Data Engineer

Johannesburg - South Africa

Monthly Salary: Not Disclosed

Posted on: 22 hours ago

Vacancies: 1 Vacancy

Job Summary

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.

Focused on relationships you are building meaningful client connections and learning how to manage and inspire others. Navigating increasingly complex situations you are growing your personal brand deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients and to deliver quality. Embracing increased ambiguity you are comfortable when the path forward isnt clear you ask questions and you use these moments as opportunities to grow.

Examples of the skills knowledge and experiences you need to lead and deliver value at this level include but are not limited to:

Respond effectively to the diverse perspectives needs and feelings of others.
Use a broad range of tools methodologies and techniques to generate new ideas and solve problems.
Use critical thinking to break down complex concepts.
Understand the broader objectives of your project or role and how your work fits into the overall strategy.
Develop a deeper understanding of the business context and how it is changing.
Use reflection to develop self awareness enhance strengths and address development areas.
Interpret data to inform insights and recommendations.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firms code of conduct and independence requirements.

Job Overview:

As a Data Engineer at Senior Associate 2 level within the Data Enablement Competency you will build andmaintainreliable data pipelines and contribute toDataOpspractices that support high-quality scalable data solutions. You will be hands-on in developing ingestion transformation and orchestration components; implementing testing and deployment processes; and supporting operational stability. You will collaborate closely with managers architects and analysts mentor junior team members and contribute to Agile delivery across sprints.

Key Responsibilities:

Design develop andmaintaindata ingestion transformation andloadingpipelines across cloud (AWS/Azure) and hybrid environments.

Implement data quality checks and automated tests (unit integration and data validation) to ensure reliability and accuracy.

Contribute to DevOps/DataOpspractices: Git-based version control CI/CD pipelines environment management andInfrastructure ascode (IaC).

Participatein Agile delivery: refine requirements estimate work deliver user stories and provide regular progress updates.

Monitor troubleshoot andoptimisedata pipelines for performance cost and scalability; support SLAs andparticipateinon-call/rotation as needed.

Work with data architects and platform engineers to align implementations with solution designs standards and best practices.

Create andmaintaintechnical documentation runbooks and deploymentguides;present demos and knowledge shares.

Participatein code reviews and uphold coding security and governance standards (includinghandling ofsensitive/PII data).

Assistwith releases and change management across environments (dev/test/prod).

Provide guidance to Associates/Interns on tooling coding standards and development practices.

Qualifications:

Bachelors degree or Diploma in Computer Science Information Systems Engineering or related field; relevant certificationsadvantageous(e.g. Azure Data Engineer AWS Data Analytics Databricks Snowflake Terraform).

2 years of hands-on experience delivering production-grade data engineering solutions.

Proficiencyin SQL and Python; solid understanding of ETL/ELT patterns and data warehousing concepts (e.g. star/snowflake schemas).

Experience with one or more data platforms/tools such as:

Azure: Data Factory Synapse Databricks

AWS: Glue EMR Redshift Lambda

Other: Spark Snowflake Airflow Kafka/Event Hubsdbt

Familiarity with CI/CD and version control (e.g. Azure DevOps GitHub/GitLab Jenkins) andIaC(Terraform CloudFormationetc..).

Experience implementing data quality and testing frameworks (e.g.pytest Great ExpectationsDeequ) and using logging/monitoring tools (e.g. CloudWatch Azure Monitor).

Working knowledge of Agile methodologies and delivery within sprints.

Strong problem-solving collaboration and communication skills; attention to detail; ability to manage multiple tasks.

Awareness of data governance security and privacy best practices (RBAC encryption POPIA/GDPR) isadvantageous.

Travel Requirements

Up to 20%

Available for Work Visa Sponsorship

Job Posting End Date

March 21 2026

Required Experience:

Management LevelSenior AssociateJob Description & SummaryAt 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 en...

Management Level

Senior Associate

Job Description & Summary

Examples of the skills knowledge and experiences you need to lead and deliver value at this level include but are not limited to:

Respond effectively to the diverse perspectives needs and feelings of others.
Use a broad range of tools methodologies and techniques to generate new ideas and solve problems.
Use critical thinking to break down complex concepts.
Understand the broader objectives of your project or role and how your work fits into the overall strategy.
Develop a deeper understanding of the business context and how it is changing.
Use reflection to develop self awareness enhance strengths and address development areas.
Interpret data to inform insights and recommendations.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firms code of conduct and independence requirements.