The Role
Design, build, and maintain scalable Microsoft Fabric and Azure data platforms. Develop end-to-end pipelines, data models, SQL, PySpark, and DAX workloads; integrate Azure services; implement medallion architecture, governance, lineage, and CI/CD. Collaborate with stakeholders to deliver reliable data solutions, monitor and optimize workflows, manage costs, troubleshoot performance issues, and meet service-level agreements.
Summary Generated by Built In
Role Summary:
We are seeking a skilled Azure Data Fabric Developer to design, build, and maintain unified data platforms using Microsoft Fabric. In this role, you will operate at the intersection of data engineering, analytics, and cloud architecture, helping the organization unlock actionable insights from large, complex datasets. You will collaborate with data architects, analysts, and business stakeholders to deliver scalable, secure, and high-performance data solutions.
Key Responsibilities:
- Design and develop end-to-end data pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2, Notebooks, Pipelines) and Azure Data Factory (ADF). Build and manage models in the Microsoft Fabric ecosystem.
- Build and manage data models across OneLake and Fabric Workspaces, ensuring well-structured environments, access, and collaboration across teams.
- Develop and optimise complex SQL, PySpark, and DAX queries for large-scale data processing and analytics workloads.
- Integrate Fabric workloads with Azure services including Azure Data Lake Storage (ADLS Gen2), Azure Synapse Analytics, Azure Databricks, and Power BI.
- Implement medallion architecture and data modelling best practices, following standard SDLC practices to ensure data quality, consistency, and reliable releases.
- Collaborate with stakeholders to translate business requirements into scalable data solutions and reusable data assets.
- Ensure data governance, lineage tracking, and compliance using Microsoft Purview and Fabric's built-in governance features.
- Monitor, troubleshoot, and performance-tune data workflows, keeping an eye on capacity usage and cost efficiency (FinOps) while ensuring SLAs are met.
- Participate in CI/CD pipeline setup for data workloads using Azure DevOps and Git-based version control.
Skills and qualifications:
- Design and develop end-to-end data pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2, Notebooks, Pipelines); hands-on Azure Data Factory (ADF) experience is mandatory.
- Build and manage data models within the Microsoft Fabric ecosystem, including OneLake and Fabric Workspace setup and management.
- Develop and optimise complex SQL, PySpark, and DAX queries for large-scale data processing and analytics workloads.
- Integrate Fabric workloads with Azure services, including Azure Data Lake Storage (ADLS Gen2), Azure Synapse Analytics, Azure Databricks, and Power BI.
- Implement medallion architecture (Bronze / Silver / Gold) and data modelling best practices, with a good grasp of SDLC processes to ensure data quality and consistency.
- Collaborate with stakeholders to translate business requirements into scalable data solutions and reusable data assets.
- Ensure data governance, lineage tracking, and compliance using Microsoft Purview and Fabric's built-in governance features.
- Monitor, troubleshoot, and performance-tune data workflows, applying FinOps thinking to manage costs while resolving bottlenecks and ensuring SLAs are met.
- Participate in CI/CD pipeline setup for data workloads using Azure DevOps and Git-based version control.
Skills Required
- Hands-on experience designing and developing end-to-end data pipelines using Microsoft Fabric, including Data Factory, Dataflows Gen2, Notebooks, and Pipelines
- Mandatory hands-on experience with Azure Data Factory
- Experience building and managing data models within Microsoft Fabric, including OneLake and Fabric Workspace setup and management
- Advanced SQL, PySpark, and DAX query development and optimization experience
- Experience integrating Microsoft Fabric with Azure Data Lake Storage Gen2, Azure Synapse Analytics, Azure Databricks, and Power BI
- Experience implementing medallion architecture and data modeling best practices
- Good understanding of SDLC processes for data quality and consistency
- Experience translating business requirements into scalable data solutions and reusable data assets
- Experience with data governance, lineage tracking, and compliance using Microsoft Purview and Microsoft Fabric governance features
- Experience monitoring, troubleshooting, and performance-tuning data workflows
- FinOps knowledge for data workflow cost management
- Experience setting up CI/CD pipelines for data workloads using Azure DevOps and Git-based version control
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The Company
What We Do
Absolute App Labs is a global software engineering and product development company serving startups, mid-sized businesses, enterprises, and global brands. It builds AI-first and AI-native digital products, including custom web and mobile applications, SaaS platforms, enterprise systems, and e-commerce solutions. Its capabilities include product modernization, cloud-native development, generative AI and LLM integration, data engineering, and intelligence platforms designed to scale.
