Permanent Data Engineering Lead | PwC Vacancies
Job Description
PwC Vacancies – Data Engineering Lead
Location: Johannesburg, Gauteng
Company: PwC
Job Type: Permanent
Job Sector: Information Technology
Data Engineering Lead
Management Level: Manager
Company: PwC
About Us
At PwC, our Data and Analytics Engineering team leverages advanced technologies to design and develop robust data solutions that transform raw data into actionable insights, driving informed decision-making and business growth. As a Data Engineering Lead, you will play a pivotal role in shaping our data infrastructure, implementing cutting-edge data pipelines, and leading a high-performing team to deliver impactful solutions.
Leadership & Culture
You will enhance your leadership by motivating, developing, and inspiring your team to deliver excellence. Your role includes coaching, leveraging strengths, and managing performance while fostering a culture of innovation. Leading with integrity and authenticity, you will articulate PwC’s purpose and values while embracing technology to drive efficiency and growth.
Our Africa Tech and Digital team thrives on innovation, curiosity, and collaboration. We champion self-starters who embrace change and leverage AI and diverse perspectives to create transformative solutions.
Key Responsibilities
Technical Data Strategy
- Align technology implementation with business strategy and data service requirements.
- Collaborate with internal teams to ensure adoption of innovative data solutions.
- Forecast and evaluate emerging technologies to enhance agility and business value.
Data Modeling & Standards
- Implement best-practice data modeling to ensure ethical and compliant data use.
- Develop technical standards for the Software Development Lifecycle (SDLC).
- Advise teams on best practices and regulatory alignment.
Solutions Design & Delivery
- Guide product design with technical expertise to meet business data needs.
- Define and oversee technical delivery plans for data-driven solutions.
- Ensure solutions align with strategic goals, business requirements, and standards.
Operational & Team Leadership
- Mentor and develop technical staff, fostering continuous growth.
- Support technical training programs and data communities.
- Drive automation and optimization of processes using AI and ML capabilities.
Continuous Improvement
- Enhance data quality processes with innovative approaches.
- Advocate for AI-powered solutions in Data Governance and Engineering.
Qualifications & Skills
Education & Certification
- Bachelor’s degree in Computer Science or equivalent work experience.
- Certifications in Microsoft Databricks (preferred).
Experience
- 8–10 years in cloud data engineering, preferably in complex environments.
Technical Expertise
- Cloud Data Services: Azure (Synapse, Purview), Databricks, MS Fabric.
- Data Engineering: Data warehousing, ETL, pipelines, SQL, Python, Alteryx.
- Governance & Compliance: Data security, encryption, privacy laws.
- AI/ML Integration: Experience in Databricks, Synapse AI/ML applications.
- DevOps & Automation: Terraform, API development (REST/SOAP), CI/CD.
Soft Skills
- Strong analytical, problem-solving, and stakeholder engagement skills.
- Exceptional communication and leadership across all levels.
- Ability to mentor teams and simplify technical concepts for broader audiences.
Why PwC?
At PwC, we build trust in society and solve critical problems through human-led, tech-powered solutions. Our values—professionalism, integrity, and innovation—guide our work. Join us to drive meaningful change while growing in a dynamic, purpose-driven culture.
Travel Requirement: Up to 20%
Work Visa Sponsorship: Not available
Job Posting End Date: August 22, 2025
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How to Apply
To apply for this position, click the “Apply Now” button or follow the specific instructions provided in the job description. Ensure that your CV and supporting documents are up to date and relevant to the position.
Please note: This job posting may be closed at any time by the employer, either due to internal recruitment policies, legal requirements, or once a suitable candidate has been found. We encourage you to apply as early as possible.
Only shortlisted candidates will be contacted.
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