10 Etl Development jobs in South Africa
Manager - Business Transformation: Data Strategy/Data Governance - Banking and Capital Markets
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From the beginning, our goal was to establish an advisory firm that stands apart from the rest – one that is grounded in our Core Values and dedicated to creating a positive experience not just for our clients, but for our people too. We firmly believe in the strength of collaboration, enthusiasm, generosity, and perseverance as the driving forces behind our success. With advisory solutions spanning accounting and risk, technology-enabled transformation, and transactions, we partner with our clients to solve today's challenges and deliver present and future value.
Our commitment to our people has earned us numerous awards including Inc5000's Fastest Growing Companies and Glassdoor's Best Places to Work. Explore what our employees have to say about our unique culture by clicking here.
By joining our rapidly growing
Business Transformation
team you will serve as a trusted partner to our clients. You'll bring your first-hand experience, unique perspectives, and functional knowledge to deliver tailored, strategic solutions. These not only address today's challenges but also lay the groundwork for future success. With support from experienced leaders and a dedicated coach, you will join a collaborative community that encourages contributions beyond the scope of client delivery.
What You'll Do
- Working with high-performing teams to analyze, evaluate and enhance our clients businesses, including processes, governance, data and technologies
- Lead our clients and teams on their data journey which includes collaborating on their strategic vision for data, crafting a pragmatic roadmap of initiatives, and aiding our clients in the implementation of these initiatives, aligned to business objectives
- Ability to drive data governance framework design and facilitate policies and procedures development in line to meet the strategic and regulatory objectives of our clients related to data governance, data management, data quality, data risk management, and data privacy and security
- Collaborate seamlessly with key senior stakeholders, including business, IT teams and data owners to identify data needs
- Support finance transformation engagements
- Conduct interviews with clients to perform current state/future state gap analysis and identify the root causes of client's challenges
- Drive data culture and data adoption programs for clients who struggle with firmwide understanding of data ROI
- Establish KPIs related to data quality and data risk, controls, and remediation plans
- Develop roadmaps to developing data assets and data commercialization
- Drive program/project management activities including status reporting or maintain RAID logs, and able to conduct scrum meetings for defect / development management
- Support CrossCountry leadership team on internal projects, including but not limited to the following: sales/marketing initiatives, recruiting, and organizational development
What You'll Bring
- 5+ years of relevant experience and track recording delivering transformation programs into CDO, CTO, COO, CFO, and/or CRO organizations
- Strong strategic planning skills with past experience working with C-Suites executives to build out Organizational Level Strategic Roadmaps
- Up-to-date on latest industry trends in industry trends and best practices in data strategy and governance
- Knowledge of industries, including banking and capital markets, investment banking, broker-dealers, custody, fund administration and investment management
- Proven leadership roles with strong communication and presentation skills
- Professionalism and discretion in interacting with executives and clients
- Proficiency in one or more of the following: Collibra, OvalEdge, Atlan, Talend, SAP Master, BigID, OneTrust
- Experience in tools such as SQL, Tableau, PowerBI, Alteryx, Snowflake
Qualifications
- Bachelor's degree in Business, Economics, Engineering, Information Systems, Mathematics, Data Analytics, or similar discipline
Benefits Summary
The CrossCountry total rewards package includes comprehensive healthcare options, including medical, dental, and vision coverage; flexible spending accounts; and a 401(k) with company matching. Additionally, employees can take advantage of generous parental and maternity leave policies, technology stipends, and wellness reimbursement programs, all designed to support both professional growth and personal well-being. For detailed information about benefits at CrossCountry, please visit our dedicated benefits site:
Equal Employment Opportunity (EEO)
CrossCountry provides equal employment opportunities (EEO) to all employees and applicants for employment and believes that respect and fair treatment are critical to creating a productive and inclusive workplace.
As an equal opportunity employer, CrossCountry is fully committed to comply with all federal, state, and local laws and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability, pregnancy, genetics, sexual orientation, veteran status, gender identity or expression or any other protected characteristic. The company also complies with pay transparency and labor laws applicable to all terms and conditions of employment.
