Business Intelligence Architect / Data Warehouse Specialist (m/f/d)

Hamburg, HH, DE, Germany

Job Description

Date:

Dec 29, 2025

Location:

Hamburg, DE, 20097

Business Unit:

Corporate Units

Job Function:

Finance / Controlling / Accounting / Tax

Level of Experience:

Executive
As a

Business Intelligence Architect / Data Warehouse Specialist (m/f/d)

, you will be responsible for the architectural design, development, and operational management of our global analytics platform. You will continuously maintain, optimize, and enhance our modern analytics environment – from data storage in the Snowflake Data Warehouse to integration within the Azure Stack and visualization in Power BI.



Your core responsibilities include the design, governance, and further development of the company-wide data management and BI architecture, as well as the operation, administration, monitoring, and deployment of the existing BI landscape. As the primary point of contact for the analytics platform, you will support colleagues from IT and business in all data analytics matters and actively contribute to key development projects for our global data platform.



Our environment is technologically cutting-edge and was built in 2023 on a “greenfield” basis with a consistent cloud-first approach. This offers you significant creative freedom to shape the platform and help lead HELM into the data-driven era. You will work closely with internal stakeholders and external partners to implement adjustments and new requirements for the platform and existing systems.


Responsibilities:




Design, governance, and continuous development of the company-wide data management and BI architecture Operation, administration, monitoring, and deployment of the existing BI environment Maintenance and optimization of the global analytics platform based on Azure, Snowflake, and Power BI Ensure data quality and optimize platform performance Coordinate with internal stakeholders and external partners to implement adjustments and new requirements Support business units and IT colleagues in the data analytics domain Contribute to strategic projects for the advancement of the global data platform Implement best practices for data integration, ETL processes, and governance



Skills & Qualifications:




Degree in Computer Science, Business Informatics, Data Science, or a comparable qualification Several years of experience in designing and implementing BI architectures and data warehouse solutions Strong expertise in Azure Cloud Services, Snowflake, Data Vault modeling, and ideally Power BI Proficiency in data modeling (Data Vault, Kimball, 3NF) and experience with Data Governance and Data Catalog tools and methodologies Hands-on experience with Data Warehouse Automation tools (e.g., Datavault Builder, Matillion, WhereScape, BIML) Solid knowledge of ETL processes, data modeling, and performance optimization Strong SQL skills and ideally experience with Python or similar scripting languages Familiarity with CI/CD, deployment, and monitoring in cloud environments Analytical mindset, structured working style, and strong problem-solving skills Excellent communication skills and ability to collaborate with diverse stakeholders Very good command of English, both written and spoken



Every day, each one of us contributes to HELM's success with competence, the highest expertise and unique service. We reward this commitment - not only with international opportunities, possibilities for seminars and further training but also with benefits that offer optimal conditions to reach the perfect work-life balance.


Interested?




Join our motivated team and help shaping the future of HELM!

Even if you do not fulfil all of the requirements in our profile, we encourage you to apply.

It is important to us to find the right people who will enrich our team with their motivation and personality!


We look forward to receiving your application with all the necessary documents .

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Job Detail

  • Job Id
    JD4132014
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Hamburg, HH, DE, Germany
  • Education
    Not mentioned