Logo Bechtle AG

Data Architect - Microsoft Fabric

Job

  • Level
    Experienced
  • Location
    Frankfurt
  • Working Model
    Hybrid, Onsite
  • Job Field
    BI, Data
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment

Job Summary

In this role, you will advise clients on building modern data architectures using Microsoft Fabric, developing performant data pipelines and analytics solutions to ensure data quality and compliance.

Job Technologies

Your role in the team

  • You advise our clients on developing modern data strategies and design scalable data architectures based on Microsoft Fabric.
  • You develop and implement future-proof data platforms — from Data Integration and Lakehouse to Data Warehouse, as well as Analytics, Reporting, and AI solutions.
  • You design high-performance data pipelines as well as semantic data models for self-service BI, management reporting, and AI applications.
  • Together with our clients, you ensure data quality, governance, security, and compliance across the entire data platform.
  • You analyze existing data landscapes, develop migration and modernization concepts, and support projects from the idea phase to operational deployment.
  • You facilitate workshops, support presales with architecture concepts, and actively contribute new ideas around Microsoft Fabric, Azure Data Services, and Power BI to our portfolio.

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Our expectations of you

Education

  • Completed degree in (Business) Informatics, Data Science, or a comparable IT qualification.

Qualifications

  • Strong consulting, communication, and presentation skills, as well as a structured, self-reliant working style and enjoyment of teamwork.
  • Certifications such as DP-600, DP-700, or PL-300 are a plus.

Experience

  • Several years of experience in Data Architecture, Data Engineering, Business Intelligence, or Cloud Data Platforms - ideally with Microsoft Fabric.
  • Very good knowledge of SQL as well as experience with Python, PySpark, DAX, or comparable technologies and analytical data modeling.
  • Know-how in the areas of Data Governance, Data Quality, Role and Permission Concepts, and ideally experience with Azure Data Factory, Azure Synapse, or Azure Databricks.

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What we offer

  • With a comprehensive range of offerings from the Bechtle Academy, personalized career planning, expert and leadership programs, manufacturer certifications, and much more, you continuously develop and never stand still.
  • This showcases our attractive occupational disability insurance as well as our company pension scheme with a subsidy of up to 100 percent.
  • Depending on your area of responsibility and in coordination with your supervisor, there is the possibility to customize your working hours and work location individually.
  • In the workplace of the future, you will receive the latest technical equipment and work in an innovative environment.
  • Our comprehensive onboarding program MIKADO, a training plan tailored specifically to your role, and a dedicated contact person ensure your perfect start with us.

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Benefits

Work-Life-Integration

Higher Take-Home Pay

Food & Drink

Health, Fitness & Fun

Topics You Will Work On

Job Locations

  • Location Frankfurt

    Hessen

    Germany

About Your Employer

Bechtle AG

Bechtle AG

Bechtle is a leading IT company in Europe and operates around 70 system houses in Germany, Austria and Switzerland. The e-commerce companies in 14 countries ensure reliable IT services and enable companies to fully exploit their potential

Description

  • Company Size
    50-249 Employees
  • Founding Year
    1983
  • Company Type
    Established Company
  • Working Model
    Full Remote, Hybrid, Onsite
  • Industry
    Consulting, Trade, Internet, IT, Telecommunication

Employer reviews

by devworkplaces.com

Total

(2 Reviews)
4.1
  • Workingconditions

    4.5
  • Culture

    4.2
  • Career Growth

    4.0
  • Engineering

    4.0
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Logo Bechtle AG

Data Architect - Microsoft Fabric

Location
Frankfurt
Working Model
Hybrid, Onsite
Diversity
Open for all genders

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