? Fabric Data Engineer | Alkemiz

Alkemiz is hiring a Fabric Data Engineer to join our Data, Engineering & Architecture team. This is a hands-on, execution-focused role where you'll build and maintain the pipelines, Lakehouse objects, and semantic model integrations that power our Microsoft Fabric platform — working to designs and standards set by our Fabric Data Lead.

⚠️ Only Immediate Joiners May Apply

? What You'll Do:

? Build and maintain Fabric pipelines and notebooks for ingestion and transformation across bronze/silver/gold layers

? Develop and maintain Lakehouse and Warehouse tables, ensuring data quality and following agreed naming/workspace conventions

? Integrate datasets into Power BI semantic models; support and troubleshoot Direct Lake mode implementations

? Work through a structured Code → Review → DevOps → Deployment pipeline

? Monitor and flag CU spikes or performance issues; optimise notebook/pipeline performance under guidance from the Lead

? Fix defects and production hotfixes within agreed SLAs; contribute to root-cause analysis for incidents attributable to own work





? Maintain governance documentation — asset catalogues, ownership registers, and lineage for all owned assets

? Apply data lifecycle/retention rules, row-level security, and sensitivity labelling as defined by the governance framework

✅ Must-Have Skills:

? 3–7 years' experience in a data engineering role

? Minimum 1 year of hands-on Microsoft Fabric project experience

? Solid SQL and Python/PySpark proficiency for pipeline and notebook development

? Working knowledge of medallion (bronze/silver/gold) architecture

? Comfortable working within a defined CI/CD and code-review process

⭐ Positive to Have:

? Relevant Microsoft certification (e.g., DP-700)

? Location: Offshore staff-augmentation role — dedicated FTE, working closely with an Australian-based team

If you enjoy building reliable, well-tested data platforms and want to deepen your expertise in Microsoft Fabric within a structured, governance-driven engineering environment, we'd love to hear from you.

- ? DM or send your profile to [email protected]

📌 Fabric Data Engineer | Alkemiz (Greater Kailash)
🏢 Alkemiz
📍 Greater Kailash