To apply for any of these positions, click on the application link at the end of each job description. We wish you all the best with your applications.

Senior Data Engineer (Pretoria)

Reference Number: E100001

Job Grade: P6

Location: Pretoria

Job Type: 5-year fixed-term contract

Job Purpose: The main goal of this role is to lead the design, building, and improvement of the Companies and Intellectual Property Commission’s (CIPC) data systems. This position plays a key part in creating strong, scalable data pipelines that work well, promoting best practices in data engineering, and providing reliable data solutions. These solutions will help data scientists and analysts gain important insights for the business.

Key Performance Areas:

1. Data Pipeline and System Development

Pipeline Design and Implementation: Lead the design, building, and upkeep of scalable and secure data pipelines (for batch and real-time processing) and databases. These should handle complex, large volumes of structured and unstructured data.
ETL/ELT Development: Create and improve ETL (Extract, Transform, Load) processes to turn raw data into high-quality formats that are easy to use for analysis.
Infrastructure Optimization: Manage and enhance data warehousing solutions, such as Databricks, Snowflake, Redshift, BigQuery, or Synapse. Set up and maintain data storage using SQL and NoSQL databases.
Automation: Automate data tasks with tools like Apache Airflow. Improve deployment and scheduling to make processes more efficient and reduce manual work.

2. Data Quality, Performance, and Compliance

Performance Monitoring: Track how well data pipelines perform, fix problems quickly, and optimize systems to manage growing data volumes with minimal delay.
Quality and Standards: Set and apply standards for data quality, security, documentation, and compliance in all data systems and processes.
Architecture Contribution: Make sure data pipelines and databases are optimized for performance, security, availability, and scalability. Play an active role in decisions about overall data architecture.

3. Collaboration, Mentorship, and Strategy

Stakeholder Collaboration: Work closely with data scientists, analysts, and business teams to understand their data needs. Ensure data is accessible and provide solutions that fit their analysis requirements.
Technical Leadership: Act as a technical leader, coach, and mentor to junior data engineers and other related teams.
Project Leadership: Lead full data engineering projects from start to finish, including gathering requirements, planning technical deliverables, checking output quality, and managing stakeholders.
Strategy Contribution: Provide technical input to develop and update CIPC’s data strategy.

Minimum Functional Requirements (Technical Skills and Knowledge):

Core Programming: Strong expertise in languages like Python, Java, or Scala.
SQL Mastery: Advanced skills in SQL and experience optimizing databases for large amounts of data.
Big Data and Distributed Systems: Hands-on experience with big data tools like Apache Spark, Hadoop, or Flink.
Cloud Data Platforms: Good knowledge of cloud data services from AWS, Azure, and GCP.
ETL/Orchestration Tools: Experience with ETL and orchestration tools like Apache Kafka, Apache Airflow, and Apache Spark.
Architecture Design: Experience designing data systems for large-scale processing and machine learning.
Soft Skills: Excellent problem-solving, critical thinking, interpersonal skills, and ability to work with diverse teams.
Mentorship: Proven experience guiding junior data engineers.

Required Minimum Education/Training:

Formal Education Pathway (Preferred):

Education: Bachelor’s Degree or Advanced Diploma in Computer Science, Engineering, or a related field. Advanced degrees are a plus.
Added Advantage Certifications: One or more of these: Databricks Certified Data Engineer (Professional or Associate), Confluent Certified Developer for Apache Kafka, Certified Kubernetes Administrator (CKA), Google Cloud Certified Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate, AWS Certified Data Analytics – Specialty, or Certified Data Management Professional (CDMP) at Practitioner or Professional level.

Required Minimum Experience: At least 5 years (preferably 8+ years) as a Data Engineer or similar role, with success in building scalable data solutions.

Specialized Certification and Experience Pathway (Alternative):

Education: Senior Certificate (NQF 4) plus relevant technical certifications.
Mandatory Certifications: At least two advanced certifications: one specialized tool (e.g., Databricks Certified Data Engineer, Confluent Certified Developer for Apache Kafka, or CKA/CKAD) and one cloud platform (e.g., Google Cloud Professional Data Engineer, Azure Data Engineer Associate, or AWS Data Analytics – Specialty). Plus one more from the list.

Required Minimum Experience: At least 10+ years as a Data Engineer or similar role, with success in scalable data solutions.

Applicants may face competency assessments. Successful candidates must go through security clearance. Qualifications and South African citizenship will be checked. Foreign qualifications need evaluation by SAQA. Be available for interviews as scheduled by CIPC. CIPC is an equal opportunity employer with preference for equity plan candidates. Only shortlisted applicants get feedback. CIPC may not fill the position.

For more details, visit CIPC Careers or www.cipc.co.za.

Note: Faxed, emailed, posted, or hand-delivered applications will not be accepted.

If you have trouble applying, call CIPC Recruitment at 087 743 7074, 7075, 7197, or 087 260 1554.

Closing Date: October 31, 2025

Click here to apply

Senior Data Architect (Pretoria)

Reference Number: D130001

Job Grade: P4

Location: Pretoria

Job Type: 5-year fixed-term contract

Job Purpose: This role leads and sets up a full Data Governance Program and builds a strong, future-ready Data Architecture across multiple cloud platforms. It is key to improving CIPC’s data handling, boosting data quality, simplifying analytics, and creating a central data hub with a Data Marketplace. This will promote a data-focused culture and support advanced analytics organization-wide.

