standards.

Additional Information

At Deloitte, we foster an inclusive environment where everyone can be themselves and thrive. We are committed to fairness and respect, including reasonable accommodations for persons with disabilities. We leverage our diverse workforce to build a more inclusive environment across Africa.

Note: The list of tasks and responsibilities is not exhaustive. Deloitte may assign additional duties as required by operational needs.

Beware of Recruitment Scams: Fraudulent schemes may pose as legitimate recruiters. Be cautious of requests for upfront payments, personal information, or unprofessional communication. Contact Deloitte directly through official channels for verification.