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Jobs at Snap Analytics (Now Hiring) — 2 open

Snap Analytics logoSnap Analytics

Senior Data Platform Consultant

Cape Town, Western Cape, South Africa · Hybrid

Senior+

Senior Data Platform Consultant Application Deadline: 23 July 2026 Department: Delivery Employment Type: Full Time Location: Cape Town, South Africa Reporting To: Paul Morgan Description How to apply: We believe great wo…

Skills: Data Engineering, SQL, AWS, Azure, Data Modelling

Snap Analytics logoSnap Analytics

Business Development Representative

Bristol, England, United Kingdom · Hybrid

Mid level

Business Development Representative Application Deadline: 10 July 2026 Department: Sales & Marketing Employment Type: Full Time Location: Bristol, UK Reporting To: Raj Shah Description Please note: We use banding codes (…

Skills: Outbound Prospecting, Lead Qualification, Salesforce, Multi-channel Outreach, Enterprise Sales

Snap Analytics logo

Senior Data Platform Consultant

Snap Analytics

Cape Town, Western Cape, South Africa • Hybrid

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Senior+

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  • Full-time
  • Posted 4d ago
  • Apply by Jul 23
  • ~40 hrs/week

Responsibilities

The role involves designing and deploying scalable data pipelines and machine learning models to turn complex datasets into business insights. Responsibilities include collecting and cleaning structured and unstructured data while collaborating with stakeholders to meet business needs.

Requirements

Candidates need at least 8 years of data engineering experience, preferably in consulting, with strong SQL and cloud platform skills. Proficiency in data modelling and experience with production deployments are essential.

Full job description

Senior Data Platform Consultant

Application Deadline: 23 July 2026

Department: Delivery

Employment Type: Full Time

Location: Cape Town, South Africa

Reporting To: Paul Morgan



Description

How to apply:

We believe great work takes time, and so does a great job application.

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 role’s focus
  • A thoughtful response to any application questions
  • A resume that highlights both what you did and why it mattered
If you’re 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…
We’re 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, we’re looking specifically for people with established credentials in data engineering in any technology - you’ll need to know stars, snowflakes and possibly vaults. You’ll have to be familiar with medallions, lakehouses, pipelines, repos and CI/CD. You’ll also be expected to have an opinion on where Generative AI fits into a modern data engineering practice.


You’ll 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 you'll 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 3–6 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 you'll need to succeed:

We’re 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 you’re looking for:

· A fully remote position (we’ve 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

Related keywords

DatabricksSnowflakeAWSAzureSQLGenerative AICI/CDLakehouseMedallion ArchitectureData PipelinesMachine LearningRegressionClassificationSAPData ModellingFMCG

About Snap Analytics

LinkedInVisit site

From platform strategy to production-ready AI. We make data make sense.

Industry
Information Technology & Services
Company size
51-200 employees
Founded
2019
Headquarters
Bristol, England
LinkedIn followers
7,875

We help ambitious organisations turn complex, fragmented data into AI‑ready foundations that deliver real business impact. By unifying, modernising and activating data, we move clients beyond strategy into production-ready AI that actually works. We partner with enterprise organisations navigating complex data landscapes who are looking to unlock more value from their data and accelerate their AI ambitions. Our approach cuts through data noise to build a single, trusted foundation where clean, governed data powers real-time workflows, intelligent automation and measurable outcomes. From defining the right platform and roadmap, to engineering robust data foundations and activating high-value AI use cases, we help organisations turn data into a true competitive advantage. What we can help you with: Enterprise Data Modernisation, SAP Ecosystem Data Modernisation, Snowflake Modernisation & Migration Strategy, Databricks Lakehouse Modernisation & Migration, Data Engineering and Architecture, Warehouse Migration, Integration and Interoperability, Preparation and Enrichment, Data Science and Machine Learning, Advanced Analytics and Visualisation, AI and Data Ops Our pre-built proprietary frameworks, deep real-world expertise and embedded client delivery culture will support your teams to meet their data goals. Your journey starts where you are, whether you need modular services that bolt on independently or as part of a full-scale transformation.

Offices: Runway East, 1 Victoria Street, Avon Street, Bristol, England BS1 6AA, GB · Survey No. 83, N Main Road, Koregaon Park Road, Mundhwa, 18th Floor, B Wing, AP81,, Pune, Maharashtra 411036, IN · 51 Gogosoa Street, Venture Workspaces, Building 4, Cape Town, Western Cape 7925, ZA

Data WarehousingAnalyticsBusiness IntelligenceAWSMatillionSnowflakeSigmaSAPData Platform StrategyAI
View all jobs at Snap Analytics

About Snap Analytics

LinkedInVisit site

From platform strategy to production-ready AI. We make data make sense.

Industry
Information Technology & Services
Company size
51-200 employees
Founded
2019
Headquarters
Bristol, England
LinkedIn followers
7,875

We help ambitious organisations turn complex, fragmented data into AI‑ready foundations that deliver real business impact. By unifying, modernising and activating data, we move clients beyond strategy into production-ready AI that actually works. We partner with enterprise organisations navigating complex data landscapes who are looking to unlock more value from their data and accelerate their AI ambitions. Our approach cuts through data noise to build a single, trusted foundation where clean, governed data powers real-time workflows, intelligent automation and measurable outcomes. From defining the right platform and roadmap, to engineering robust data foundations and activating high-value AI use cases, we help organisations turn data into a true competitive advantage. What we can help you with: Enterprise Data Modernisation, SAP Ecosystem Data Modernisation, Snowflake Modernisation & Migration Strategy, Databricks Lakehouse Modernisation & Migration, Data Engineering and Architecture, Warehouse Migration, Integration and Interoperability, Preparation and Enrichment, Data Science and Machine Learning, Advanced Analytics and Visualisation, AI and Data Ops Our pre-built proprietary frameworks, deep real-world expertise and embedded client delivery culture will support your teams to meet their data goals. Your journey starts where you are, whether you need modular services that bolt on independently or as part of a full-scale transformation.

Offices: Runway East, 1 Victoria Street, Avon Street, Bristol, England BS1 6AA, GB · Survey No. 83, N Main Road, Koregaon Park Road, Mundhwa, 18th Floor, B Wing, AP81,, Pune, Maharashtra 411036, IN · 51 Gogosoa Street, Venture Workspaces, Building 4, Cape Town, Western Cape 7925, ZA

Data WarehousingAnalyticsBusiness IntelligenceAWSMatillionSnowflakeSigmaSAPData Platform StrategyAI
View all jobs at Snap Analytics

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