strategie:p personalberatung

BI Engineer, Data Warehouse Developer

strategie:p personalberatung

full-time

Posted on:

Location Type: Hybrid

Location: Saterland • Germany

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Tech Stack

AirflowApacheETLPostgresSQLSSIS

About the role

  • Take ownership of the data warehouse and business intelligence.
  • Configure, administer, maintain and further develop the data warehouse in close cooperation with the IT department.
  • Further develop the enterprise-wide data architecture, including implementing data governance principles.
  • Analyze, gather and refine requirements for data use cases.
  • Design, implement and monitor robust ETL jobs.
  • Continuously monitor data quality in the data warehouse using available tools.
  • Perform performance analyses and optimize cross-system processes in the DWH/Business Intelligence environment.
  • Continuously document data models and data contents.

Requirements

  • Solid knowledge and strong analytical skills.
  • A solid education in Computer Science, Information Systems, or a comparable qualification.
  • Experience as a Data Engineer and in building, maintaining and evolving ETL processes is an advantage.
  • Confident use of common SQL, visualization, and ETL tools (e.g., SSIS, optionally Apache Airflow or SSAS).
  • Experience in database administration for systems such as PostgreSQL, MS SQL, IBM DB2 for i, Progress, or similar.
  • Analytical, structured working style combined with strong communication skills.
Benefits
  • Collective agreement-based pay (metal industry) including extensive social benefits.
  • A 35-hour workweek and 30 days of vacation.
  • Flexible working hours (flexitime) and the option to work remotely.
  • Extensive continuing education and training opportunities.
  • Corporate fitness program with Hansefit.
  • Option for bicycle leasing.
  • Free charging for your electric vehicle.
Applicant Tracking System Keywords

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

Hard Skills & Tools
data warehousebusiness intelligencedata architecturedata governanceETLdata qualityperformance analysisdata modelingSQLdatabase administration
Soft Skills
analytical skillsstrong communication skillsstructured working style