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Senior Data Platform Consultant
Job Location:
Job Location:
Cape Town - South Africa
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
11 July 2026 (30+ days ago)
Posted:
Application Deadline:
8 October 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
How to apply:
We believe great work takes time and so does a great job application.
A few application tips:
A few application tips:
We want to help you put your best foot forward. Here are a few things we look for:
- Clear specific examples of your work and impact
- Relevant experience aligned with the roles focus
- A thoughtful response to any application questions
- A resume that highlights both what you did and why it mattered
If youre unsure whether your background is the perfect fit we still encourage you to apply. We value potential and growth just as much as experience.
Why this role exists
Were expanding our data engineering team in South Africa to support a growing portfolio of data-driven projects including a major engagement with one of our largest global FMCG clients focused on survey and forecasting data.
Why this role exists
Were expanding our data engineering team in South Africa to support a growing portfolio of data-driven projects including a major engagement with one of our largest global FMCG clients focused on survey and forecasting data.
Although our focus at Snap is Databricks and Snowflake were looking specifically for people with established credentials in data engineering in any technology - youll need to know stars snowflakes and possibly vaults. Youll have to be familiar with medallions lakehouses pipelines repos and CI/CD. Youll also be expected to have an opinion on where Generative AI fits into a modern data engineering practice.
Youll be joining a collaborative fast-paced environment where data is at the heart of decision-making. The work blends technical analysis data engineering and strategic consulting turning complex datasets into meaningful insights that drive business outcomes.
What youll be doing:
Your responsibilities will include:
Collecting cleaning and analysing structured and unstructured datasets (including big and text data)
Designing building and deploying machine learning models (regression classification)
Applying statistical and mathematical techniques to solve real-world problems
Working with cloud platforms to implement scalable solutions
Collaborating with stakeholders to understand business needs and communicate findings clearly
Supporting data engineering tasks such as data modelling and preparation
Utilising Gen AI to accelerate engineering
In your first 36 months success might look like:
Building a strong capability in Databricks or Snowflake if these tools are new to you
Designing delivering and deploying pipelines for data migration projects
Leading small teams with defined outcomes
Demonstrating strong critical thinking in architectural approaches testing frameworks and choice of analytics technology
Building trust and strong working relationships with internal and external stakeholders
What youll need to succeed:
Were looking for someone who brings a mix of experience curiosity and collaboration.
You might be a great fit if you have:
A minimum of 8 years of data engineering ideally in a consulting environment
Strong SQL skills and familiarity with AWS and Azure
A solid foundation in data modelling
Experience deploying solutions into production and explaining your approach
Excellent communication skills and a proactive accountable mindset
Experience working with SAP datasets is a real plus
This role might not be the right fit if youre looking for:
A fully remote position (weve found hybrid working in Cape Town to be most effective)
Highly structured tasks - this role requires comfort with ambiguity and self-direction
A focus solely on one technology or discipline - we are looking to build well-rounded full-stack data consultants
Required Experience:
Senior IC
About Company
Transform your data into an AI-ready stack. Expert data engineering, platform modernisation & SAP integration with Snowflake, Databricks & AWS.