Manager - Data Engineer IT Strategy and Transformation
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MTN is undergoing a significant transformation to become a platform-led, data-powered, and AI-native enterprise. This journey is driven by the increasing demand for intelligent data products that are scalable, market-responsive, and rooted in strong data governance. DataCo, as the Group's strategic data enablement unit, is tasked with delivering products and platforms that unlock value from telco, geospatial, and behavioural datasets, both for internal operations and external clients.
Central to this journey is the creation of robust data infrastructure that supports advanced analytics, AI, and external monetisation use cases. DataCo, MTN Group's centralised data enablement function, is tasked with building and maintaining a high-quality data estate that is interoperable across OpCos and extendable to strategic partners and clients.
Global Influences:
The global economy is undergoing rapid digital transformation, with AI and machine learning emerging as core differentiators for competitive advantage. Enterprises are embedding predictive intelligence into their operations, products, and customer experiences to enhance efficiency, agility, and revenue growth. Meanwhile, cloud-native analytics platforms, federated learning, and MLOps frameworks are standardising how AI is scaled across complex, multi-market organisations.
Heightened focus on data ethics, fairness, and regulatory compliance is also shaping the design of AI systems. As governments tighten rules around data privacy, bias mitigation, and model explainability, organisations must ensure that AI is not only effective but also responsible and trustworthy.
Industry Drivers:
In the telecommunications sector, predictive analytics has become central to driving value from large-scale, real-time data generated by mobile networks, customer usage, and behavioral patterns. Use cases such as churn prediction, next-best-offer recommendations, network anomaly detection, and location-based targeting are no longer aspirational , they are expected. As telcos evolve into techcos and platform businesses, the ability to productise and monetise AI capabilities across industries such as FMCG, Retail, finance, and public services becomes a critical growth lever.
Additionally, as data monetisation becomes mainstream, clients are not just asking for raw data but for intelligent insights, predictive signals, and decision-ready outputs all of which require robust data science capacity.
Organisational Mandate:
MTN DataCo is positioned at the forefront of MTN Group's transformation into a data-powered, AI-native enterprise. The organisation is building a multi-OpCo data ecosystem capable of scaling advanced analytics across internal functions (e.g., marketing, sales, finance, networks) and external markets. This includes delivering reusable AI models, creating monetisable analytics solutions, and integrating intelligence into products and consulting services.
Within this context, the Product Owner/Manager plays a critical role in translating MTN's DDO strategy into high-impact data intelligence solutions. These products must serve diverse users, from OpCo teams to multinational clients, while aligning with MTN's consulting services and monetisation roadmaps. As the product lead, the incumbent must navigate a federated technology landscape, orchestrate agile delivery, and ensure that MTN's data products are competitive, compliant, and commercially viable.
Organization Values:
At MTN we believe that understanding our people's needs and aspirations is key to creating experiences that delight you at work, every day. We are committed to fostering an environment where every member of our Y'ello Family is heard, understood, and empowered to live an inspired life. Our values keep us grounded and moving in the right direction. Most importantly, they keep us honest. It is not something we claim to be. It is in our DNA.
As an organisation, we consider it our mission to create an exciting and rewarding place to work, where our people can be themselves, thrive in positivity and ignite their full potential. A workplace that boosts creativity and innovation, improves productivity, and ultimately drives meaningful results. A workplace that is built on relationships and achieving a purpose that is bigger than us. This is what we want you to experience with us
Our commitments go beyond an organisational promise. It is in our leadership and managerial ethos to meaningfully partner with our employees, customers, and stakeholders with a vision to realise our shared goals.
Data Integration
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The role of the Senior Data Integration Analyst encompasses many activities, including (but not limited to):
- Designing and implementing advanced data integration pipelines and ETL (Extract, Transform, Load) processes.
- Managing complex integrations across multiple systems and platforms to ensure seamless data flow.
- Collaborating with stakeholders to understand and define data integration requirements.
- Overseeing data governance and ensuring data integrity throughout integration processes.
- Mentoring, providing technical guidance and support.
- Troubleshooting and optimizing integration workflows for performance and reliability.
Minimum Qualification:
A Degree in Information Communication Technology (ICT) field incorporating (but not limited to) Computer Science or Software Engineering or Information Systems.
