Management Level
Senior AssociateJob 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.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 isn’t 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:
Job Overview:
As a Data Engineer at Senior Associate 2 level within the Data Enablement Competency, you will build and maintain reliable data pipelines and contribute to DataOps practices 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, and maintain data ingestion, transformation, and loading pipelines 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/DataOps practices: Git-based version control, CI/CD pipelines, environment management, and Infrastructure as code (IaC).
• Participate in Agile delivery: refine requirements, estimate work, deliver user stories, and provide regular progress updates.
• Monitor, troubleshoot, and optimise data pipelines for performance, cost, and scalability; support SLAs and participate in on-call/rotation as needed.
• Work with data architects and platform engineers to align implementations with solution designs, standards, and best practices.
• Create and maintain technical documentation, runbooks, and deployment guides; present demos and knowledge shares.
• Participate in code reviews and uphold coding, security, and governance standards (including handling of sensitive/PII data).
• Assist with releases and change management across environments (dev/test/prod).
• Provide guidance to Associates/Interns on tooling, coding standards, and development practices.
Qualifications:
• Bachelor’s degree or Diploma in Computer Science, Information Systems, Engineering, or related field; relevant certifications advantageous (e.g., Azure Data Engineer, AWS Data Analytics, Databricks, Snowflake, Terraform).
• 2+ years of hands-on experience delivering production-grade data engineering solutions.
• Proficiency in 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 Hubs, dbt
• Familiarity with CI/CD and version control (e.g., Azure DevOps, GitHub/GitLab, Jenkins) and IaC (Terraform, CloudFormation, etc..).
• Experience implementing data quality and testing frameworks (e.g., pytest, Great Expectations, Deequ) 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) is advantageous.
Travel Requirements
Up to 20%Available for Work Visa Sponsorship?
NoJob Posting End Date
March 21, 2026