Hybrid Data Solutions Engineer — AI/ML & Lakehouse Focus

Entelect; Gauteng; On-site; ZAR 720,000 - 960,000; Full time

Benefits offered by this job

Twice-yearly salary increases

Employee wellness programs

Professional development rewards

Leadership support and regular reviews

Job summary

Entelect is seeking an Intermediate Data Solutions Engineer to join a multidisciplinary team focused on data engineering, analytics, and solutions delivery. The role emphasizes delivering robust data pipelines and advanced analytics while collaborating with solution architects.

The candidate will work in a hybrid setup, with regular alignment meetings, one‑on‑ones with leadership, and opportunities to influence data platforms across enterprise projects.

Qualifications

• Bachelor’s degree in IT, Engineering, or related field.
• Minimum 4 years’ experience as a data solutions engineer in an enterprise environment.
• Proficiency in software engineering fundamentals and clean code practices.
• Experience delivering with cross-functional teams to deliver a product.
• Strong ability to model and analyse data.
• Solid understanding of data engineering methodologies.
• Good understanding of visualisation best practices.
• Interest in modern analytics solutions like Lakehouse, data mesh, data fabric.

Responsibilities

• Delivery: design and implement data pipelines and analytics solutions.
• Wrangling data from multiple sources into reliable assets.
• Collaborate with Solution Architects on cloud, hybrid, and on‑prem solutions.
• Deliver advanced analytics using AI/ML and data science where applicable.
• Maintain data lineage and metadata for governance.

Skills

Data modeling

Python

SQL

Data engineering

Analytics

Cloud data solutions

Education

Bachelor's degree in IT or Engineering

Tools

Power BI

Microsoft Fabric

Amazon QuickSight

Grafana

Job description

Entelect is seeking an Intermediate Data Solutions Engineer to join a multidisciplinary team focused on data engineering, analytics, and solutions delivery. The role emphasizes delivering robust data pipelines and advanced analytics while collaborating with solution architects.

The candidate will work in a hybrid setup, with regular alignment meetings, one‑on‑ones with leadership, and opportunities to influence data platforms across enterprise projects.