Senior Data Engineer with Microsoft Fabric

Job Title:

Location:

Work Mode:

Experience:

About the Role

Senior Data Engineer

Key Responsibilities

• Design and implement

  ETL pipelines

  using Microsoft Fabric (Dataflows, Pipelines, Lakehouse, Warehouse, SQL) and

  Azure Data Factory

  .
• Build and maintain a

  metadata-driven Lakehouse architecture

  with threaded datasets to support multiple consumption patterns.
• Develop

  agent-specific data lakes

  and an orchestration layer for an

  uber agent

  that can query across agents to answer customer questions.
• Enable interactive data consumption via

  Power BI

  ,

  Azure OpenAI

  , and other analytics tools.
• Ensure

  data quality, lineage, and governance

  across all ingestion and transformation processes.
• Collaborate with product teams to understand data needs and deliver scalable solutions.
• Optimise performance and cost across storage and compute layers.

Required Qualifications

• 710 years of experience in

  data engineering

  with a focus on

  Microsoft Azure and Fabric technologies

  .
• Experience with structured and semi-structured data (JSON, XML, CSV, Parquet).
• Proven ability to build

  metadata-driven architectures

  and reusable components.
• Familiarity with

  agent-based architectures

  and conversational AI integration is a plus.
• Strong understanding of

  data modelling, governance, and security best practices

  .

Strong expertise in:

• Microsoft Fabric (Lakehouse, Dataflows Gen2, Pipelines, Notebooks)
• Azure Data Factory, Azure SQL, Azure Data Lake Storage Gen2
• Power BI and/or other visualisation tools
• Azure Functions, Logic Apps, orchestration frameworks
• SQL, Python, PySpark/Scala

Preferred Qualifications

• Experience with

  Azure OpenAI

  ,

  Copilot Studio

  , or similar conversational platforms.
• Knowledge of

  CI/CD pipelines

  and

  DevOps practices

  for data engineering.
• Experience in building

  multi-tenant data platforms

  or domain-specific lakes.

Apply now and be part of building next-gen data platforms!