Senior Data Engineer (Microsoft Fabric)

Job Description: Senior Data Engineer (Microsoft Fabric)

Experience: 5+ years in data engineering, including 1.5+ years hands-on with Microsoft Fabric
Employment Type: Full-Time
Location: Gurugram
Working Days: Monday to Friday

About Panamoure

Panamoure Group LLP is a UK-based business transformation consultancy specialising in private equity-backed portfolio companies. Our India Delivery Centre in Gurugram serves as the engineering and automation backbone for global operations, delivering intelligent process automation, AI-driven workflows, data engineering, Power Platform solutions, and digital transformation initiatives.

Role Overview

We are looking for a Senior Data Engineer to design, build and run modern data platforms on Microsoft Fabric for our clients. You will own data from ingestion to analytics-ready models, and make sure it is reliable, secure, well governed and ready for reporting, advanced analytics and AI.

Responsibilities

• Design and build data platforms on Microsoft Fabric, including lakehouses, warehouses and medallion architectures.
• Build and maintain ingestion and transformation pipelines using Data Factory pipelines, Dataflows Gen2 and Spark notebooks.
• Integrate data from varied sources such as databases, business applications, APIs and files, using connectors, shortcuts and mirroring.
• Model data for analytics and reporting, including semantic models and Direct Lake, working with BI developers.
• Put data quality checks, validation and lineage in place so data can be trusted and traced.
• Implement security and governance, including workspace and item permissions, row- and column-level security, sensitivity labels and Microsoft Purview.
• Monitor and tune performance, capacity usage and cost across Spark and SQL workloads.
• Set up source control and deployment across development, test and production, using Git integration and deployment pipelines.
• Lead migrations from legacy platforms such as Azure Synapse, Azure Data Factory, SQL Server or Databricks to Microsoft Fabric.
• Prepare data for AI and advanced analytics, working with AI engineers.
• Set and uphold data engineering standards and documentation.
• Advise clients and stakeholders on architecture choices and feasibility.

Must-Have Technical Skills

• Data Engineering Fundamentals: ETL and ELT patterns, incremental loading, change data capture, orchestration, error handling, and testing of data pipelines.
• Azure Data Pipelines: Hands-on experience building and running production pipelines in Azure Data Factory or Synapse pipelines, plus Azure Data Lake Storage Gen2 and Azure SQL.
• Microsoft Fabric: Production experience with Lakehouse, Warehouse, OneLake, Data Factory pipelines, Dataflows Gen2 and notebooks.
• Spark: PySpark and Spark SQL, and Delta Lake.
• SQL: Advanced T-SQL, including query performance tuning.
• Data Modelling: Dimensional modelling and medallion architecture.
• Python: Python for data processing and automation.
• CI/CD: Git, deployment pipelines and environment management.
• Security and Governance: Access control, data protection and governance tooling.

Required Certification

• DP-700: Microsoft Certified: Fabric Data Engineer Associate.

Nice-to-Have

• Real-Time Intelligence: Experience with Fabric Real-Time Intelligence, such as Eventstreams and KQL.
• Azure Databricks: Building pipelines and Spark workloads in Azure Databricks.
• Azure Synapse Analytics: Experience with Azure Synapse Analytics, including migrating Synapse workloads to Microsoft Fabric.
• Power BI: Power BI and DAX.
• Data for AI: Preparing unstructured data for AI, such as documents and vector stores.
• Business Application Data: Dataverse, Dynamics 365 or Power Platform data integration.
• Client Exposure: Consulting or client-facing experience.

What This Role Is Not

This is not a Power BI developer, reporting or database administration role. We are looking for engineers who build and run data platforms, not primarily dashboards.