Senior Team Lead, Operational Data Services, Analytical Data Platform Services; m​/f​/d

• Manager, Operational Excellence, Partner Integration (m/f/d)

To further strengthen our Operational Excellence Team, we are searching for a Manager, Operational Excellence, Partner Integration (m/f/d).

• 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.

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.

• 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.

• 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, Dev Ops 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.

• 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