Job Summary

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.

Requirements
Robust experience with Azure Data Factory and contemporary data integration patterns through native connections, APIs, Python scripts, etc.
Solid proficiency in SQL and data modelling for analytics-ready solutions.
Experience with Azure cloud data platforms and modern data architectures.
Knowledge or experience of Microsoft Fabric, including lakehouse / warehouse concepts and Power BI integration.
Experience with PySpark / Spark-based data processing (e.g., Databricks or Fabric).
Understanding of DataOps principles, including CI/CD, automated testing, monitoring, and data lifecycle management.




Experience designing medallion (Bronze/Silver/Gold) architectures, lakehouse patterns, and batch/near-real-time processing.

Competencies
Strategic agility
Openness to Learning
Business acumen
Communications skills
Cultural awareness
Ethics & Values
Compassion
Self-Development
Priority Setting
Drive for Results
Organizational Skills

Qualifications
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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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