Jobtailor Essen vor 5 Tagen

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

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Responsibilities 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. Participate in and contribute to cross-functional collaboration teams as required.

Qualifications 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 #J-18808-Ljbffr 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.

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