28 Database Management Systems jobs in Johannesburg
Manager, Data Management
Posted 2 days ago
Job Viewed
Job Description
Overview
Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers career-enhancing opportunities and the chance to work with talented professionals. Our clients range from individuals to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa and delivering value to clients and communities.
ResponsibilitiesProvide infrastructure, tools and frameworks used to deliver end-to-end solutions to business problems. Build scalable infrastructure for supporting the delivery of clear business insights from raw data sources; with a focus on collecting, managing, analysing, visualising data and developing analytical solutions. Responsible for expanding and optimising Standard Bank's data and data pipeline architecture, whilst optimising data flow and collection to ultimately support data initiatives.
Qualifications- Type of Qualification: First Degree
- Field of Study: Information Studies
- Type of Qualification: First Degree
- Field of Study: Information Technology
- Data Monetisation
- Data & Analytics
- 5-7 years
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift.
- Experience with stream-processing systems: Storm, Spark-Streaming, etc.
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
- Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. A successful history of manipulating, processing and extracting value from large disconnected datasets. Working knowledge of message queuing, stream processing, and highly scalable "big data" data stores.
- Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience building and optimizing "big data" data pipelines, architectures and data sets. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Behavioural Competencies:
- Adopting Practical Approaches
- Articulating Information
- Challenging Ideas
- Checking Things
- Examining Information
- Exploring Possibilities
- Interpreting Data
- Meeting Timescales
- Producing Output
- Providing Insights
- Team Working
- Upholding Standards
- Technical Competencies:
- Data Analysis
- Database Administration
- Data Integrity
- Knowledge Classification
Manager, Data Management
Posted 2 days ago
Job Viewed
Job Description
Overview
Business Segment: Personal & Private Banking
Location: ZA, GP, Johannesburg, 30 Baker Street
Provide infrastructure, tools and frameworks used to deliver end-to-end solutions to business problems. Build scalable infrastructure for supporting the delivery of clear business insights from raw data sources; with a focus on collecting, managing, analysing, visualising data and developing analytical solutions. Responsible for expanding and optimising Standard Bank's data and data pipeline architecture, whilst optimising data flow and collection to ultimately support data initiatives.
Responsibilities- Provide infrastructure, tools and frameworks used to deliver end-to-end solutions to business problems.
- Build scalable infrastructure for supporting the delivery of clear business insights from raw data sources; with a focus on collecting, managing, analysing, visualising data and developing analytical solutions.
- Responsible for expanding and optimising Standard Bank's data and data pipeline architecture, whilst optimising data flow and collection to ultimately support data initiatives.
- Type of Qualification: First Degree
- Field of Study: Information Studies
- Type of Qualification: First Degree
- Field of Study: Information Technology
- Experience Required
- Data Monetisation
- Data & Analytics
- 5-7 years
- Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. Experience with AWS cloud services: EC2, EMR, RDS, Redshift. Experience with stream-processing systems: Storm, Spark-Streaming, etc. Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
- 5-7 years
- Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. A successful history of manipulating, processing and extracting value from large disconnected datasets. Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
- 5-7 years
- Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience building and optimizing 'big data' data pipelines, architectures and data sets. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Manager, Data Management
Posted 2 days ago
Job Viewed
Job Description
Overview
Provide infrastructure, tools and frameworks used to deliver end-to-end solutions to business problems. Build scalable infrastructure for supporting the delivery of clear business insights from raw data sources; with a focus on collecting, managing, analysing, visualising data and developing analytical solutions. Responsible for expanding and optimising Standard Bank's data and data pipeline architecture, whilst optimising data flow and collection to ultimately support data initiatives.
Responsibilities- Provide infrastructure, tools and frameworks that enable end-to-end solutions for business problems.
- Build scalable infrastructure to collect, manage, analyse and visualise data; develop analytical solutions.
- Expand and optimise data and data pipeline architecture; improve data flow and data collection to support data initiatives.
- Collaborate with teams to implement data-informed solutions and insights.
- Type of Qualification: First Degree
- Field of Study: Information Studies
- Type of Qualification: First Degree
- Field of Study: Information Technology
- Experience Required: Data Monetisation, Data & Analytics
- Experience: 5-7 years
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases, including PostgreSQL and Cassandra.
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift.
- Experience with stream-processing systems: Storm, Spark-Streaming, etc.
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
- Strong analytic skills related to working with unstructured datasets.
- Experience building data transformations, structures, metadata, dependency and workload management.
- Proven ability to manipulate, process and extract value from large, disconnected datasets.