Key Performance Areas:

Data Architecture Strategy and Design:
- Architectural Blueprint: Design and maintain conceptual, logical, and physical data models, dictionaries, and data flow diagrams for the whole organization.
- Strategic Alignment: Create long-term plans for data warehousing, mining, and integration that match CIPC’s business goals and tech roadmap.
- Tool Evaluation and Selection: Assess, suggest, and choose data management tools and platforms for best performance, growth, and cost savings.
Data Lakehouse Architecture:
- Cloud Architecture: Design and build a secure, scalable Data Lakehouse using multi-cloud platforms like Azure Databricks, AWS Redshift, Google BigQuery, and storage services.
- Data Pipeline Development: Set up complete data intake (batch and streaming) and ELT/ETL pipelines from various sources into the Data Lakehouse.
- Analytics Enablement: Create optimized solutions for data transformation, processing, and storage to support analytics, reporting, and data science.
Data Governance and Management:
- Governance Frameworks: Define frameworks for data intake, lake, warehouse, sharing, analytics, and quality.
- Data Marketplace and Sharing: Build a Data Marketplace for safe data sharing and teamwork among internal groups.
- Quality and Observability: Set up monitoring, validation, and improvement for data quality. Develop tools to track data health, use, lineage, and compliance.
- Metadata Management: Use Data Catalog tools for discovery, metadata, and lineage tracking.
Collaboration, Guidance, and Compliance:
- Stakeholder Engagement: Work with IT, business, and security teams to set data priorities, SLAs, policies, and procedures.
- Mentorship and Support: Guide Data Analysts, Engineers, and Scientists in using data responsibly.
- Regulatory Compliance: Ensure all data systems follow laws, standards, and security rules.

For more details, visit CIPC Careers or www.cipc.co.za.

Note: Faxed, emailed, posted, or hand-delivered applications will not be accepted.

If you have trouble applying, call CIPC Recruitment at 087 743 7074, 7075, 7197, or 087 260 1554.

Closing Date: October 31, 2025

Requirements

Required Minimum Education/Training:

Formal Education Pathway (Preferred):

Education: Bachelor’s Degree or Advanced Diploma in Computer Science, Computer Engineering, Data Analytics, Data Engineering, Statistics/Mathematical Science/Economic Sciences, or a related quantitative field.
Required Minimum Experience: 10–15 years as a Data Architect, Solutions Architect, or similar senior role, focusing on cloud-native data architecture and governance.
Cloud Platforms: Deep knowledge of Azure, AWS, and Google Cloud services for data management and analytics.
Technical Skills: Strong in data modeling, ETL/ELT, warehousing, governance. Proficient in SQL, Python, Spark, and related tools.

Specialized Certification and Experience Pathway (Alternative):

Education: National Diploma in Information Technology or related field.
Required Minimum Experience: 12–17 years in Data Governance, cataloging tools, Data Lakehouse, Engineering, and Architecture, showing leadership skills equivalent to a degree holder.
Mandatory Certifications: At least two: one strategic (e.g., TOGAF 9 Certified or CDMP Professional/Master) and one cloud/platform (e.g., Databricks Certified Data Engineer, Azure Solutions Architect Expert/Data Engineer Associate, Google Cloud Professional Data Engineer/Architect, or AWS Solutions Architect Professional/Data Analytics Specialty).

Minimum Functional Requirements (Technical Skills and Knowledge):

Deep Data Modeling Expertise: Expert in dimensional (Star/Snowflake), Data Vault, and Relational models, understanding their pros and cons.
Cloud Data Platform Mastery: In-depth experience with at least two clouds (Azure, AWS, GCP) for data warehousing, lakes, and compute.
Big Data Ecosystem: Hands-on with Apache Spark (PySpark/Scala) and streaming like Kafka.
Data Governance: Ability to implement Metadata Management, Lineage, Quality, and Observability.
Advanced SQL and Programming: Expert complex SQL and Python/Scala for pipelines.
Architecture Frameworks: Experience with TOGAF or similar for data projects.
Security and Access Control: Expertise in access controls, encryption, and masking in cloud data stores.
Technical Skills: Strong in modeling, ETL/ELT, warehousing, governance. Proficient in SQL, Python, Spark.
Soft Skills: Great communication, collaboration, problem-solving. Can work alone and lead teams.

Click here to apply

ICT Service Manager (JG P7) (Pretoria)

Reference Number: S20001

Employment Type: Permanent

Job Purpose: Proactively manage ICT service calls and serve as the connection between ICT and the business.

Required Minimum Education/Training:

3-year ICT National Diploma or Degree (NQF 6 or higher)
ITIL training/certification
Relevant technical certifications are an added advantage

Required Minimum Work Experience:

5 years in ICT support services
1 year as ICT desktop support/services team leader or project manager
Experience in other ICT services and infrastructure management
Exposure to frameworks like ITIL, ITSM, or COBIT
Experience with business service management solutions
Experience leading ICT desktop support projects
Experience with desktop support services reporting
Manage provision of desktop support services according to agreed service levels

Key Performance Areas:

Ensure ICT governance over the desktop environment
Provide reports and escalations to Senior Manager
Act as a link between ICT and business
Proactive monitoring and management of service levels with the business

Background verification, including criminal record and citizenship checks, will be done. Foreign qualifications must be evaluated by SAQA. CIPC is an equal opportunity employer with preference for equity plan candidates. Only shortlisted candidates will hear back. Be available for interviews as scheduled. If no response in two months, consider your application unsuccessful. CIPC may not fill the position.

For more details, visit CIPC Careers or www.cipc.co.za.

Note: Faxed, emailed, posted, or hand-delivered applications will not be accepted.

If you have trouble applying, call CIPC Recruitment at 087 743 7197 / 7075 / 087 260 1554.

Closing Date: October 31, 2025

Click here to apply

We wish you all the best with your applications.

CIPC Vacancies (3 Posts)

Senior Data Engineer (Pretoria)

Senior Data Architect (Pretoria)

ICT Service Manager (JG P7) (Pretoria)