Data Quality Specialist

Recruiter:

Data Centrix

Job Ref:

JHB007162/VDK

Date posted:

Tuesday, April 28, 2026

Location:

Pretoria, South Africa

SUMMARY:

Our client, a major player in the financial services industry, is seeking an experienced Data Quality Specialist to join their team on a 12-month contract. This is an exciting opportunity for a data management professional who is passionate about improving data maturity, strengthening data quality practices, and enabling reliable, informed business decision-making across a complex enterprise environment.

The successful candidate will play a key role in supporting the organisation’s data management maturity journey by providing specialist technical input across data quality, governance, compliance, continuous improvement, and Enterprise Information Management initiatives. This role is ideal for a professional who understands the importance of trusted, well-governed data and can contribute to the appropriate usage, protection, and quality assurance of critical business information.

The ideal candidate will hold a qualification in Information Systems, Computer Engineering, or an equivalent field, together with a relevant data management certification such as CDMP Associate. You should bring 5 to 8 years’ experience in a data management environment, with strong exposure to data quality strategy, EIM governance, quality assurance, continuous improvement, business continuity planning, and regulatory compliance within a structured corporate environment.

POSITION INFO:
Requirements

A minimum of a Bachelors Degre in Computer Science, Management Information Systems, Computer Engineering or equivalent
A relevant data management certification (e.g. CDMP Associate)
A minimum of five to eight years experience in a data management environment

Duties and Responsibilities

Profile data assets based on defined data quality dimensions relevant to the business process or problem, such as accuracy, completeness, consistency, reliability, and timeliness.
Assess the extent to which data is fit for purpose for its intended use and remediate any data quality shortcomings in line with data quality thresholds.
Assess the business impact of identified data quality issues to determine the significance of the problems to business operations.
Conduct root-cause analysis on identified data quality issues in order to address the challenges at source.
Conduct an assessment of data quality maturity levels within the organisation against best practices.
Monitor, measure, and compare data quality assessment results against data requirements.
Define and implement data quality measurements and metrics for critical data elements to support reliable decision-making.
Monitor, measure, and report on data quality levels to create the necessary awareness and understanding of data reliability.
Enable the improvement of data quality levels by 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.
Remediate data quality issues to limit the recurrence of such issues.
Develop and manage stakeholder relationships effectively to promote data quality awareness across the organisation and support reliable decision-making.
Develop and maintain reporting dashboards, issue tracking, and monitor the technical status of data quality.
Develop reports relating to data quality management and associated activities.
Drive the automation of data quality management processes and functions.

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