The project focuses on building a cloud-based logistics analytics platform that provides standardized high-quality reporting and insights across complex global supply chain processes. The solution is designed to support data-driven decision-making by making logistics data transparent reliable and easy to consume for business users across multiple organizational units.
Built on modern cloud technologies the platform combines scalable data warehousing automated data pipelines and strong data governance to transform large volumes of logistics data into trusted KPIs and analytical datasets. It plays a critical role in improving efficiency visibility and operational performance across the end-to-end logistics value stream.
Were looking for someone who truly understands data flows thinks analytically and can see the bigger picture beyond individual tasks. If youre curious ask the right questions and enjoy bringing smart ideas to the table were open to some flexibility in specific requirements. Finding the right person matters more to us than ticking every box.
Responsibilities
- Implement business logic in the Data Warehouse in accordance with functional and technical specifications.
- Perform light business analysis to ensure data is delivered accurately and in a meaningful business-relevant way.
- Translate business requirements into scalable and efficient data models.
- Design build and maintain ETL pipelines usingAzure Data Factory.
- Optimize data loading processes and tune query performance.
- Collaborate closely with senior stakeholders on the customer side to refine requirements and propose data-driven improvements.
- Actively contribute ideas and solutions to improve data architecture and pipeline reliability.
Requirements
- 3 years of experience working withMicrosoft Azure and readiness to work primarily with SQL (up to 80% of the time).
- Proven experience in database development usingMS SQL Server / T-SQL.
- Ability to write highly performant SQL and implement performance optimization techniques.
- Hands-on experience with version control systems (e.g.Git).
- Solid understanding ofdata warehousing concepts and dimensional modeling.
- Experience working in an Agile development environment.
- Practical knowledge of creating and maintainingAzure DevOps and Azure Data Factory pipelines.
- Experience developing robust data pipelines usingdbt.
- Ability to work 9:00 - 17:00 CET time zone (working hours).
Nice to Have
- Experience with Databricks.
- Background in Supply Chain & Logistics projects.
- Familiarity with SAP MM data structures.
We offer*:
- Flexible working format - remote office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program tech talks and trainings centers of excellence and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
*not applicable for freelancers
Required Experience:
IC
The project focuses on building a cloud-based logistics analytics platform that provides standardized high-quality reporting and insights across complex global supply chain processes. The solution is designed to support data-driven decision-making by making logistics data transparent reliable and ea...
The project focuses on building a cloud-based logistics analytics platform that provides standardized high-quality reporting and insights across complex global supply chain processes. The solution is designed to support data-driven decision-making by making logistics data transparent reliable and easy to consume for business users across multiple organizational units.
Built on modern cloud technologies the platform combines scalable data warehousing automated data pipelines and strong data governance to transform large volumes of logistics data into trusted KPIs and analytical datasets. It plays a critical role in improving efficiency visibility and operational performance across the end-to-end logistics value stream.
Were looking for someone who truly understands data flows thinks analytically and can see the bigger picture beyond individual tasks. If youre curious ask the right questions and enjoy bringing smart ideas to the table were open to some flexibility in specific requirements. Finding the right person matters more to us than ticking every box.
Responsibilities
- Implement business logic in the Data Warehouse in accordance with functional and technical specifications.
- Perform light business analysis to ensure data is delivered accurately and in a meaningful business-relevant way.
- Translate business requirements into scalable and efficient data models.
- Design build and maintain ETL pipelines usingAzure Data Factory.
- Optimize data loading processes and tune query performance.
- Collaborate closely with senior stakeholders on the customer side to refine requirements and propose data-driven improvements.
- Actively contribute ideas and solutions to improve data architecture and pipeline reliability.
Requirements
- 3 years of experience working withMicrosoft Azure and readiness to work primarily with SQL (up to 80% of the time).
- Proven experience in database development usingMS SQL Server / T-SQL.
- Ability to write highly performant SQL and implement performance optimization techniques.
- Hands-on experience with version control systems (e.g.Git).
- Solid understanding ofdata warehousing concepts and dimensional modeling.
- Experience working in an Agile development environment.
- Practical knowledge of creating and maintainingAzure DevOps and Azure Data Factory pipelines.
- Experience developing robust data pipelines usingdbt.
- Ability to work 9:00 - 17:00 CET time zone (working hours).
Nice to Have
- Experience with Databricks.
- Background in Supply Chain & Logistics projects.
- Familiarity with SAP MM data structures.
We offer*:
- Flexible working format - remote office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program tech talks and trainings centers of excellence and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
*not applicable for freelancers
Required Experience:
IC
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