Minimum Experience:
- Minimum of 5 years' experience working with SQL, ETL, APIs; 3 years in data integration and agile-scrum environment within enterprise organisations of >1000 users.
Data Integration Analyst
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Design and implement advanced integration pipelines and ETL processes
Seamless Dataflow - Manage complex integrations to ensure seamless data flow
Collaboratewith stakeholders to define and understand data integration requirements
For senior roles:
Oversee data Governance and data integrity
Mentor in technical integration and troubleshoot to optimise integration performance
Degree in Information Communication( ICT related, Computer Science, Information Systems)
3 Years experience in ETL, SQL and API's, Integration and Analyses
Experience working in a large enterprise with at least a 1000 user headcount and multiproject environment
2-3 years experience in web-based application environments and Microsoft Office professional
Experience definingand implementing product/integration requirements in a Sprint, Scrum/Agile environment
Use of Integration tools such asAzure Data Factory, Informatica, or Talend
Between 3 - 5 Years
Senior Data Integration Engineer
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Job Description:
Job Title: Senior Data Integration Engineer (Salesforce, Databricks & MuleSoft)
Location: Johannesburg (Hybrid)
Employment Type: Contract
Contract Tenure: 6 to 12 months
Job Summary
We are seeking a highly experienced and strategic Senior Data Integration Engineer to architect, build, and manage the data pipelines that power our customer intelligence ecosystem. In this critical role, you will be the subject matter expert responsible for designing and implementing robust integrations between our core platforms: Salesforce Data Cloud, Databricks, and MuleSoft.
You will be responsible for creating a seamless flow of data, enabling advanced analytics, and empowering our business to activate real-time customer insights. The ideal candidate is a hands-on expert who can translate complex business requirements into scalable, secure, and high-performance technical solutions.
Required Skills & Experience
- 6+ years of professional experience
in a data engineering, integration development, or data architecture role. - Proven hands-on experience with MuleSoft:
Demonstrable expertise in designing, building, and managing APIs using the Anypoint Platform (API-led connectivity, DataWeave, connectors). - Strong proficiency in Databricks:
Hands-on experience developing data pipelines using
PySpark
, SQL, Delta Lake, and job orchestration. - Demonstrable experience with Salesforce Data Cloud:
In-depth knowledge of its data model, ingestion methods (Connectors, Ingestion API), identity resolution, segmentation, and activation capabilities. - Expert SQL & Python Skills:
Ability to write complex, efficient SQL queries and Python code for data manipulation and automation. - Solid understanding of data modeling principles
and experience designing and working with ETL/ELT processes. - Experience working with major cloud platforms (
AWS, Azure, or GCP
).
Preferred Qualifications
- Certifications:
- Salesforce Data Cloud Consultant
- MuleSoft Certified Developer / Architect
- Databricks Certified Data Engineer Professional
- Experience with other Salesforce clouds (e.g., Marketing Cloud, Sales Cloud).
- Knowledge of CI/CD and DevOps practices in a data context.
- Familiarity with streaming data technologies (e.g., Kafka).
Senior Data Integration Engineer
Posted today
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Job Description
Job Summary
We are seeking a highly experienced and strategic Senior Data Integration Engineer to architect, build, and manage the data pipelines that power our customer intelligence ecosystem. In this critical role, you will be the subject matter expert responsible for designing and implementing robust integrations between our core platforms: Salesforce Data Cloud, Databricks, and MuleSoft.
You will be responsible for creating a seamless flow of data, enabling advanced analytics, and empowering our business to activate real-time customer insights. The ideal candidate is a hands-on expert who can translate complex business requirements into scalable, secure, and high-performance technical solutions.
