Senior Data Engineer - Qlik

Ntice Sourcing Solutions; Gauteng; On-site; ZAR 800,000 - 1,000,000; Full time

Job summary

A leading data solutions provider in Gauteng seeks a Senior Data Engineer to architect robust data solutions and drive analytics initiatives. The ideal candidate has extensive experience with Talend and Microsoft Fabric, and skills in data visualization using Qlik Sense. Responsibilities include developing data pipelines, collaborating with stakeholders, and enforcing data quality best practices.

Qualifications

• 6+ years of experience in data engineering with proven delivery of complex data projects.
• Advanced user of Qlik Sense for both backend scripting and front-end development.
• Hands-on experience with Microsoft Fabric, including Lakehouse, Pipelines, and Power BI integration.

Responsibilities

• Architect, build, and optimize ETL/ELT pipelines using Talend.
• Develop dashboards and visualizations using Qlik Sense and integrate them with enterprise data sources.
• Collaborate with data analysts, scientists, and business stakeholders to define data models.

Skills

ETL/ELT Tools: Talend

BI & Data Visualization: Qlik Sense

Programming: Python

Data Warehousing: Snowflake

Cloud Platforms: Azure

Data Governance: Data Quality

DevOps/CI-CD: Git

Education

Bachelor's/Master's in Computer Science

Tools

QlikView

Microsoft Fabric

Spark

Job description

Overview

We are seeking a Senior Data Engineer with deep hands-on experience in Qlik, Talend, and Microsoft Fabric to lead data integration, modeling, and visualization initiatives. You will architect robust data pipelines, design semantic models, and drive real-time analytics using Microsoft's latest Fabric ecosystem. Your goal: deliver performant, scalable, and governed data solutions.

Key Responsibilities

• Architect, build, and optimize ETL/ELT pipelines using Talend
• Develop dashboards and visualizations using Qlik Sense and integrate them with enterprise data sources
• Lead data ingestion and transformation in Microsoft Fabric (Data Factory Pipelines, Lakehouse, OneLake)
• Collaborate with data analysts, scientists, and business stakeholders to define data models and analytics use cases
• Enforce data quality, lineage, and governance best practices
• Mentor junior engineers and establish best practices for data development lifecycles
• Partner with DevOps teams for deployment automation and CI/CD of data assets

Key Skills & Technologies

• ETL/ELT Tools: Talend (Open Studio & Data Integration)
• BI & Data Visualization: Qlik Sense / QlikView
• Modern Data Platforms: Microsoft Fabric (OneLake, Lakehouse, Pipelines)
• Programming: Python, SQL, Spark
• Data Warehousing: Snowflake, Synapse, Redshift, BigQuery
• Cloud Platforms: Azure (preferred), AWS, GCP
• Data Governance: Data Quality, Lineage, Cataloging
• DevOps/CI-CD: Git, Azure DevOps, Jenkins

Qualifications

• Bachelor's/Master's in Computer Science, Data Engineering, or related field
• 6+ years of experience in data engineering with proven delivery of complex data projects
• Proficiency in Talend (both open source and enterprise)
• Advanced user of Qlik Sense for both backend scripting and front-end development
• Hands-on experience with Microsoft Fabric, including Lakehouse, Pipelines, and Power BI integration
• Strong SQL, performance tuning, and data modeling skills
• Experience in data mesh, data fabric, or enterprise-scale data lake

Nice to Have

• Certifications in Qlik, Talend, or Microsoft Azure/Fabric
• Experience with streaming technologies (Kafka, Azure Event Hubs)
• Familiarity with DataOps and MLOps