- Working knowledge of message queuing, stream processing, and scalable big data data stores.
- Working SQL knowledge and experience with relational databases; proficiency in query authoring and familiarity with various databases.
- Experience building and optimizing big data pipelines, architectures and data sets; experience performing root cause analysis to drive improvements.
- Adopting Practical Approaches
- Articulating Information
- Challenging Ideas
- Checking Things
- Examining Information
- Exploring Possibilities
- Interpreting Data
- Meeting Timescales
- Producing Output
- Providing Insights
- Team Working
- Upholding Standards
- Data Analysis
- Database Administration
- Data Integrity
- Knowledge Classification
- Mid-Senior level
- Full-time
- Information Technology
Specialist, Data Management
Posted 3 days ago
Job Viewed
Job Description
Overview
Business Segment: Insurance & Asset Management
Location: ZA, GP, Roodepoort, Ellis Street 4
This role resides within Standard Insurance Limited Data management and Insights and requires the incumbent to provide data management support to Actuarial, Personal lines, Commercial and Finance. Responsible for data analysis, expanding and optimising data flow and collection to ultimately support data initiatives.
Qualifications- Type of Qualification: Bachelor’s degree in Statistics, Computer Science, Mathematics, Business, or related field. Advanced degrees or certifications in data analysis, data management
- Other Preferred Qualifications, certifications or professional memberships : Data related certifications, SAS, Microsoft SQL server
- Experience Required: SQL, SAS or any related programming language (knowledge for querying, data extraction, and manipulation across databases.)
- Experience with data visualization tools such as PowerBi
- Basic accounting knowledge
- Business analysis and project management
- Data Quality and metadata management
- Strong analytical and troubleshooting abilities, with a keen attention to detail.
- Ability to think critically and resolve complex data issues efficiently.
- Proven experience identifying and addressing root causes of data discrepancies.
Data Management Specialist
Posted 9 days ago
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Job Description
We are seeking a highly skilled Data Management Specialist to join our financial services team. The ideal candidate will play a pivotal role in managing and enhancing data governance, quality, and architecture to support regulatory compliance, business insights, and operational efficiency.
Key Responsibilities:Develop and implement data management strategies aligned with business objectives and regulatory requirements.
Establish and maintain data governance frameworks, policies, and standards.
Monitor and ensure data quality, integrity, and accuracy across systems.
Collaborate with stakeholders to define data requirements and metadata standards.
Support the design and implementation of data architecture and integration solutions.
Manage data lineage, classification, and cataloging processes.
Drive continuous improvement in data processes and tools.
Ensure compliance with data protection regulations and financial services standards.
Bachelors degree in Information Systems, Data Science, or a related field.
Proven experience in data management within the financial services sector.
Strong knowledge of data governance, data quality, and metadata management.
Familiarity with data architecture and regulatory frameworks (e.g., BCBS 239, GDPR, POPIA).
Proficiency in data management tools and technologies (e.g., Collibra, Informatica, Microsoft Purview).
Excellent analytical, communication, and stakeholder engagement skills.
Relevant certifications (e.g., DAMA, DCAM).
Experience in change management and data-driven digital transformation.
Data Management Specialist Sandhurst
Posted 3 days ago
Job Viewed
Job Description
Are you passionate about data management and information systems? Our client is seeking a skilled individual to join their team as a Data & Management Information Systems Specialist!
Duties & Responsibilities- Head office-based role working with Operations Head, Finance Manager & IT.
- Understanding of the Companies Operating Model & business processes.
- Responsible for change control of data into production environment.
- Align with data architecture & data design mapping to enable data integration.
Qlik; XLS; Power Bi; Internal Applications (proprietary systems built in-house)
Desired Experience & Qualification- Experience in financial services/Wealth Management (beneficial).
- Exposure to Xplan (beneficial).
Executive: Data Management & Analytics
Posted 12 days ago
Job Viewed
Job Description
As the Executive: Data Management & Analytics , youll be the bridge between business priorities and technology deliverychampioning governance, embedding a data-driven culture, and ensuring that data is a trusted, strategic asset across the enterprise.
What Youll Do:
- Strategic Data Leadership:
- Lead the execution of the enterprise data & analytics strategy, aligned to business priorities.
- Champion data governance, quality, and compliance, ensuring regulatory alignment.
- Drive a culture of data-led decision-making across the organisation.
- Data Management & Architecture:
- Standardise and enforce data input formats, ingestion processes, and cross-unit KPIs.
