Data Engineer – Build a Central Data Platform (In-Office)

Liquid Thought

Somerset West

On-site

ZAR 550,000 - 900,000

Full time

2 days ago
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Job summary

Liquid Thought, a data-driven property management software business, is seeking a Data Engineer to design, build and maintain the data foundation that connects products, CRM, finance systems and operations to trusted reporting and analytics.

You may use Snowflake or a comparable cloud data platform, based on the final architecture decision; you will work across Technology, Product, Finance, Sales, Marketing, Customer Success, Operations and People to ensure tested, documented, maintainable

Qualifications

  • 4 to 6 years of practical experience in data engineering or related roles.
  • Hands-on production experience with Snowflake or comparable cloud data platform.
  • Strong SQL skills plus automation, testing and production support.
  • Experience designing and supporting ETL/ELT pipelines and API integrations.
  • Strong relational and dimensional modelling including CRM data models.

Responsibilities

  • Build and maintain a central data platform connecting product, CRM, finance, and ops.
  • Develop integrations using SQL, APIs, Python and cloud services.
  • Design scalable data schemas for shared company and CRM data.
  • Implement incremental loads, testing, logging, retries, and monitoring.
  • Map data flows across end-to-end business processes.
  • Define data contracts, owners, business rules, and reconciliation points.
  • Prepare trusted datasets and dashboards for reporting.
  • Coordinate internal and external delivery, track progress and risk.

Skills

SQL
ETL/ELT pipelines
Snowflake
CRM data models
Git
BI tools
Data governance
POPIA

Education

Relevant degree or diploma

Tools

dbt
AWS data services

Job description

Liquid Thought, a data-driven property management software business, is seeking a Data Engineer to design, build and maintain the data foundation that connects products, CRM, finance systems and operations to trusted reporting and analytics.

You may use Snowflake or a comparable cloud data platform, based on the final architecture decision; you will work across Technology, Product, Finance, Sales, Marketing, Customer Success, Operations and People to ensure tested, documented, maintainable

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