Softcard (acquired by Google)

BI Entwickler

Softcard (acquired by Google)

full-time

Posted on:

Location Type: Hybrid

Location: Münster • Germany

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Tech Stack

AzureETLPythonSQL

About the role

  • Design, develop, and maintain robust ETL/ELT pipelines using modern data platform tools
  • Build and optimize data models within Microsoft Fabric and related Azure services
  • Develop and maintain complex SQL queries, stored procedures, and performance-tuned database solutions
  • Create and maintain semantic models and business logic using DAX
  • Develop data processing and automation solutions using Python (preferred)
  • Collaborate with business stakeholders, analysts, and data consumers to translate requirements into technical solutions
  • Implement and maintain CI/CD pipelines for data solutions
  • Apply DevOps best practices to ensure code quality, version control, testing, and deployment automation
  • Monitor, troubleshoot, and optimize data pipelines and reporting performance
  • Ensure data quality, governance, and security standards are met
  • Participate in architectural discussions and contribute to data strategy initiatives

Requirements

  • 3+ years of experience in Business Intelligence and/or Data Engineering roles
  • Strong hands-on experience with: SQL databases (query optimization, indexing, performance tuning)
  • ETL/ELT processes and data transformation frameworks
  • Microsoft Fabric or comparable modern data platform environments
  • DAX for data modeling and reporting logic
  • Building Power BI reports
  • Experience working with Azure data services
  • Experience with CI/CD pipelines and deployment automation
  • Familiarity with Azure DevOps or similar DevOps tools
  • Strong understanding of data warehousing concepts (star schema, dimensional modeling, data lakes)
  • Experience working in international and cross-functional teams
  • Strong analytical and problem-solving skills
  • Excellent written and verbal communication skills in English
Benefits
  • Opportunity to work on modern cloud-based data platforms
  • Collaboration with international teams
  • Exposure to enterprise-scale data and analytics initiatives
  • Professional growth in data architecture, engineering and creating reports
Applicant Tracking System Keywords

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

Hard Skills & Tools
ETLELTSQLDAXPythonCI/CDdata modelingdata transformationPower BIdata warehousing
Soft Skills
analytical skillsproblem-solving skillscommunication skills