Intermediate Data Engineer - Hybrid (59500) at Ntice Sourcing Solutions

Job Description

• An innovative and rapidly expanding Tech company is inviting applications from qualified Data Engineer candidatesto take up a permanent role at our Umhlanga based Company.

About The Virtual Agent

• The Virtual Agent (TVA) is a fast-growing PropTech company transforming the real estate industry through data, technology, and intelligent digital solutions. We build SaaS products that empower estate agencies, agents, and property professionals to work smarter, make better decisions, and grow their businesses.
• At TVA, our people matter. We offer a collaborative, flexible, and performance-driven environment where innovation is encouraged, ideas are heard, and impact is real.

The Role

• We are looking for a Data Engineer (Intermediate level) to take ownership of our data intelligence layer and help move the business beyond reporting into decision-ready insights.

This role is ideal for a data professional who enjoys turning complex, messy data into structured models, trusted metrics, and dashboards that clearly answer:

• What's happening?
• Why does it matter?
• What should we do next?

You will work closely with product, technology, and business teams to build scalable data models, intelligent reporting, and actionable insights for both internal teams and customers.

Key Responsibilities

• Design and build scalable data models that support business intelligence and decision-making
• Develop and maintain Power BI dashboards that deliver clear, actionable insights
• Define KPI frameworks and reporting logic aligned to business outcomes
• Write and optimise complex SQL queries, views, and stored procedures
• Ensure data accuracy through validation, reconciliation, and quality checks
• Use Python to automate data preparation, transformations, and recurring reporting
• Translate business questions into measurable metrics and insight-driven outputs
• Contribute to data documentation, governance, and metric consistency

What We're Looking For

Education and Experience

• Bachelor's degree in Data Science, Computer Science, Information Systems, Engineering, or related field
• 3-5 years' experience in a Data Engineer, BI Engineer, or Analytics Engineer role
• Experience working with business stakeholders in a commercial or product-led environment
• Strong understanding of agile methodologies and product lifecycle management

Technical Skills

• Advanced SQL (joins, CTEs, window functions, optimisation)
• Strong analytical insight and reporting capability (Power BI, DAX, Power Query)
• Working knowledge of Python for automation and analysis
• Solid understanding of data modelling concepts (facts, dimensions, KPIs)

Advantageous experience:

• Exposure to ETL/ELT pipelines
• Experience with cloud platforms (Azure, AWS, or GCP)
• API integrations or non-relational databases
• Familiarity with Git and structured release processes