MS Fabric Engineer

Key Responsibilities
Data Engineering Development

• Build and maintain data ingestion pipelines using Data Factory, Dataflows Gen2, Pipelines, and event driven patterns.
• Develop Lakehouse structures using Delta Lake, Notebooks (PySpark), and medallion architecture.
• Implement Fabric Data Warehouse objects (tables, stored procedures, views, SQL endpoints).
• Create and optimize semantic models for Power BI, including Direct Lake datasets.
• Develop KQL databases and real time analytics components where required.

Operational Delivery

• Implement CI/CD pipelines for Fabric using Git integration and DevOps best practices.
• Monitor, troubleshoot, and optimize Fabric workloads for performance and cost.
• Ensure data quality through validation rules, profiling, and automated checks.
• Support production deployments, incident resolution, and environment management.

Collaboration Stakeholder Support

• Work with Hiscox business teams to understand data requirements and translate them into technical solutions.
• Collaborate with Solution Architects to ensure alignment with overall platform design.
• Provide technical guidance to analysts, report developers, and data consumers.

Governance, Security Compliance

• Apply data governance standards using Purview integration, lineage, and metadata management.
• Implement access controls, workspace security, and data protection policies.
• Ensure compliance with insurance regulatory requirements (e.g., GDPR, Solvency II, IFRS 17).

Continuous Improvement

• Contribute to reusable frameworks, templates, and accelerators for Fabric engineering.
• Stay updated with new Fabric features and recommend adoption where beneficial.
• Participate in code reviews, design sessions, and engineering best practice forums.

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Required Skills Experience
Technical Expertise

• 4–8 years of experience in data engineering, with strong Azure analytics background.
• Hands on experience with Microsoft Fabric, including:

o Data Engineering (Lakehouse, Notebooks, Pipelines)
o Data Factory (Dataflows Gen2, Pipelines)
o Data Warehouse (SQL Endpoint, Direct Lake)
o Power BI (datasets, DAX, semantic models)
o OneLake Delta Lake

• Strong skills in SQL, PySpark, Python, and ETL/ELT development.
• Experience with Azure services such as ADLS, ADF, Databricks, Synapse, Event Hub, and Key Vault.

Domain Knowledge

• Experience working with insurance data (policies, claims, pricing, exposure, risk) is highly desirable.
• Understanding of regulatory reporting (Solvency II, IFRS 17) is a plus.

Soft Skills

• Strong problem solving and analytical skills.
• Ability to work in agile, cross functional teams.
• Clear communication and documentation abilities.

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Nice-to-Have

• Microsoft Fabric or Azure Data Engineer certifications.
• Experience migrating from Synapse/Databricks to Fabric.
• Familiarity with Lloyd’s market data structures.

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Engagement Details

• Location: Hybrid/Remote with occasional visits to NTT offices (Delhi/NCH).
• Reporting: Works under the MS Fabric Solution Architect and collaborates with Hiscox Data Platform teams.
• Duration: Multi phase program aligned with Hiscox’s data modernization roadmap.