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Microsoft Fabric Specialist / Data Engineer at Praesignis (Pty) Ltd – Gauteng | Jobyssey

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Microsoft Fabric Specialist / Data Engineer

Microsoft Fabric Specialist / Data Engineer

Praesignis (Pty) Ltd · Gauteng, South Africa · 4 weeks ago

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Category: Data engineering
Experience: 5+ years

analytics azure azure-data-factory ci-cd cloud data-analytics data-engineering data-governance data-ingestion data-modeling data-pipelines

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Data engineering jobs Remote Data engineering jobs

data-warehousing

microsoft-fabric

A data engineer role centred on Microsoft Fabric: designing and maintaining Fabric data solutions, building ingestion/transformation pipelines (OneLake, Lakehouse, Fabric Warehouse, Data Pipelines, Dataflows Gen2), developing data models, and supporting Power BI semantic models using SQL and PySpark, while engaging with business stakeholders.

Responsibilities

Design, develop and maintain Microsoft Fabric data solutions.
Build data ingestion, transformation and integration pipelines.
Work with OneLake, Lakehouse and Fabric Warehouse.
Develop and optimise Data Pipelines and Dataflows Gen2.
Use SQL and, where applicable, PySpark/Spark.
Develop data models and support Power BI/semantic models.
Monitor, troubleshoot and optimise data pipelines and workloads.
Ensure data quality, performance and reliability.
Translate business requirements into technical data solutions.
Work with data, BI and business stakeholders.

Requirements

5+ years’ experience in Data Engineering, BI, Data Analytics or a related field.
Strong hands‑on Microsoft Fabric experience.
Strong SQL skills.
Experience with OneLake, Lakehouse and Fabric Warehouse.
Experience with Fabric Data Pipelines and Dataflows Gen2.
Strong understanding of data modelling, ETL/ELT and data warehousing.
Power BI experience.
Experience with Azure/cloud data platforms.
Ability to work independently and engage with stakeholders.

Certification – Essential

Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)

Advantageous

DP-203 Azure Data Engineer certification.
PySpark/Spark.
Azure Data Factory, ADLS or Synapse.
Data governance and security.
CI/CD and DevOps experience.

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