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.