IQbusiness is the largest independent management consulting firm in South Africa. Since 1998, we have helped our clients solve their problems by providing innovative, fast and cost-effective solutions. Our methods and frameworks, drawn from our 20 years of international and local experience, allow us to deliver client value early and continuously
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iqbusiness is seeking to employ a Data Engineer on a 12-month contract to collaborate with an international partner from our offices in Welgemoed, Cape Town, Northern Suburbs. This is a hybrid role (3 days on-site; 2 days WFH).
As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and cloud native data platforms.
You will play a key role in enabling analytics and data science teams by ensuring high-quality, reliable, and well-modelled data in Snowflake, while leveraging dbt for transformation, automation, and governance.
You will collaborate closely with cross-functional stakeholders to deliver efficient, modern data solutions aligned with business needs.
Key Responsibilities:
Design, build, and optimise data pipelines.
Develop and maintain dbt models following best practices (modularity, testing, documentation, lineage).
Monitor and manage Snowflake environments, including warehouses, schemas, role-based access, and performance tuning.
Ensure data quality, reliability, and observability across all transformations.
Work with analytics, product, and data science teams to understand requirements and deliver well-modelled datasets.
Automate deployments and workflows using Git driven processes.
Optimise cost and performance within Snowflake (warehousing strategy, query tuning, storage management).
Maintain documentation and share technical knowledge with the broader team.
Minimum Requirements:
Bachelor's in Computer Science, Information Systems, Engineering, Data Science, or a related field
3+ years of experience as a Data Engineer or in a similar data-focused role
Strong hands-on experience with Snowflake (mandatory)
Strong hands-on experience with dbt (mandatory)
Proficiency in SQL and Python
Experience designing and operating data pipelines in cloud environments (Azure, AWS, or GCP)
Experience with version control (Git) and CI/CD workflows
Solid understanding of data modelling (Kimball/Dimensional)
Skills Required:
Ability to work with end users to define requirements and identify solutions
Strong analytical and problem-solving skills
Excellent visualisation skills
Excellent communication skills
A mindset focused on quality, reliability, and continuous improvement
Ability to prioritise tasks, solve complex problems, and drive process improvement
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