Job title: Data Quality Specialist
Job type: Contract
Emp type: Full-time
Industry: Technology
Functional Expertise: Data Data Engineering & Architecture
Skills: Data data quality powerbi reporting root cause analysis CDMP Banking regulated environment data steward metadata
Pay interval: Hourly
Pay rate from: ZAR 750.00
Pay rate to: ZAR 750.00
Location: City of Tshwane Metropolitan Municipality, GP
Job published: 05-05-2026
Job ID: 38283

Job Description

THE OPPORTUNITY THAT AWAITS YOU

 

A large, highly respected organisation within the financial and regulatory environment is strengthening its enterprise data capabilities and is seeking an experienced Data Quality Specialist (12 Month Initial Contract)  to support this journey.

This role sits within a broader enterprise information management programme focused on treating data as a strategic asset.

You'll play a key role in improving data management maturity, supporting reliable decision-making, and ensuring that data is governed, protected, and used appropriately across the organisation.

 

YOUR KEY RESPONSIBILITIES

  • Drive the continuous improvement of data management practices, tools, and processes
  • Support enterprise data capabilities including governance, quality, and metadata management
  • Design and implement processes, procedures, and technologies for managing complex datasets
  • Perform data assessments, analysis, consolidation, and cleansing
  • Define, develop, enhance, and maintain datasets supporting multiple business processes
  • Evaluate datasets for consistency, completeness, and accuracy, taking corrective action where required
  • Provide technical input across enterprise-wide data initiatives
  • Collaborate with stakeholders to promote effective data usage and support informed decision-making
  •  Participate in cross-functional data-related initiatives
  •  Exposure to enterprise data management disciplines, including data governance, reference and master data management, data quality and metadata management, data modelling and architecture, data warehousing, business intelligence, data integration, and data security and operations.
  • To profile data assets, based on defined data quality dimensions relevant to the business process or problem such as accuracy, completeness, consistency, reliability and timeliness.
  • To assess the level to which data is fit for purpose for its intended use and remediate any data quality shortcomings as per data quality thresholds.
  • To assess the business impact of the identified data quality issues to determine the significance of the problems to business operations.
  • To conduct root-cause analysis to identified data quality issues in order to address the challenges at source.
  • To conduct an assessment on data quality maturity levels within the organisation against best practices.
  • To monitor, measure and compare the Data Quality assessment results against the data requirements.
  • To define and implement data quality measurements and metrics for the critical data elements to support reliable decision making.
  • To monitor, measure and report the data quality levels to create the necessary awareness and understanding of reliability of data.
  • To enable the improvement of the data quality levels by means of guiding and training data owners, data stewards and data users in all aspects of data quality management (e.g., definition of data quality business rules, data quality service levels, profiling, analysis and assessment of data quality)
  • To remediate data quality issues to limit the reoccurrence of the data quality issues.
  • To develop and manage stakeholder relations effectively to promote data quality awareness across the organisation and support reliable decision making.
  • To develop and maintain reporting dashboards, issue tracking, and monitor the technical status of the data quality.
  • To develop reports pertaining to data quality management and associated activities.
  • To drive the automation of data quality management processes and functions.

 

OUR REQUIRED EXPERTISE

 

  • Bachelor's degree in Computer Science, Information Management, or equivalent
  • 5–8 years’ experience in a data management environment
  • Strong experience across enterprise data management discipline
  • Experience working with complex, large-scale datasets.
  • Strong data analysis, validation, and data quality skills.
  • Ability to engage effectively with both technical and business stakeholders.
  • Data Quality strategy knowledge
  • Data Quality strategy skills
  • EIM planning skills.
  • EIM legislation and governance, risk, and compliance knowledge
  • EIM legislation and governance, risk, and compliance skills

For more roles, please have a look at our website (www.60degrees.com). or follow us on LinkedIn (https://www.linkedin.com/company/10287263/)