GPI Consulting GmbH

Data Warehouse / BI Consultant, ETL

GPI Consulting GmbH

full-time

Posted on:

Location Type: Hybrid

Location: HamburgGermany

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Salary

💰 €45,000 - €75,000 per year

About the role

  • Design, implementation and further development of existing ETL pipelines
  • Modeling and optimization of Data Marts
  • Design and enhancement of OLAP structures (SSAS cubes)
  • Development and customization of reports and dashboards
  • Close coordination with requirements management and business units
  • Translating business requirements into cost-effective solutions
  • Assessing technical feasibility of requirements and preparing decision-making materials for stakeholders

Requirements

  • Degree in Computer Science or Business Informatics, or several years of professional experience in the field
  • Experience in data warehousing (DWH), BI, or ETL environments
  • Solid knowledge of databases (ideally Microsoft SQL Server)
  • ETL development (ideally with SSIS)
  • Database and data-mart modeling
  • Report creation
  • Interest in long-term project assignments
  • Ability to translate requirements in a structured yet pragmatic way
  • Understanding of cost-effectiveness and prioritization
  • Excellent German language skills (minimum C1)
Benefits
  • 30 days of vacation, plus Christmas Eve and New Year's Eve off
  • Accident insurance
  • Childcare subsidy
  • Corporate benefits
  • Employee assistance programs (e.g., resilience training)
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
ETL developmentdata warehousingbusiness intelligencedatabase modelingdata mart modelingreport creationOLAP structuresSSAS cubesMicrosoft SQL ServerSSIS
Soft Skills
requirements managementstakeholder communicationcost-effectiveness understandingprioritizationstructured thinkingpragmatic approachcoordinationlong-term project interesttranslating business requirementsdecision-making preparation
Certifications
degree in Computer Sciencedegree in Business Informatics