Senior Data Engineer (10+ years) to design and optimize enterprise data solutions using Microsoft Fabric, Azure Databricks, and SAP data integration Our client is seeking a Senior Data Engineer (10+ years) to design and optimize enterprise data solutions using Microsoft Fabric, Azure Databricks, and SAP data integration

Join a large-scale enterprise data modernization initiative supporting analytics, reporting, operational insights, and AI-driven capabilities across multiple business functions. This role focuses on building scalable Microsoft Fabric and Azure Databricks data solutions integrated with SAP environments including Finance, Supply Chain, Asset Management, and Customer Operations. The consultant will contribute to enterprise-grade data products, SAP-to-Fabric ingestion pipelines, and modern cloud data architecture initiatives.

Must Haves

10+ years in Data Engineering delivering large-scale ETL/ELT solutions

2+ years working with Microsoft Fabric in enterprise environments including OneLake and Fabric Data Factory

4+ years using Azure Databricks , PySpark , and Spark SQL for large-scale data transformation

SAP S/4HANA , SAP ECC, SAP BW, and SAP Datasphere data integration within enterprise analytics platforms

Bachelor's degree in Computer Science, Information Systems, Software Engineering, Data Science, or related discipline

Nice to Have

Experience within utilities, energy, power generation, or oil & gas environments

Experience with Asset Management data, Work Management systems, Customer Information Systems, or metering and operational technology data

Experience integrating SCADA data, IoT data, or real-time streaming data

Microsoft Fabric Certification, Azure Data Engineer Associate certification, or Databricks Certification

Responsibilities

Design, develop, and maintain scalable data pipelines within Microsoft Fabric





Build enterprise data ingestion frameworks for structured and semi-structured data sources

Develop and optimize ETL/ELT processes utilizing Azure Databricks, PySpark, Spark SQL, and Python

Build and maintain integration pipelines extracting data from SAP S/4HANA, SAP ECC, SAP BW/BW4HANA, SAP Datasphere, and SAP SuccessFactors

Design and build Fabric-based data products supporting self-service analytics, enterprise reporting, executive dashboards, and predictive analytics initiatives

Implement data quality controls, metadata management, data lineage, and data cataloging processes

Support CI/CD deployment processes, monitor pipeline performance, and troubleshoot production issues

Our client is seeking a Senior Data Engineer (10+ years) to design and optimize enterprise data solutions using Microsoft Fabric, Azure Databricks, and SAP data integration

Join a large-scale enterprise data modernization initiative supporting analytics, reporting, operational insights, and AI-driven capabilities across multiple business functions. This role focuses on building scalable Microsoft Fabric and Azure Databricks data solutions integrated with SAP environments including Finance, Supply Chain, Asset Management, and Customer Operations. The consultant will contribute to enterprise-grade data products, SAP-to-Fabric ingestion pipelines, and contemporary cloud data architecture initiatives.

Contract, Calgary, Hybrid, Working Hours: MST

Must Haves





10+ years in Data Engineering delivering large-scale ETL/ELT solutions

2+ years working with Microsoft Fabric in enterprise environments including OneLake and Fabric Data Factory

4+ years using Azure Databricks , PySpark , and Spark SQL for large-scale data transformation

SAP S/4HANA , SAP ECC, SAP BW, and SAP Datasphere data integration within enterprise analytics platforms

Bachelor's degree in Computer Science, Information Systems, Software Engineering, Data Science, or related discipline

Nice to Have

Experience within utilities, energy, power generation, or oil & gas environments

Experience with Asset Management data, Work Management systems, Customer Information Systems, or metering and operational technology data

Experience integrating SCADA data, IoT data, or real-time streaming data

Microsoft Fabric Certification, Azure Data Engineer Associate certification, or Databricks Certification

Responsibilities

Design, develop, and maintain scalable data pipelines within Microsoft Fabric

Build enterprise data ingestion frameworks for structured and semi-structured data sources

Develop and optimize ETL/ELT processes utilizing Azure Databricks, PySpark, Spark SQL, and Python

Build and maintain integration pipelines extracting data from SAP S/4HANA, SAP ECC, SAP BW/BW4HANA, SAP Datasphere, and SAP SuccessFactors

Design and build Fabric-based data products supporting self-service analytics, enterprise reporting, executive dashboards, and predictive analytics initiatives

Implement data quality controls, metadata management, data lineage, and data cataloging processes

Support CI/CD deployment processes, monitor pipeline performance, and troubleshoot production issues

Disclaimer

AI may be used in evaluating candidates.

This posting is for an existing vacancy.

📌 Senior Data Engineer (10+ years) to design and optimize enterprise data solutions using Microsoft Fa (Calgary)
🏢 S.i. Systems
📍 Calgary