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Data Engineer and Report Developer

Roles & Responsibilities

  • Strong knowledge of SQL
  • Experience with developing ABAP CDS views (SQL, AMDP Script) as backend for Fiori, Analysis for MS Office Excel, SAP Analytics Cloud (SAC) reporting and planning apps
  • Data modeling knowledge using SAP DSP (or other data warehouses) with advantage
  • Qlik Sense dashboarding and SAP Analytics Cloud (SAC) reporting knowledge (planning knowledge would be an advantage)

Requirements:

  • Design, develop, and maintain enterprise-level reporting and planning solutions using SAP and BI tools
  • Build and support reporting and planning using SAP Datasphere, BW/4HANA, SAP Analytics Cloud (SAC), Qlik Sense
  • Design and develop data pipelines for enterprise reporting

Job description

Were looking for a skilled and motivated Data Analytics Specialist to join our team! Youll play a key role in designing, developing, and maintaining enterprise-level reporting and planning solutions using SAP and BI tools.


Responsibilities:



  • Build and support reporting and planning using SAP Datasphere, BW/4HANA, SAP Analytics Cloud (SAC), Qlik Sence.
  • Design and develop data pipelines for enterprise reporting.


Skills:



Your core competencies:

  • Good knowledge of SQL
  • Work experience with developing ABAP CDS views (SQL, AMDP Script) as a backend for Fiori, Analysis for MS Office Excel, SAP Analytics Cloud (SAC) reporting and planning apps
  • Data modeling knowledge using SAP DSP (would be advantages) or other data warehouses
  • SAP SAC reporting knowledge (planning knowledge would be an advantage)
  • Qlik Sence Dashboarding
  • Analytical thinking, ability to work independently


Nice to have:



  • HANA DB knowledge to monitor usage, analyse errors and improve performance
  • Know-How in creating Fiori apps for transient queries
  • Integrating AI into business analytics


We offer:



  • Full remote
  • B2B contract
  • Salary is 5500-7000 EUR GROSS/month


Our Recruitment Process:



  • CV Screening: Applications are reviewed within 24 hours.
  • Structured AI-assisted Q/A session. This helps us better understand your background and present you more accurately to the hiring manager or project team.

  • Shortlisting: Qualified candidates are presented to the hiring manager for review.
  • Formal Interviews: Online discussions with the hiring manager or project team, with feedback provided within 1-2 weeks.
  • Offer and Onboarding: Successful candidates receive a formal offer and begin a structured onboarding process.



Information about the processing of your personal data is provided in our Privacy Policy, which is available online at Privacy Policy.

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