Data Data Engineer (m/f/d) at REPA Deutschland GmbH
Berlin, Berlin, Germany -
Full Time


Start Date

Immediate

Expiry Date

01 Jan, 27

Salary

50000.0

Posted On

03 Oct, 26

Experience

4 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services

Description
  • Experience (2-5 years) in Data Engineering, Business Intelligence or Analytics Engineering. 
  • Experience with Microsoft Fabric, Azure Data Services or similar technologies. 
  • Understanding of Azure components and using them efficiently to build data pipelines for AI based application
  • Experience working with SQL and data transformation processes. 
  • Understanding of data warehousing concepts and ETL/ELT processes. 
  • Experience working with cloud-based data platforms. 
  • Experience working with ERP or business application data is beneficial. 
  • Basic understanding of data modelling and data quality concepts.

Personal Skills: 

  • Ability to operate independently while working as part of a team. 
  • Fluent in English, both verbal and written. 
  • Pro-active mindset and eager to learn new technologies. 
  • Strong analytical and problem-solving skills. 
  • Detail-oriented with a focus on data quality. 
  • Good communication skills and ability to work with technical and business stakeholders. 
  • Ability to prioritize tasks and manage multiple activities simultaneously. 
  • Team player with a collaborative mindset. 

Responsibilities
  • Experience (2-5 years) in Data Engineering, Business Intelligence or Analytics Engineering. 
  • Experience with Microsoft Fabric, Azure Data Services or similar technologies. 
  • Understanding of Azure components and using them efficiently to build data pipelines for AI based application
  • Experience working with SQL and data transformation processes. 
  • Understanding of data warehousing concepts and ETL/ELT processes. 
  • Experience working with cloud-based data platforms. 
  • Experience working with ERP or business application data is beneficial. 
  • Basic understanding of data modelling and data quality concepts.

Personal Skills: 

  • Ability to operate independently while working as part of a team. 
  • Fluent in English, both verbal and written. 
  • Pro-active mindset and eager to learn new technologies. 
  • Strong analytical and problem-solving skills. 
  • Detail-oriented with a focus on data quality. 
  • Good communication skills and ability to work with technical and business stakeholders. 
  • Ability to prioritize tasks and manage multiple activities simultaneously. 
  • Team player with a collaborative mindset. 

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