- Maintain an enterprise-wide data catalog with transparency on lineage and ownership.
- Monitor and drive improvements in data quality, consistency, and compliance.
- Analytics Use Case Delivery:
- Lead and operationalise analytics use cases across Finance, Risk, HR, Compliance, and Actuarial.
- Embed trusted datasets into daily decision-making processes.
- Guide analytics teams to align with central governance and standards.
- Governance & Compliance:
- Define and enforce enterprise-wide data definitions, retention, and lifecycle management.
- Enhance metadata, lineage, and quality frameworks.
- Serve as executive sponsor for data privacy and ethical data use.
- Technology & IT Partnership:
- Collaborate with IT leadership to deliver scalable, secure data pipelines and infrastructure.
- Influence investment decisions to align with long-term data strategy.
- Ensure toolsets and architecture support enterprise-wide analytics execution.
- People Leadership:
- Build, coach, and lead a high-performing data operations team.
- Foster accountability, collaboration, and continuous improvement.
- Manage talent, succession, and capacity within the function.
What Youll Bring:
- Bachelors Degree in Data Science, Statistics, Actuarial Science, Mathematics, Computer Science or a related field (Masters preferred).
- 8+ years experience in data, analytics, or technology roles within insurance, banking, or telecoms.
- 3+ years leadership experience , bridging business and technology.
- Proven expertise in Azure Synapse, SQL, metadata management, and MDM platforms .
- Strong record in delivering enterprise analytics use cases and governance frameworks.
- Deep knowledge of South African data governance and compliance requirements.
Who You Are:
- A visionary strategist who anticipates trends and develops long-term solutions.
- Insightful and decisive, with a passion for improving processes and unlocking value.
- An ethical leader who inspires trust, accountability, and collaboration.
- A confident communicator, able to influence at executive and industry level.
This is more than a roleits an opportunity to build the future of data management and analytics in one of the most forward-thinking environments in the insurance and risk solutions industry.
Apply now:
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Executive: Data Management & Analytics
Posted 12 days ago
Job Viewed
Job Description
- Lead Data & Analytics Strategy - Drive the companys data agenda, ensuring governance, compliance, and a culture of data-driven decision-making.
- Own Data Management - Standardise processes, maintain data quality, and manage enterprise-wide data catalogues.
- Deliver Analytics Impact - Embed trusted insights across Finance, Risk, HR, Compliance, and Actuarial.
- Ensure Compliance & Technology Alignment - Partner with IT, strengthen governance, and oversee secure and scalable data solutions.
- Inspire & Lead Teams - Build and guide a high-performing data team focused on collaboration and continuous improvement.
Job Experience and Skills Required:
- Bachelors in Data/Stats/Actuarial/Maths/Comp Sci (Masters is a plus).
- 8+ years in data/analytics/tech roles (insurance, banking, and telecoms).
- 3+ years leadership, and bridging business & tech.
- Skilled in Azure Synapse, SQL, metadata, and MDM.
- Proven track record in enterprise analytics and governance.
- Strong knowledge of South African data compliance.
Apply now!
Head of Data Management
Posted 20 days ago
Job Viewed
Job Description
- A minimum of an NQF Level 7 (or higher) qualification in Business Management, Finance, Human Resources, Project Management, or another relevant field.
- Minimum of 10 years senior executive-level and stable working experience.
- Proven expertise in operations management, strategic planning, and organisational effectiveness.
- Strong knowledge of financial management, human resources, and project management principles.
- Advanced IT and data management knowledge with a deep understanding of compliance and governance requirements.
- Demonstrated strategic leadership, negotiation, and people management skills.
- Strong ability to manage complex stakeholder relationships and a challenging customer base.
- Willingness to travel domestically to member institutions and clients.
Duties and Responsibilities:
Data Management
- Develop and implement data management and governance policies and procedures.
- Oversee the accuracy, security, and completeness of data assets.
- Ensure compliance with legal frameworks, including the POPI Act.
- Manage relationships with universities, TVETs, banks, background screening companies, alumni, and other key stakeholders.
- Lead and mentor the data management team, fostering excellence and accountability.
Sales and Marketing
- Design and implement strategies to achieve sales and revenue growth.
- Build and maintain relationships with existing and potential clients to generate income.
- Market and promote the companys services across target markets.
- Oversee divisional marketing and communications plans, ensuring brand alignment.
- Develop and manage strategic partnerships, alliances, and new contracts with higher education institutions.
Leadership & Operations
- Provide strategic leadership to ensure organisational effectiveness and financial sustainability.
