Key Tasks:
- Operate and develop a framework to ingest, merge, and post-process data from data lake for Airfreight
- Consult and collaborate with Business Analysts and IT&D AO Delivery Cluster Data and Integration
- Monitor performance, drive quality standards, and drive continuous improvement for data processing and related activities
- Maintain and drive consistent documentation of business logics, data flows, data aggregation logics and measure definitions
Tasks & Responsibilities:
- Operate the “Air Data Cloud” for the ingestion, merging, and post-processing of business data
- Design and maintain scalable business data pipelines
- Integrate business data from various internal and external sources
- Implement, comply with, and enforce standard data/measure definitions based on requirements
- Implement data processing scripts
- Monitor performance and drive continuous improvements
- Collaborate on standardization and quality assurance
- Setup and monitor Power-Bi-Service for “Air Data Cloud”
- Provide and monitor data feeds
- Monitor reports, premium capacity metrics and drive resolution of refresh and performance issues with required stakeholders
- Ensure high data quality in collaboration with business requestor
- Implement and monitor Row-Level-Security framework
- Drive continuous improvement (stability, resilience, performance) in front- and back-end utilizing insights generated from daily operations, log files and incident reviews
- Maintain and drive consistent documentation
- Development, monitoring/recovery process
- Published on a collaboration platform (i.e., confluence, intranet)
To be successful in the above role, the incumbent should possess/ display the following key skills/ attributes:
Experience
- Minimum 5 years job experience in technical data architecture (cloud analytics)
- Experience in Forwarding, Transportation or Logistics Industry (would be a plus)
Skills
- Proficient in SQL, Power BI Desktop, Power BI Service concepts and workspace admin
- Experience with Azure Services (especially Data Factory, Databricks, Log Analytics Workspace, Data Lake Storage) or comparable cloud services
- Experience with Confluence/Jira, Power BI premium capacity monitoring and other power platform features would be a plus
- Analytical skills and structured approach, detail-oriented mentality and data-driven
- Monitoring, debugging and problem-solving experience
- Proactive, result oriented and customer focused
- Team spirit and excellent communication & networking skills
- Business proficient English
Beneficios:
At DB Schenker, you are part of a global logistics network that connects the world. A network that allows you to shape your career by encouraging you to contribute and truly make a difference. With more than 76,000 colleagues worldwide, we welcome diversity and thrive on individual backgrounds, perspectives and skills. Together as one team, we are Here to move.
Global Air Freight Processes & Optimization is driving process standardization and optimization for airfreight globally – and for that, reliable data is essential. When creating and utilizing the new data management landscape, the business data engineer will be a core team member.
Do you have any further questions?
Do not hesitate to contact us.
We look forward to receiving your call/email!
Schenker AG
Kruppstraße 4
45128 Essen
Germany
Phone: +49 201-8781-5525
recruitment.headoffice@dbschenker.com
* Equal Opportunity Employer: at DB Schenker we are proud of our diverse workforce and we are committed in enhancing it further. Therefore, we welcome all applicants, regardless of gender, age, disability, nationality, religion or sexual orientation.