Homeoffice Data Warehouse Jobs

  • KNUTH Werkzeugmaschinen GmbH

    Senior Data Engineer (m/w/d)

    bei KNUTH Werkzeugmaschinen GmbH
    abgelaufen
    100% Homeoffice oder Hamburg, Wasbek
    Vollzeit
    • You will design and construct a new data warehouse, develop ETL processes, collaborate with stakeholders, implement data pipelines, and monitor system performance
    • Designing and constructing a new data warehouse according to scalability and security standards
  • KNUTH Werkzeugmaschinen GmbH

    Senior Analytics Engineer (m/w/d)

    bei KNUTH Werkzeugmaschinen GmbH
    abgelaufen
    100% Homeoffice oder Hamburg, Wasbek
    Vollzeit
    • You will design the new company data warehouse, develop ETL processes, collaborate with stakeholders, implement data pipelines, monitor systems, and define KPIs
    • Designing and constructing the new company data warehouse according to scalability and security standards
  • KNUTH Werkzeugmaschinen GmbH

    Senior Data Analyst (m/w/d)

    bei KNUTH Werkzeugmaschinen GmbH
    abgelaufen
    • 100% Homeoffice oder Hamburg, Wasbek
    • Vollzeit
    • Designing and constructing a new data warehouse according to advanced standards
  • Pitch Software GmbH

    Senior Data Analyst (m/f/d)

    bei Pitch Software GmbH
    abgelaufen
    100% Homeoffice oder Berlin
    Vollzeit
    • Partner with Data Engineering to maintain and extend our Data Warehouse (SnowFlake), improve data quality and documentation
  • Pitch Software GmbH

    Senior Data Engineer (m/f/d)

    bei Pitch Software GmbH
    abgelaufen
    • 100% Homeoffice oder Berlin
    • Vollzeit
    • We are in the middle of a migration, and our Data Warehouse and transformation pipelines are still on a nascent state
    • Plan and support the buildout of our Snowflake data warehouse, and future-proof it for scale
    • Implement and own our data warehouse management and other systems' monitoring
    • At least 3-5 years' experience with Data Warehouse Management and/or Cloud Platform development, ideally within a product-minded SaaS or Tech company
    • Deep understanding of Data Warehouse management with Snowflake, Redshift and/or BigQuery
  • porta Möbel Online Shop GmbH & Co. KG

    (Team Lead) Data Engineer (w/m/d)

    bei porta Möbel Online Shop GmbH & Co. KG
    abgelaufen
    • 100% Homeoffice oder Porta Westfalica
    • Vollzeit
    • Erfahrung in Konzeption und Entwicklung von Data Warehouse (DWH)/BI-Plattformen (Star- & Snowflake-Schema) und relationalen Datenbanken
    • Flexible Arbeitszeiten & 100% Home Office (deutschlandweit) möglich
  • Payla Services GmbH

    (Senior) Data Engineer (all genders)

    bei Payla Services GmbH
    abgelaufen
    100% Homeoffice oder Hamburg
    Vollzeit
    • You will create, own, maintain, and develop our Data Warehouse from the scratch, ensuring its robustness, scalability, and extensibility
  • Cosuno Ventures GmbH

    Senior Data Analyst (f/m/d)

    bei Cosuno Ventures GmbH
    abgelaufen
    100% Homeoffice oder Berlin
    Vollzeit
    • Maintaining our data pipeline and data warehouse, using a best-in-class tech stack consisting of Looker, Fivetran, and dbt
  • Workpath

    Senior Data Engineer (f/m/d)

    bei Workpath
    abgelaufen
    100% Homeoffice oder Berlin, München
    Vollzeit
    • Your focus would be on building out our data warehouse and data pipelines
    • Experience building and/or maintaining Analytics data warehouses (Redshift, Snowflake, Postgres, etc.)
    • The possibility to work flexibly from your home office or from our central office in Munich
  • TestGorilla

    Senior Data Analyst

    bei TestGorilla
    abgelaufen
    100% Homeoffice
    Vollzeit
    • You have strong SQL skills and worked with a modern data warehouse like Redshift, BigQuery or Snowflake
  • expondo GmbH

    Senior Data Engineer

    bei expondo GmbH
    abgelaufen
    • 100% Homeoffice oder Berlin
    • Vollzeit
    • 13.023€ – 16.278€ / Monat
    • As our Data Warehouse Developer you are responsible for designing, developing, and maintaining data warehouse
    • Advanced knowledge and understanding of data warehouse concepts

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