Bachelor’s degree in computer science engineering or equivalent experience, with proven experience in data engineering, analytics engineering, or a similar role.
7+ years data engineering experience within the Microsoft platform.
Microsoft Fabric and Azure certifications are a plus.
Hands-on experience designing, building, and maintaining scalable data pipelines and data platforms.
Understanding of data governance, data quality, security, and metadata management best practices.
Solid analytical and problem-solving skills with the ability to troubleshoot complex data issues.
Ability to work collaboratively with business stakeholders, architects, and cross-functional teams to deliver data products.
A proactive mindset with a focus on continuous improvement, innovation, and delivering business value through data.
Experience developing and supporting data products, transforming business requirements into trusted, governed, and reusable datasets that drive reporting, analytics, and operational decision-making.
Understanding of data product lifecycle management,



including data ownership, quality, metadata, lineage, and governance best practices

Responsibilities:
Design and deliver end to end data solution across Microsoft Azure and Fabric platforms.
Build and maintain scalable, high performance data pipelines using Azure Data Factory and Fabric.
Engineer Microsoft Fabric Lakehouse architectures using medallion layers (Bronze, Silver, Gold).
Design and implement data models and data products aligned to business needs.
Develop and optimise data transformations using PySpark/ Spark within Microsoft Fabric Notebooks.
Integrate data from on-premise, Microsoft Azure and SaaS platforms.
Ensure data quality, performance, governance and reliability across all data products.
Implement data operations practices including CI/CD, monitoring and version control.

Skills:
Robust experience with Azure Data Factory and up-to-date data integration patte

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