Senior Data Engineer (Microsoft Fabric)

Panamoure; Gurugram District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Panamoure Group is recruiting a Senior Data Engineer to design, build and run modern data platforms on Microsoft Fabric for real-world clients. You will own data from ingestion to analytics-ready models, ensuring reliability, security, governance and readiness for reporting, AI and advanced analytics.

The role demands hands-on expertise with Azure Data Factory/Synapse, Spark, Python and governance tooling, along with strong collaboration across clients and delivery teams in Gurugram.

Qualifications

• ETL/ELT patterns and data pipelines testing.
• Production pipelines in Azure Data Factory/Synapse.
• Experience with Microsoft Fabric Lakehouse/Warehouse/OneLake.

Responsibilities

• Design and build data platforms on Microsoft Fabric including lakehouses and medallion architectures.
• Create and maintain ingestion/transformation pipelines using Data Factory pipelines, Dataflows Gen2 and Spark notebooks.
• Model data for analytics and reporting with semantic models and Direct Lake.

Skills

Data pipelines

Azure Data Factory

Azure Synapse

Microsoft Fabric

PySpark

SQL

Python

CI/CD

Security and governance

Education

DP-700 Certification

Tools

Git

Data Factory pipelines

Dataflows Gen2

Notebooks

Job description

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 Engineerto 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.