Senior Azure BI & Data Engineer

Datashift
Mechelen, Belgium
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Mechelen, Belgium

Tech stack

API
Azure
Data Integration
ETL
Data Transformation
Data Systems
Data Warehousing
Python
Power BI
SQL Databases
SQL Server Integration Services
Azure
Build Management
Microsoft Fabric
Azure
Data Pipelines
Databricks

Job description

  • Leverage your Azure expertise to credibly translate customer needs into components and best practices within the Azure Data Platform.
  • Serve as the primary internal and external contact for specialized Azure expertise, with the opportunity to progress toward an Architect role.
  • Design and build data solutions within the Azure framework, making the trade-off between cost and maintainability.
  • You thrive on collaborating with colleagues and leverage your expertise to maximize your impact within our organization.
  • Stay up to date with technical developments, particularly those related to Azure, and quickly identify new features that can add value to data solutions.

Requirements

Do you have at least 4 to 6 years of experience? Do you love to work on projects and look at them from an end-to-end data perspective. Then we are delighted to receive your personal application and we'll contact you for an interview and a (virtual) cup of coffee., * You have 4+ years of hands-on experience in the Microsoft BI ecosystem (Azure Data Factory, Azure Synapse Analytics, Databricks, Microsoft Fabric, Analysis Services en SQL Server Integration Services), preferably within an Azure cloud environment.

  • Demonstrated experience in building and optimizing ETL/ELT data pipelines and integrating data from diverse sources (also api's).
  • Deep understanding of modern data architecture concepts, including Data Warehouses, the Kimball methodology, and Data Lakehouses, with hands-on experience and best practices in these areas.
  • SQL is your Swiss army knife for data transformation, and you're also well-versed in Python to tackle any data challenge that comes your way.

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