: Microsoft Fabric Engineer (Real-Time Intelligence & Time Series Data)

Role Overview

We are seeking a Microsoft Fabric Engineer with expertise in implementing Real-Time Intelligence solutions, particularly for time-series data processing. The ideal candidate will have hands-on experience with Azure Data Explorer (ADX) and be skilled in architecting, designing, and optimizing real-time data pipelines within Microsoft Fabric Real-Time Analytics (RTA).

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Key Responsibilities

- Implementation:

Design and implement real-time data ingestion and processing pipelines using Microsoft Fabric Real-Time Analytics (RTA) or Azure Data Explorer (ADX).

Develop scalable solutions for processing high-volume time-series data from IoT devices, sensors, and telemetry sources.

Optimize data models for effective storage, querying, and analytics in Fabric or ADX.

- Data Engineering & Integration:

Work with Kusto Query Language (KQL) to build efficient queries for time-series analysis.

Develop connectors and integrations with event streams (IoT Hub, Event Hubs, Kafka, etc.) for real-time data ingestion.

Implement data transformation, enrichment, and aggregation strategies for downstream analytics and dashboards.

- Performance Optimization & Reliability:

Tune KQL queries and ADX clusters to handle large-scale time-series data efficiently.

Implement data retention, indexing, partitioning, and archival strategies for optimized storage and retrieval.





Ensure high availability and fault tolerance in real-time streaming architectures.

- Visualization & Analytics Enablement:

Enable real-time insights via Power BI, dashboards, alerts, and anomaly detection.

Collaborate with Data Science and BI teams to support predictive analytics and machine learning on time-series data.

Implement real-time triggers, alerts, and automated responses based on streaming insights.

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Required Skills & Qualifications

- 3+ years of experience in Microsoft Fabric, Real-Time Analytics (RTA), or Azure Data Explorer (ADX).
- Strong Expertise in Kusto Query Language and ADX data modeling. (good to have )
- Hands-on experience with event-driven architectures, data streaming, and IoT analytics.
- Experience integrating with Event Hubs, IoT Hub, Kafka, or other real-time data sources.
- Knowledge of time-series data processing techniques, downsampling, and anomaly detection.
- Familiarity with Microsoft Synapse, Power BI, Databricks, or other analytics platforms.

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📌 Microsoft Fabric Engineer (Real-Time Intelligence & Time Series Data) (Sydney)
🏢 Tech Aalto
📍 Sydney