225 Data Management jobs in South Africa

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.

• 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.

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.

• 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.

• Bachelor's degree in a related field (Computer Science, Data Science, Statistics and Finance) or equivalent work experience.
• Data Science Qualification (Advantageous).
• SQL Certification (Advantageous).

• 1-3 years experience.
• Strong MS SQL experience.
• Experience working with financial instruments.
• Experience working with Bloomberg (Advantageous).
• Software Development Life Cycle (SDLC) experience (Advantageous).
• Experience working in an Agile environment (Advantageous).
• Power BI experience (Advantageous).

• This role requires staff to work one of two shifts (which will alternate between team members). Our clients ordinary hours of work are 7.5 hours plus a 1-hour lunch break. The morning shift ordinarily starts at 06:00 and the evening shift ordinarily ends at 16:45.
• Overtime is required from time-to-time should there be system issues or data delivery issues.

• Good understanding of Microsoft Office products.
• Able to run and check data processes and data integrity.
• Has knowledge of financial instruments.
• Must maintain relationships with external service providers.
• Identifying and resolving data issues and keeping track of progress through issue tracking software.
• Ability to safeguard integrity of sensitive data.
• Communicates clearly and politely, both verbally and in writing, to obtain information.
• Quick learner.
• Self-motivated.
• Pays attention to detail.
• Able to work independently but also be a team player.
• Uses initiative, is pro-active and possesses problem solving skills.
• Not afraid to challenge the status-quo.

• Work irregular hours.

Job Overview

Business Segment: Personal & Private Banking

Location: ZA, GP, Johannesburg, 30 Baker Street

Job Type: Full-time

Job Ref ID: A-0002

Date Posted: 9/2/2025

Job Description

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.

Qualifications

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.

Additional Information

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

Please note: All our recruitment processes comply with the applicable local laws and regulations. We will never ask for money or any from of payment as part of our recruitment process. If you experience this, please contact our Fraud line on or

Company Description

INTEGRITY TRUCKING AND CONSTRUCTION SERVICES INC is a reputable construction company based in Balko, Oklahoma. The company is dedicated to delivering high-quality construction services to its clients. With a strong emphasis on integrity and excellence, the company aims to meet the diverse needs of its customers while maintaining high standards of safety and efficiency.

Role Description

This is a full-time hybrid role for an Executive: Data Management & Analytics, located in the Johannesburg Metropolitan Area with some work-from-home flexibility. The candidate will be responsible for overseeing data management processes, analyzing large datasets, developing data strategies, and providing actionable insights to drive business decisions. Daily tasks include managing data systems, conducting data quality assessments, ensuring data security, and collaborating with various departments to implement data solutions.

Qualifications

• Experience in Data Management and Governance
• Proficiency in Data Analysis, Data Visualization, and Business Intelligence tools
• Skills in Data Warehousing and Data Architecture
• Competence in Statistical Analysis and Predictive Analytics
• Strong problem-solving abilities and detail orientation
• Excellent communication and collaboration skills
• Ability to work independently and in a team in a hybrid environment
• Advanced degree in Data Science, Computer Science, Statistics, Information Systems, or related field
• Experience in the construction industry is a plus

Company Description

Work with Us. Change the World.

At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world's most complex challenges and build legacies for future generations.

There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.

We're one global team driven by our common purpose to deliver a better world. Join us.

Job Description

AECOM is seeking a mid-level Environmental Data Manager to support our enterprise environmental data management system (EarthSoft EQuIS). The ideal candidate will have a strong understanding of environmental data and terminology, good communication skills, and the ability to collaborate with both technical and non-technical stakeholders. As a team Lead, you will be responsible for guiding a high-performing team toward achieving operational and strategic goals. You'll serve as a mentor, problem-solver, and project driver—ensuring that team efforts align with broader organizational objectives. This role demands a balance of technical expertise, emotional intelligence, and leadership acumen.

This position offers the flexibility of a hybrid work schedule including both in-office and remote work options and will be located in Pretoria, South Africa (Centurion office).

Management Responsibilities:

• Collaborate with cross-functional teams to ensure alignment with business goals.
• Lead, coach, and motivate a team of professionals to meet performance targets by fostering a culture of accountability, collaboration, and continuous improvement
• Conduct regular one-on-ones, performance reviews, and career development planning
• Set strategic direction and provide clear guidance to align team efforts with organizational goals.
• Cultivate a high-performance culture that values collaboration, inclusivity, and continuous improvement.
• Lead regular check-ins and performance reviews to support growth and accountability.
• Oversee financial planning, including budgeting, forecasting, and resource allocation.
• Drive talent development by identifying skill gaps and enabling upskills and career progression.
• Manage end-to-end project execution, ensuring timely delivery and quality outcomes.
• Contribute to business strategy, offering insights for growth and innovation.
• Mentor and coach team members for career growth
• Build and maintain strong relationships with internal and external stakeholders
• Support resource planning and allocation to ensure optimal team utilization.