- Review financial data with the Finance Manager to improve profitability and ensure operational budgets are aligned with strategy.
- Recruit, develop, and lead a high-performing team.
- Ensure compliance with regulatory and operational frameworks while driving continuous improvement and innovation.
Closing Date:
Submissions for this vacancy will close on 25 August 2025, however you will still have the opportunity to submit your CV for this position till 18 September 2025.
Please Note:
Thank you for submitting your CV to Marvel Placement Consultants. We value your submission, and we try our utmost best to get back to each applicant. However, should your application be successful, we will be in contact with you. Should you not hear from us within two weeks of application, please consider your application unsuccessful. We are, however, recruitment specialists and will keep your details on our database for possible future opportunities.
PoPI Act:
Please note that Marvel Placement Consultants adhere to the POPI Act (Act No. 4 of 2013: Protection of Personal Information Act, 2013). Section 9 of PoPI states that "Personal Information may only be processed if, given the purpose for which it is processed, it is adequate, relevant and not excessive".
Data Management Practice Lead
Posted 22 days ago
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Job Description
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive.
The Practice Lead for Data Management is responsible for leading the strategic design and operational execution of enterprise data management initiatives. This includes overseeing the development of the data catalog, implementing data quality frameworks, managing role-based security access, designing the data marketplace, and supporting the architecture of the overall data analytics solution
**Key Responsibilities:**
**Data Catalog Development**
+ Lead the implementation and continuous improvement of the enterprise data catalog.
+ Ensure metadata is accurately captured, maintained, and accessible to stakeholders.
**Data Quality Management**
+ Define and implement data quality metrics and reporting frameworks.
+ Oversee the creation of automated data quality reports and dashboards.
+ Collaborate with data stewards and owners to resolve data quality issues.
**Role-Based Security Access**
+ Design and enforce role-based access control (RBAC) policies across data platforms.
+ Ensure compliance with data privacy and security regulations (e.g., POPIA, GDPR).
**Data Marketplace Design**
+ Lead the design and rollout of a self-service data marketplace.
+ Ensure data assets are discoverable, well-documented, and governed.
+ Analytics Solution Design Support
+ Collaborate with data architects and engineers to support the design of scalable, secure, and high-performing analytics solutions.
+ Ensure alignment between data management practices and analytics architecture.
**Leadership & Governance**
+ Define and promote data management best practices across the organization.
+ Mentor team members and foster a culture of data literacy and accountability.
+ Participate in data governance councils and strategic planning initiatives.
**Knowledge and Attributes:**
+ Excellent understanding of data modelling, statistical methods and machine learning techniques.
+ Excellent ability to thrive in a dynamic, fast-paced environment.
+ Strong quantitative and qualitative analysis skills.
+ Strong desire to acquire more knowledge to keep up to speed with the ever-evolving field of data science.
+ Strong curiosity to sift through data to find answers and more insights.
+ Excellent understanding of the information technology industry within a matrixed organization and the typical business problems such organizations face.
+ Excellent ability to translate technical findings clearly and fluently to non-technical team business stakeholders to enable informed decision-making.
+ Excellent ability to create a storyline around the data to make it easy to interpret and understand.
+ Self-driven and able to work independently yet acts as a team player.
+ Excellent ability to apply data science principles through a business lens.
+ Strong desire to create strategies and solutions that challenge and expand the thinking of peers and senior leadership teams.
+ Excellent ability to think strategically about how to use data to drive competitive advantages.
+ Excellent management and leadership skills.
**Academic Qualifications and Certifications:**
+ Bachelor's degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field.
+ Agile certification preferred.
+ Certifications in data management or governance (e.g., CDMP, DAMA).
+ Experience with modern data platforms (e.g., Snowflake, Databricks).
+ Familiarity with BI and analytics tools (e.g., Power BI, Tableau).
**Required experience:**
+ Bachelor's or Master's degree in Information Systems, Computer Science, or related field.
+ 7+ years of experience in data management, data governance, or enterprise data architecture.
+ Proven experience with:
+ **Data catalog tools** (e.g., Collibra, Alation, Microsoft Purview)
+ **Data quality tools** (e.g., Informatica, Talend, Great Expectations)
+ **RBAC and data security frameworks**
+ **Cloud platforms** (Azure, AWS, or GCP)
+ **Data marketplace concepts and tools**
+ Strong understanding of data governance, metadata management, and regulatory compliance.
**Workplace type** **:**
Hybrid Working
**About NTT DATA**
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.
**Equal Opportunity Employer**
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.