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Data Engineer

13 days ago37 views
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General Details
Advertised By:Agency
Company Name:Executive Placements
Job Type:Full-Time
Description

Minimum Requirements

  • Bachelors Degree or equivalent experience.
  • Microsoft Certifications:
    • Azure Data Engineer Associate (Exam DP-203)
    • Fabric Data Engineer Associate (Exam DP-700)
  • 5+ years experience in:
  • MUST BE A CLOUD EXPERT!!
  • Azure Data Factory, SQL Server, and Snowflake
  • Microsoft Fabric (Data Factory, OneLake, Data Activator)
  • Power BI Dashboards, Dataflows, and Paginated Reports
  • Incremental data loading and CI/CD automation
  • DevOps, Git, and GitHub

A forward-thinking organisation, recognised for its commitment to next-generation data and analytics, is seeking a Senior Data & Analytics Engineer with deep expertise in Azure Data Factory and cloud-based data architecture.
This role is ideal for someone who thrives in complex environments designing, building, and optimising data solutions that power real-time business intelligence through Microsoft Fabric, Azure, and Power BI.
Youll play a key role in shaping the companys modern data platform, driving automation, accuracy, and insight across global operations.
Strong leader required - This is not a management position but a hands-on leadership role for someone who thrives on building and mentoring a team while designing high-performance data solutions that power global business intelligence.

Main Responsibilities:

  • Design and implement scalable data pipelines using Azure Data Factory, SQL Server, and Snowflake.
  • Develop and maintain Power BI Dashboards, Dataflows, and Paginated Reports for live analytics and reporting.
  • Leverage Microsoft Fabric technologies (Data Factory, OneLake, Data Activator) to unify and automate data workflows.
  • Integrate data from Dynamics 365 Business Central and and other Platform to support finance and operations.
  • Implement incremental data loading and advanced automation for performance and efficiency.
  • Use AI tools for predictive analytics, anomaly detection, and enhanced data quality.
  • Apply DevOps practices, managing version control and deployment through Git and Azure DevOps.
  • Collaborate across business and technical teams to translate requirements into robust data solutions.

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Executive Placements
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