Fresh Openings at Ntice Sourcing Solutions

Job Description

• 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

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Job Description

• A Mining house based in the Limpopo region is looking for an experienced Mine Manager 3.1a Appointment 

Duties:

• Ensuring the mine is developed, constructed and equipped to provide a safe operational and healthy working environment, on time and within budget
• Ensure that all aspects of Mine Health and Safety Act are adhered to
• Developing the necessary systems, processes, and structures to enable successful business operations
• Effective management of contractors
• Responsible for shaft sinking and construction of the mine

Qualifications/Requirements:

• A BSc Mining Engineering or BTech Mining Engineering, related field or the equivalent combination of education and experience
• Blasting Certificate
• Mine Manager certificate of competence (MMC)
• Experience in hard rock, mechanized, platinum mining, long hole stoping, drift and fill and paste fill

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Job Description

• Our Client is on a mission to transform the way businesses harness data to drive smarter decisions. They are a fast-growing IT Services company and are looking for a Senior Data Engineer to help scale their data infrastructure and build world-class data solutions that power the heart of their business

What You'll Do

• As a Senior Data Engineer, you'll be a key contributor to the design, development, and optimization of data pipelines and platforms. You'll work closely with data scientists, analysts, and software engineers to ensure data quality, accessibility, and reliability

Key Responsibilities

• Architect, build, and maintain robust and scalable data pipelines (batch and real-time)
• Develop and optimize data models and data lake/warehouse solutions
• Work with big data technologies (Spark, Kafka, etc.) and cloud services (AWS, GCP, or Azure)
• Implement data governance, security, and compliance best practices
• Mentor junior data engineers and help define best engineering practices
• Collaborate with cross-functional teams to understand data needs and deliver solutions that support business goals

Required Skills & Experience

• 5+ years of experience in data engineering or related fields
• Strong proficiency in Python, SQL, and distributed data systems
• Experience with modern data stack tools (e.g., Airflow, dbt, Snowflake, Redshift, BigQuery)
• Deep knowledge of ETL/ELT processes, data warehousing, and data lake architectures
• Familiarity with CI/CD pipelines and version control (e.g., Git)
• Strong communication skills and the ability to work independently or as part of a team

Nice to Have:

• Experience with ML pipelines and MLOps
• Knowledge of data privacy regulations (GDPR, HIPAA, etc.)
• Prior experience in [your industry, e.g., fintech, healthtech, e-commerce]