22 Etl Architect jobs in South Africa
Data Integration
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Job Description
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
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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
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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
Data Architect
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Company Description
WesBank is a leading destination for asset finance, serving individuals and businesses with custom finance solutions and quality service. With over four decades of evolution, WesBank has pioneered innovations like digital contract signing through iContract and dealer floor finance centers. The company focuses on customer-centric finance and insurance solutions, partnering with major vehicle brands and equipment suppliers. WesBank has been consistently recognized as the top vehicle and asset finance provider and has received accolades for consumer education in debt management.
Role Description
This is a full-time hybrid role for a Digital Solution Architect located in Johannesburg, with some work from home allowed. The Digital Solution Architect will be responsible for designing and implementing innovative solution architectures, consulting with various stakeholders, driving software development projects, and integrating systems. The role involves analyzing and optimizing business processes to ensure efficient and effective solutions for clients.
Qualifications
- Solution Architecture skills
- Consulting experience
- Software Development proficiency
- System Integration capabilities
- Business Process analysis and optimization skills
- Excellent problem-solving and analytical skills
- Strong communication and collaboration abilities
- Bachelor's degree in Computer Science, Information Technology, or related field
- Experience in the asset finance or financial services industry is a plus
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Data Architect
Recruiter:
Salix Recruitment
Job Ref:
JHB /JK
Date posted:
Sunday, October 19, 2025
Location:
Johannesburg, South Africa
Salary:
SUMMARY:
In search of a skilled Data Architect in JHB
POSITION INFO:
A Data Architect designs and manages an organisation's data ecosystem, ensuring seamless data flow to drive decisions and innovation.
You create frameworks for storing, accessing, and utilising data efficiently, focusing on scalability, security, and organisation. From optimising data pipelines to building robust databases, your role is essential for turning raw data into actionable insights.
As a strategist and problem-solver, you collaborate with teams to align technical solutions with business needs. You integrate new technologies, establish governance, and future-proof data infrastructure, ensuring the organisation thrives in a data-driven world.
Being a Data Architect means building the foundation for smarter, faster, and more informed decisions, lighting the way forward for the business.
Reach out to:
Duties:
- Design and implement robust data architectures to support the organisation's business objectives, ensuring scalability, security, and performance.
- Develop and maintain data models, data integration frameworks, and storage solutions to facilitate seamless data flow and accessibility.
- Collaborate with cross-functional teams to understand business needs and translate them into data solutions and strategies.
- Establish and enforce data governance standards, including data quality, security, and compliance.
- Monitor and optimise data systems to ensure peak performance and reliability.
- Evaluate emerging technologies and trends to recommend improvements or innovations in data management and architecture.
- Create and maintain technical documentation for data architecture, processes, and systems.
Job Experience & Skills Required:
Qualifications:
- Matric (Grade 12)
- Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
- An Honour's degree in Data Management, Analytics, or Business Administration is advantageous.
- Certifications such as AWS Certified Data Analytics, Google Professional Data Engineer, or Microsoft Certified Azure Data Engineer are a plus.
Experience:
- 5+ years of experience in data architecture, data engineering, or related roles.
- Proven track record of designing and implementing large-scale data solutions.
- Hands-on experience with data governance, metadata management, and data cataloguing tools.
- Experience leading data-centric projects and mentoring technical teams is preferred.
Skills & Competencies:
- Proficient in data modelling, database design, and data warehousing concepts.
- Expertise in SQL and database technologies (e.g., Oracle, MySQL, PostgreSQL).
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud and their respective data services.
- Strong understanding of ETL processes, data integration tools (e.g., Informatica, Talend), and Big Data technologies (e.g., Hadoop, Spark).
- Knowledge of data governance frameworks and regulatory compliance requirements.
- Excellent problem-solving skills and the ability to work with complex datasets.
- Strong communication and collaboration skills to engage with technical and non-technical stakeholders effectively.
- Strategic thinker with attention to detail and a focus on delivering actionable insights.
If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.