Description:
Seeking an experienced Head of Data Management and Engineering to lead the design and implementation of our client’s enterprise-wide data strategy. This senior leadership role drives data quality, governance, and engineering excellence to enable data-driven innovation across the group.
Key Responsibilities
- Define and implement data management and engineering strategies aligned to the DAMA framework.
- Oversee data collection, storage, governance, and integration across multiple systems.
- Lead teams delivering scalable, secure, and reusable data solutions (Hadoop, Spark, Kafka, Hive, etc.).
- Partner with Group IT, Data Science, and divisional leaders to operationalise analytics and machine learning.
- Drive data maturity, stakeholder collaboration, and continuous improvement.
- Manage budgets, resources, and performance within the Data Management and Engineering functions.
Key Requirements
- Honours/Master’s/PhD in Engineering, Mathematics, Statistics, Computer Science, or related field .
- 8+ years’ experience in Data Engineering and Management leadership.
- Proven experience with distributed data systems (Hadoop, Spark, Kafka, etc.) and SQL.
- Strong background in Data Governance, Architecture, and Cloud environments.
- Excellent leadership, stakeholder management, and strategic problem-solving skills.
Email your CV to it.jobs@mspstaffing.co.za and quote the reference number in your subject line.
You can also contact the IT team on XXX-XXXX or visit https://mspstaffingza.co/ .
NOTE: When replying to the advert, please include the reference number in the subject line. Correspondence will only be conducted with shortlisted candidates. Should you not hear from us within 3 days, please consider your application unsuccessful.
Requirements:
Seeking an experienced Head of Data Management and Engineering to lead the design and implementation of our client’s enterprise-wide data strategy. This senior leadership role drives data quality, governance, and engineering excellence to enable data-driven innovation across the group.
Key Responsibilities
- Define and implement data management and engineering strategies aligned to the DAMA framework.
- Oversee data collection, storage, governance, and integration across multiple systems.
- Lead teams delivering scalable, secure, and reusable data solutions (Hadoop, Spark, Kafka, Hive, etc.).
- Partner with Group IT, Data Science, and divisional leaders to operationalise analytics and machine learning.
- Drive data maturity, stakeholder collaboration, and continuous improvement.
- Manage budgets, resources, and performance within the Data Management and Engineering functions.
Key Requirements
- Honours/Master’s/PhD in Engineering, Mathematics, Statistics, Computer Science, or related field .
- 8+ years’ experience in Data Engineering and Management leadership.
- Proven experience with distributed data systems (Hadoop, Spark, Kafka, etc.) and SQL.
- Strong background in Data Governance, Architecture, and Cloud environments.
- Excellent leadership, stakeholder management, and strategic problem-solving skills.
Email your CV to it.jobs@mspstaffing.co.za and quote the reference number in your subject line.
You can also contact the IT team on XXX-XXXX or visit https://mspstaffingza.co/ .
NOTE: When replying to the advert, please include the reference number in the subject line. Correspondence will only be conducted with shortlisted candidates. Should you not hear from us within 3 days, please consider your application unsuccessful.
- Define and implement data management and engineering strategies aligned to the DAMA framework.
- Oversee data collection, storage, governance, and integration across multiple systems.
- Lead teams delivering scalable, secure, and reusable data solutions (Hadoop, Spark, Kafka, Hive, etc.).
- Partner with Group IT, Data Science, and divisional leaders to operationalise analytics and machine learning.
- Drive data maturity, stakeholder collaboration, and continuous improvement.
- Manage budgets, resources, and performance within the Data Management and Engineering functions.
- Honours/Master’s/PhD in Engineering, Mathematics, Statistics, Computer Science, or related field .
- 8+ years’ experience in Data Engineering and Management leadership.
- Proven experience with distributed data systems (Hadoop, Spark, Kafka, etc.) and SQL.
- Strong background in Data Governance, Architecture, and Cloud environments.
- Excellent leadership, stakeholder management, and strategic problem-solving skills.