Job Req Number: 115660
Arbeitszeitmodel: Vollzeit
Division: DEU - Schenker Aktiengesellschaft (Group)
Stadt: Essen
To further strengthen our Operational Excellence Team, we are searching for an Manager, Operational Excellence, Partner Integration (m/f/d).
Your Benefits*
- Financial Benefits: Capital-forming benefits, company pension scheme, employee discounts, DSV employee card with a monthly net credit, job bike, anniversary payments
- Health and Mobility: Supplementary health insurance (depending on division), screen work glasses, group accident insurance
- Onboarding: Extensive onboarding with an individual training plan
- Team: A great, dedicated, and motivated team, flat organizational structures, and an open working atmosphere
- Variety: A diverse range of tasks with significant decision-making freedom at a global player
- Flexibility: A modern workplace including a transparent flexitime policy and the option to work remotely
- Development: Regular training and development programs, e‑learning offerings, and initiatives such as Talents@DSV to keep your skills up to date. Tailored development programs are also possible.
Purpose of the position:
The Analytical Data Platform Services Team within Enterprise Business Development runs the analytical data platform, performs data onboarding for the operational data warehouse and analytical backbone, delivers analytics projects, and builds and operates end-to-end data applications. The Senior Teamlead Operational Data Services leads the team’s data engineers and is responsible for a core data cloud application – driving its development, service, and operation, and supporting on roadmap topics and vision. This is a hands-on leadership role that combines people leadership with strong, applied data engineering expertise. The role reports to the Senior Manager Data Onboarding, Analytics & Operational Data Services.
Key Responsibilities:
- Lead, develop, and manage a team of four: three data engineers and one service manager – setting direction, prioritizing work, and growing the team’s technical and delivery capabilities.
- Own a core data cloud application end to end, taking responsibility for driving its ongoing development, service, and reliable operation.
- Support roadmap topics and contribute to the vision for the application and the broader analytical data platform, translating strategic direction into concrete deliverables.
- Contribute hands-on to data engineering work, including data onboarding for the operational data warehouse and analytical backbone, building and maintaining data pipelines, and developing end-to-end data applications.
- Drive data quality, performance, and reliability across the platform and applications (completeness, timeliness, correctness), and deliver analytics projects that create value for the business.
- Participate in and contribute to Cross-functional Collaboration Teams as required
Requirements:
- Experienced senior data engineer with people leadership experience, combining a strong hands-on technical foundation in modern data engineering and cloud-based data environments with the ability to lead and develop a small engineering team.
- Understanding of data lake / lakehouse architectures and structured data processing (e.g., Delta Lake concepts)
- Experience with integration patterns in distributed systems (API-based integrations, event-driven architecture, message queues, batch vs. real-time processing)
- Knowledge of data modeling concepts (semantic models, canonical data models, mapping structures, enrichment logic)
- Practical experience with structured data formats such as JSON, XML, EDI, CSV, and working with APIs and API payloads
- Understanding of data quality frameworks, monitoring approaches, and data validation techniques
- Familiarity with CI/CD principles, DevOps practices, and version-controlled deployment in data environments
- Ability to translate business requirements into scalable technical solutions and to deliver them hands-on together with the team and IT
Education and Experience
- Master’s degree in related technical / business areas or equivalent work experience
- Proven experience as a senior data engineer, including experience leading or guiding people or teams
Skills and Competencies
General Operations Skills/Competencies:
- Good command, both verbal and written, English skills.
- Good communication skills as the role requires frequent communication to various directions and all management levels
- Ability to create collaborative engagements and active listening
- Strong analytical and conceptual capabilities
- Both a team builder and a team-player
Language and Computer Skills
- English is the principal language for this position, additional languages may be required in other locations.
- Ability to communicate effectively in a diverse multicultural environment.
- Highly proficient in MS Office
- Solid understanding of modern data architectures in cloud environments (preferably Microsoft Azure stack)
- Hands-on experience with Azure Data Factory (or comparable orchestration tools) for building, monitoring, and troubleshooting data pipelines
- Experience working with Databricks (Spark-based data processing), including transformation logic, data validation, and performance optimization
Your Contact:
David Miller
P&O Talent Acquisition Partner
[email protected]
https://www.dsv.com/de-de/karriere
Please apply with your complete application documents via Employee Central. This video shows you how to proceed with the internal application process:
Please submit your complete application documents. To do so, create a profile, save it, and then click “Apply” again at the end.
People with severe disabilities and those with equal status will be given preferential consideration if they are equally qualified.
- Benefits may vary depending on location or division.
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