Key Responsibilities
- Architect Integration Solutions:
Lead the design and architecture of data integration patterns and end-to-end data flows between source systems, MuleSoft, Databricks, and Salesforce Data Cloud. - Develop MuleSoft APIs:
Design, develop, and deploy reusable, API-led integration solutions using MuleSoft's Any point Platform to ingest data into the ecosystem and to syndicate data to downstream systems. - Build Advanced Data Pipelines in Databricks:
Implement complex data transformation, cleansing, and enrichment pipelines using PySpark and SQL within the Databricks Lakehouse Platform. Prepare and model data for ingestion into Salesforce Data Cloud and for advanced analytics use cases. - Master Salesforce Data Cloud:
Configure and manage Salesforce Data Cloud, including setting up data streams, performing data mapping and harmonization, defining identity resolution rules, and creating insightful calculated metrics. - Enable Data Activation:
Collaborate with marketing, sales, and service teams to build and activate complex audience segments from Salesforce Data Cloud for use in personalization and campaign execution. - Ensure Governance and Performance:
Implement data quality checks, error handling, and performance monitoring across all platforms. Ensure solutions adhere to data governance policies, security standards, and privacy regulations. - Mentorship and Best Practices:
Act as a senior technical resource for the team, establishing best practices for integration and data engineering. Provide guidance and mentorship to junior team members. - Stakeholder Collaboration:
Work closely with business analysts, data scientists, and platform owners to gather requirements and deliver solutions that provide tangible business value.
Required Skills & Experience
- 6+ years of professional experience
in a data engineering, integration development, or data architecture role. - Proven hands-on experience with MuleSoft:
Demonstrable expertise in designing, building, and managing APIs using the Any point Platform (API-led connectivity, Data Weave, connectors). - Strong proficiency in Databricks:
Hands-on experience developing data pipelines using
PySpark
, SQL, Delta Lake, and job orchestration. - Demonstrable experience with Salesforce Data Cloud:
In-depth knowledge of its data model, ingestion methods (Connectors, Ingestion API), identity resolution, segmentation, and activation capabilities. - Expert SQL & Python Skills:
Ability to write complex, efficient SQL queries and Python code for data manipulation and automation. - Solid understanding of data modeling principles
and experience designing and working with ETL/ELT processes. - Experience working with major cloud platforms (
AWS, Azure, or GCP
).
Preferred Qualifications
Certifications:
- Salesforce Data Cloud Consultant
- MuleSoft Certified Developer / Architect
- Databricks Certified Data Engineer Professional
- Experience with other Salesforce clouds (e.g., Marketing Cloud, Sales Cloud).
- Knowledge of CI/CD and DevOps practices in a data context.
- Familiarity with streaming data technologies (e.g., Kafka).
Senior Data Integration/ Analyst
Posted 14 days ago
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Data Integration / Analyst (Senior-Level)
Posted 9 days ago
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Mid-Level Data Integration/Analyst
Posted 14 days ago
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Integration & Data Solutions Specialist
Posted today
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Job Description
Reporting to the Senior IT Manager, the Integration & Data Solutions Specialist will design, implement, and maintain system integrations and data flows across the business. This role combines hands-on technical expertise with data-driven problem solving - building secure, automated connections between platforms (e.g. Flowgear, API's, internal systems) while also supporting data analysis and reporting through Power BI.
Systems Integration
- Develop, maintain, and optise integrations using Flowgear and other middleware platforms.
- Write and maintain scripts (PowerShell, Python, or similar) to automate processes and improve efficiency.
- Build and support secure API's and data pipelines between internal and client systems.
- Troubleshoot integration issues and liaise with vendors when required.
Data & Analytics
- Support data transformation and reporting initiatives across departments.
- Develop dashboards and reports in Power BI for internal teams and clients.
- Assist with data modelling and ensuring data quality within reporting solutions.
- Collaborate with finance and operations teams to deliver actionable insights.
Innovation & Continuous Improvements
- Research and evaluate new technologies for integration and analytics.
- Drive automation and process optimisation across IT operations.
- Contribute to the IT strategy by recommending best practices for data flow and reporting.
Requirements
Education
- Bachelor's Degree in IT, Computer Science, or related field.
Experience
- 3-5 years Experience in system integration, scripting, or related roles.
- Proficiency in Scripting languages (PowerShell, Python, SQL)
- Experience with Power BI of other BI tools.
- Knowledge of API's, JSON, and data structures.
- Strong analytical mindset with problem-solving ability.
- Good communication skills to work across business units.
Work Environment
- Hybrid of integration engineering and data analytics.
- Hands-on technical role with opportunities to contribute to business intelligence initiatives.
- Collaboration with IT, Finance, and Operations teams.
Join TreasuryONE for a rewarding career path