Senior Team Lead, Operational Data Services, Analytical Data Platform Services

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Senior Team Lead leading data engineers in operational data services at DSV, a global logistics company. Overseeing development and operations of data platforms with a focus on analytics and quality.

Posted 6/9/2026full-timeEssen • 🇩🇪 GermanySeniorWebsite

Tech Stack

Tools & technologies

CloudDistributed Systems

About the role

Key responsibilities & impact

Lead, develop, and manage a team of four: three data engineers and one service manager – set direction, prioritize work, and grow the team’s technical and delivery capabilities.
Own a core cloud data application end to end, taking responsibility for driving its ongoing development, service, and reliable operation.
Support roadmap initiatives 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

What you’ll need

Experienced senior data engineer with people leadership experience
Strong hands-on technical foundation in modern data engineering and cloud-based data environments
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

Benefits

Comp & perks

Capital-forming benefits
Company pension scheme
Employee discounts
DSV employee card with a monthly net credit
Job bike
Anniversary payments
Supplementary health insurance (depending on division)
Screen work glasses
Group accident insurance
Extensive onboarding with an individual training plan
A great, dedicated, and motivated team
Flat organizational structures
An open working atmosphere
A diverse range of tasks with significant decision-making freedom at a global player
A modern workplace including a transparent flexitime policy and the option to work remotely
Regular training and development programs
E-learning offerings
Initiatives such as Talents@DSV to keep your skills up to date
Tailored development programs are also possible

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Hard Skills & Tools

data engineeringcloud data environmentsdata lake architecturestructured data processingAPI-based integrationsevent-driven architecturedata modelingstructured data formatsdata quality frameworksCI/CD principles

Soft Skills

people leadershipcross-functional collaborationtechnical directionprioritizationcommunicationproblem-solvingteam managementstrategic thinkinghands-on developmentdelivery capabilities