Senior Data Fabric Data Engineer

Introduction

Senior Data Fabric Data Engineer

Johannesburg (Hybrid) - Midrand | Full-time, Permanent | Senior Level

About the Opportunity

An established data and analytics consulting environment is seeking a Senior Data Fabric Data Engineer to lead the design, build and delivery of modern, end-to-end data solutions across multiple client engagements. The role has a strong Microsoft technology focus, particularly Microsoft Fabric, Azure and Power BI, and combines hands-on engineering with solution architecture, client engagement and technical leadership.

Role Overview

You will take ownership of the technical architecture of client data platforms, from ingestion and Bronze/Silver/Gold Lakehouse and Warehouse layers through to semantic models supporting Power BI. The role includes production implementations, legacy BI migrations, proof-of-concept initiatives, ongoing platform support and mentoring of junior and mid-level engineers.

Duties & Responsibilities

Key Responsibilities

• Design and build end-to-end Microsoft Fabric solutions, including Lakehouses, Warehouses, Data Pipelines, Dataflows Gen2 and Notebooks.
• Architect medallion (Bronze/Silver/Gold) data models and define ingestion, transformation and curation standards.
• Build and optimise ingestion pipelines from sources such as SQL Server, Azure SQL, REST APIs, Excel/SharePoint and ERP/finance systems.
• Develop semantic models using DirectLake, Import, DirectQuery and composite modelling to support Power BI and self-service analytics.
• Lead migrations from legacy BI and ETL platforms such as QlikView/Qlik Sense, Synapse, SSIS and SSRS to modern cloud architectures.
• Write and optimise T-SQL, PySpark and Python for transformation, data quality and performance tuning.
• Implement CI/CD, source control, workspace governance and environment promotion using Azure DevOps or GitHub Actions.
• Establish monitoring, alerting, data validation, security and governance practices.
• Lead client requirements workshops, translate business needs into technical designs and document current/future-state architectures.
• Lead technical workstreams and proof-of-concept implementations, support critical platform issues and mentor less experienced engineers.

Desired Experience & Qualification

Required Skills & Technology

• Microsoft Fabric: Lakehouse, Warehouse, Pipelines, Dataflows Gen2 and Notebooks.
• Azure technologies including Azure Synapse Analytics, Azure SQL, Azure Data Lake and Azure Data Factory.
• Strong T-SQL, PySpark, Python and Spark SQL skills.
• Power BI, DAX, data modelling and semantic modelling.
• DirectLake, Import/DirectQuery and composite models.
• Delta Lake, SSIS, Power Query (M) and SQL Server.
• Azure DevOps or GitHub Actions, Git-based source control and CI/CD.
• Data platform security, access controls, governance, monitoring and backup/recovery concepts.

Experience & Qualifications

• 5+ years' experience in data engineering, BI development or data warehousing, ideally in a client-facing consulting environment.
• Hands-on production experience delivering Microsoft Fabric solutions, including Lakehouse/Warehouse builds, pipelines and semantic modelling.
• Experience migrating legacy BI/ETL platforms to modern cloud architectures.
• Experience leading technical workstreams or small teams and mentoring junior engineers.
• Bachelor's degree or diploma in Computer Science, Information Systems, Data Science or a related field (NQF 6 or higher).

Certifications & Advantageous Experience

Certifications

Microsoft Certified: Fabric Analytics Engineer Associate - required or in progress.

• Microsoft Certified: Azure Data Engineer Associate - required or in progress.
• Microsoft Certified: Power BI Data Analyst Associate - advantageous.
• Microsoft Certified: Azure Data Fundamentals - minimum baseline where the above certifications are still in progress.

Advantageous Experience

• Databricks and exposure to AWS or GCP.
• Machine learning workflows on Microsoft Fabric or data science tooling such as Python or R.
• SQL Server high-availability and disaster-recovery concepts.
• Agile/Scrum or Kanban delivery methods.
• Consulting or professional-services experience managing multiple concurrent client engagements.

Personal Attributes

• Strong client-facing communication and stakeholder-management skills.
• Confident running workshops and presenting technical or architecture decisions.
• Self-motivated problem-solver who takes ownership from design through production support.
• Structured and methodical, with strong technical documentation habits.
• Collaborative and comfortable mentoring less experienced team members.
• Able to manage multiple client engagements and changing priorities.
   

This is an excellent opportunity for a senior data professional who wants to combine hands-on Microsoft Fabric engineering with architecture, client engagement and technical leadership.