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

This is a fully remote position, open to applicants in Germany.

📋 Description

• Lead, develop, and oversee a team of four data engineers and service managers.

• Establish direction, prioritize tasks, and enhance the team’s technical and delivery skills.

• Take ownership of a core data cloud application from inception to completion, including ongoing development, service, and dependable operation.

• Support roadmap initiatives and contribute to the vision for the application and analytical data platform.

• Convert strategic objectives into actionable deliverables.

• Engage directly in data engineering tasks.

• Conduct data onboarding for the operational data warehouse and analytical infrastructure.

• Construct and sustain data pipelines.

• Create comprehensive data applications.

• Enhance data quality, performance, and reliability across the platform and its applications.

• Execute analytics projects that generate business value.

• Participate in and contribute to cross-functional collaboration teams as necessary.

• Report to the Senior Manager of Data Onboarding, Analytics & Operational Data Services.

⛳️ Requirements

• Seasoned senior data engineer with leadership experience in managing teams.

• Strong practical technical background in contemporary data engineering and cloud-based environments.

• Proficient understanding of data lake/lakehouse architectures and structured data processing, including Delta Lake principles.

• Experience with integration strategies in distributed systems, such as API-based integrations, event-driven architecture, message queues, and batch versus real-time processing.

• Familiarity with data modeling concepts, comprising semantic models, canonical data models, mapping structures, and enrichment logic.

• Hands-on experience with JSON, XML, EDI, and CSV formats.

• Experience in working with APIs and their payloads.

• Understanding of data quality frameworks, monitoring techniques, and data validation methods.

• Knowledge of CI/CD principles, DevOps methodologies, and version-controlled deployment in data environments.

• Capability to translate business needs into scalable technical solutions and implement them collaboratively with the team and IT.

• Master’s degree in relevant technical/business fields or equivalent professional experience.

• Demonstrated expertise as a senior data engineer, including leading or mentoring teams.

• Effective verbal and written communication skills in English.

• Strong communication abilities.

• Excellent analytical and conceptual thinking skills.

• Ability to work collaboratively and engage in active listening.

• Highly skilled in MS Office applications.

• Solid grasp of modern data architectures in cloud settings, ideally with Microsoft Azure.

• Hands-on experience with Azure Data Factory or similar orchestration tools.

• Experience with Databricks, including transformation logic, data validation, and performance enhancement.

• Ability to effectively communicate in a diverse multicultural environment.

🏝️ Benefits

• 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.

• Comprehensive onboarding with an individualized training plan.

• Flat organizational structures and a welcoming work atmosphere.

• Modern workplace with a transparent flexitime policy.

• Option to work remotely.

• Regular training and development opportunities.

• E-learning programs.

• Talents@DSV initiatives.

• Customized development programs.