Einleitung

Arbeitgeber: PM-International AG''

Einsatzort: 67346 Speyer

PM-International AG is a European family-owned company with 32 years of market success in the distribution of high-quality products for health, fitness and beauty. With our self-developed FitLine® brand nutritional supplements and cosmetics, we consciously focus on the premium segment and innovative product concepts.

As a continuously expanding international group of companies, we are represented in more than 40 countries around the globe with our own branches and have received numerous awards for our solidity, financial strength, employee management and innovative character. At the same time, the PM-International Group is the supplier to many major sports associations.

To strengthen our BI team at the Speyer location, we are now looking for a full-time employee as a

ETL & BI Developer (m/w/d)

Referencenumber 262

Ihre Aufgaben

• Design, develop, and maintain ETL pipelines for extracting and transforming data from SQL Server–based systems
• Work across data domains including Sales, Finance, Commissions, Logistics, Procurement, and CRM
• Ensure data accuracy, consistency, and readiness for consumption by BI platforms
• Collaborate with business stakeholders to gather reporting and data requirements
• Optimize data transformation logic for performance and maintainability
• Support data delivery into Qlik Sense, Power BI, or Azure Synapse Analytics
• Troubleshoot and resolve issues in data flows, transformations, or report outputs

Ihr Profil

• 3+ years of professional experience in ETL development (SSIS, stored procedures, scripting, etc.)
• Strong SQL skills and experience working with SQL Server as a primary data source
• Hands-on experience working with large, multi-source transactional systems
• Familiarity with one or more BI/reporting tools (Qlik Sense preferred, Power BI)
• Understanding of data modeling and dimensional design principles
• Fluent english skills are necessary, german language skills are a plus

Desirable but not essential requirements:

• Exposure to Azure Data Factory, Synapse Analytics, or Databricks

• Ability to write Python scripts or use automation tools

• Familiarity with data governance, security, and compliance (GDPR, access control, etc.)

• Experience working across business domains such as:

  Sales and revenue, Finance and general ledger, Commissions and payouts, Procurement and inventory, Logistics and fulfillment, Customer and partner data