Technical Responsibilities:

• The ideal candidate will be able to understand requests from environmental subject matter experts.
• Gather, organize, and validate field data from environmental monitoring activities such as air, soil, and water quality assessments.
• Manage field and analytical data in relational database systems like EarthSoft EQuIS, Locus EIM, or other environmental databases.
• Conducting QA/QC for electronic data deliverables with laboratory analytical data to ensure quality.
• Generating standardized report output through software tools like EQuIS or EIM.
• Prepare environmental data summaries and compliance reports for submission to regulatory agencies.
• Utilize statistical tools and predictive modeling techniques to assess environmental impacts and forecast trends.
• Design and create dashboards and visualizations using platforms such as Power BI or EQuIS Enterprise.
• Ensure data meets reporting standards and guidelines set by local, state, and federal authorities.
• Responsible for generating Borelogs through multiple platforms like gINT, open source, or EQuIS.
• Supporting legacy data migrations to EQuIS/EIM as needed, ensuring proper formatting and compatibility.
• Collaborate with stakeholders, project managers, and team members to achieve project objectives efficiently.
• Provide technical support to field sampling teams and act as a liaison between the project staff, analytical laboratory, data validator, and GIS analysts.
• Research state and federal regulations necessary to manage action levels or clean-up criteria.

Qualifications

Minimum Requirements:

• Bachelor's/master's degree in environmental engineering, Environmental Science, or a related discipline plus tem (10) years of relevant experience in environmental data management or consulting, with hands-on experience in EQuIS, LOCUS EIM, ESDAT, or similar databases or demonstrated equivalency of experience and/or education.
• Expertise and experience with environmental data and database systems (MS SQL Server, MS Access). Expertise with relational databases such as EarthSoft's Environmental Quality Information System (EQuIS) /EIM/ ESdat. Ability to continually analyze data at all stages for problems, logic, and consistency concerning field data collection, analytical reporting, and other expertise on EQUIS sub-tools (Collect, Edge, ArcGIS, highly desirable but not essential).
• Assist with projects globally and task delivery with high quality and within deadlines. Managing data (geological, Field data, chemical laboratory data) for technical report writing and interpretation as required by the team. Maintaining and updating various project dashboards using the web-based EQuIS Enterprise system; and preparing report-ready data tables, charts, and figures for internal review and external client reports.
• Project management duties include coordinating field events. Using the sample registry and Sample Planning module, create EDDs and load to EQuIS to track event closure.
• Proficient in EQuIS Collect Module, create and deploy different categories of forms and train field personnel on the same.
• Expert level understanding of Office 365, Excel, Power Query & Power Automate.
• Should be good in Documentation, including Data Management SOPs, Process Maps, Work instructions, Activity Analysis, and Task effort estimation
• Use of visualization tools like Power BI to help management make effective decisions for the environmental domain is desirable but not essential
• Knowledge of digital tools like Power BI, R Studio, KNIME Analytics, SQL, and Python is a plus but not mandatory.
• Strong organizational skills, with experience prioritizing, time management, and managing multiple tasks.
• Effective communication skills to interact with multidisciplinary teams and clients.
• Expertise in applying Six-Sigma techniques/analysis to the environmental data management process.
• Strong attention to detail with excellent analytical, judgment, and problem-solving capabilities.
• Comfortable running meetings and presentations

Additional Information

About AECOM

AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.

AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients' complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle – from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2024. Learn more at

What makes AECOM a great place to work

You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects - both in your local community and on a global scale - that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you'll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you've always envisioned. Here, you'll find a welcoming workplace built on respect, collaboration and community - where you have the freedom to grow in a world of opportunity.

As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines.

Company Description
Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector's most talented, motivated 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. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you.

Job Description
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.

Qualifications
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.

Additional Information

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

Our client is seeking an experienced Data Management Capability Lead to be based at their Centurion office. The role is responsible for leading the organisation's data capability centre, with a focus on SAP data migration, governance and ECC to S/4HANA transitions. The successful candidate will oversee end-to-end data programmes, build internal capability and ensure delivery across complex SAP landscapes.

Key Focus Areas:

• Strategic Leadership – Design and implement SAP data migration frameworks, manage ECC to S/4HANA transitions and set governance standards.
• Migration & Innovation – Deliver structured SAP data migrations using advanced tools (Data Services, LTMC, LSMW, ABAP, SQL) and implement SAP MDG.
• Capability Building – Develop and mentor consultants, data stewards and graduates into client-facing roles.
• Client Engagement – Facilitate readiness workshops, ensure compliance with POPIA and ISO27001 and advise stakeholders at the executive level.
• Delivery Management – Govern data project milestones, from mock loads to cutovers and reconciliations, ensuring business continuity and quality.

Minimum Requirements:

• Bachelor's degree in Information Systems, Computer Science, Data Science, or related field.
• SAP Activate Project Manager Certification.
• SAP MDG Certification and DAMA-DMBOK2 knowledge/certification.
• PMP or Agile/Scrum certification.
• 15+ years in SAP programmes, with at least 5 years leading large-scale data migration and governance portfolios.
• Proven experience across ECC, S/4HANA, IS-U, Real Estate, Retail, and Public Sector.

This is a senior leadership opportunity for a highly experienced professional with a strong track record in SAP data transformation. If you meet the requirements and are interested in this role, please apply.

Please note: Only shortlisted candidates will be contacted.