Senior Analytics Engineer – Microsoft Data & BI (Power BI | Azure | Fabric) | Remote, CET ? Remote | Full-Time | Aligned to German (CET) Working Hours We're looking for a Senior Analytics Engineer to own our Microsoft data and BI ecosystem end-to-end — from Azure and Microsoft Fabric architecture down to the Power BI dashboards business stakeholders rely on every day. This is a high-ownership role for someone who's equally comfortable designing scalable data models and translating messy business requirements into clean, trustworthy reporting.

If you live in DAX, think in semantic models, and want a role where your work directly shapes how the business makes decisions — this is built for you. ? Core Responsibilities

Platform Ownership — Design and maintain end-to-end Microsoft data platforms

BI Development — Build robust Power BI semantic models, dashboards, and reporting solutions

Advanced Modeling — Develop advanced DAX measures and Power Query transformations

Semantic Architecture — Design semantic models using star schema and Composite Model patterns; optimize DirectQuery performance and implement Row-Level Security (RLS)

Architecture — Design and manage Azure SQL, Microsoft Fabric, and data warehouse architectures

Data Integration — Consolidate data across Business Central, Dynamics 365, Dataverse, Azure, and eCommerce platforms

Governance — Lead data quality, governance, validation,



and cleansing initiatives

BI Standards — Establish semantic layer governance, consistent metric definitions, and lineage documentation across reporting assets

Platform Administration — Administer Power BI Service (workspaces, datasets, refresh policies, capacity planning)

Scalable Modeling — Create scalable data models supporting analytics and operational reporting

Stakeholder Partnership — Work directly with business stakeholders to translate requirements into reporting and analytics solutions

Team Enablement — Mentor team members and lead knowledge-transfer sessions on BI best practices ✅ Requirements

5+ years in Analytics Engineering, BI Engineering, or Data Engineering

Expert-level Power BI experience

Strong SQL and data modeling capabilities

Hands-on Microsoft Fabric and/or Azure Data stack experience

Experience integrating ERP, CRM, and operational systems

Solid understanding of data governance and quality management

Experience with DirectQuery performance optimization and Row-Level Security (RLS) design

Track record establishing BI governance frameworks — metric definitions, semantic layer standards, and documentation practices

Excellent stakeholder communication skills ⭐ Preferred

Dataverse experience

Power Platform experience

PL-300, DP-600, or related Microsoft certifications

📌 Senior Analytics Engineer (India)
🏢 Magma Holding
📍 India