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Data Engineer | Microsoft Azure, Fabric & PySpark | 100% Remote

Original title: Data Engineer (m/w/d) ab Januar (11 Monate) | Microsoft Azure, Fabric & PySpark | 100 % Remote

Amoria Bond GmbH · remote, Deutschland, Germany · Remote · Senior

  • remote, Deutschland, Germany · Remote
  • 11 Monate
  • German

Indexed (today) · refreshed constantly

Start
2027-01
Duration
11 Monate
Work mode
Remote
Contract
Freelance / B2B
Seniority
Senior
Reference
3066070

Required skills

Nice to have:Microsoft Power BI

Languages: German

Job description

Seeking an experienced Data Engineer to modernize an existing data and analytics platform within the Microsoft ecosystem. The role involves developing modern data solutions using Microsoft Azure and Fabric, evolving data warehouse structures, and implementing data migrations and scalable data processing.

Project overview

Data Engineer | Microsoft Azure, Fabric & PySpark | 100% Remote

For one of our clients, we are looking for an experienced Data Engineer to further develop and modernize an existing data and analytics platform within the Microsoft ecosystem.

The goal of the project is to develop modern data solutions based on Microsoft Azure and Fabric, further develop existing data warehouse structures, and implement data migrations and scalable data processing.

Responsibilities

What you bring to the project:

Skills: Microsoft Azure, Microsoft Fabric, Apache Spark, PySpark, Python, Microsoft SQL Server, SQL Server Management Studio (SSMS), Data Migration, Data Engineering, Data Warehousing, Data Analytics, Data Transformation, Data Integration, Data Platforms, Microsoft Power BI, Azure Data Management

Framework conditions:

  • Development and implementation of data solutions in the Microsoft Azure and Fabric environment
  • Modernization and further development of existing data platforms and data warehouse solutions
  • Planning and execution of data migrations within Azure and data management environments
  • Development, optimization, and maintenance of data processing pipelines using Python, PySpark, and Apache Spark
  • Setup, configuration, and administration of Microsoft SQL Server environments
  • Development, management, and analysis of databases using SQL Server Management Studio (SSMS)
  • Development and adaptation of technical components based on Microsoft Fabric
  • Integration of different systems and data sources, as well as implementation of suitable interfaces
  • Analysis and resolution of technical errors from test and development phases
  • Creation and maintenance of technical documentation and system descriptions
  • Collaboration in an agile project environment for the continuous further development of the analytics and data platform
  • Several years of practical experience with data migrations, especially in the Microsoft Azure and data management environment
  • Profound knowledge in the setup, operation, and management of Microsoft SQL Server environments
  • Confident handling of SQL Server Management Studio (SSMS)
  • More than three years of practical experience with Apache Spark as well as Python and PySpark
  • Demonstrable project experience with Microsoft Fabric
  • At least three relevant project references in the respective core areas of data migration, SQL Server, Apache Spark/PySpark, and Microsoft Fabric
  • Experience with Microsoft Power BI, ideally evidenced by successfully implemented projects
  • Knowledge in modern data warehouse, analytics, and data transformation projects within the Microsoft ecosystem

Project details

From January 2027

11 months

Utilization: 80%

100% Remote, Germany

Are you open to new challenges and want to contribute your expertise in Microsoft Azure, Fabric, and Data Engineering in a long-term project? Then send me your current CV as a Word document to [contact removed].

We operate as a personnel consulting company. None of the terms used should be discriminatory regarding age or experience. We confirm that we welcome all applications from candidates of all ages and experiences.

  • Start: 2027-01
  • Duration: 11 Monate
  • Remote: remote
  • Location: remote, Deutschland, DE
  • Languages: German

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