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DataOps Engineering Manager (m/w/x)
Building production-grade data pipelines with Azure Databricks, ADF, and Kafka for Europe's No.1 e-pharmacy. People leadership experience with 5+ engineers required. Remote work flexibility, 30 days vacation.
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Anforderungen
- People leadership experience (5+ engineers)
- Experience mentoring engineers
- Performance management experience
- Building collaborative teams
- Experience in Data Engineering, DataOps, or platform engineering
- DataOps engineering expertise
- Designing data ingestion pipelines
- Developing data ingestion pipelines
- Maintaining data ingestion pipelines
- Writing production-ready code
- Implementing ingestion frameworks
- Troubleshooting complex pipelines
- Contributing to engineering deliverables
- Strong knowledge of CI/CD
- Strong knowledge of automated testing
- Strong knowledge of monitoring
- Strong knowledge of logging
- Strong knowledge of error handling
- Strong knowledge of performance optimization
- Stakeholder management experience
- Technical ownership experience
- Translating requirements to technical solutions
- Driving complex initiatives independently
- Managing competing priorities
- Making sound architectural decisions
- Communicating technical trade-offs clearly
- Balanced leadership mindset
- Empowering team members
- Direct involvement in technical challenges
- Valuing knowledge sharing
- Providing constructive feedback
- Building reliable solutions together
Aufgaben
- Lead, coach, and develop a team of 5+ DataOps Engineers
- Foster a culture of accountability, technical excellence, and continuous learning
- Contribute to the design, development, testing, and optimization of data ingestion frameworks
- Build production-grade pipelines using Azure Databricks, ADF, and Kafka
- Write code and solve complex engineering challenges
- Participate in code reviews and lead by example
- Drive DataOps initiatives and define technical priorities
- Guide the evolution of data ingestion frameworks
- Introduce and strengthen DevOps practices within Data Engineering
- Implement CI/CD, automated testing, monitoring, logging, and error handling
- Balance delivery commitments with long-term platform scalability and reliability
- Collaborate with Data Architects, engineering leaders, product teams, and business stakeholders
- Translate requirements into scalable technical solutions
- Align priorities, manage expectations, and communicate progress and risks
- Ensure engineering initiatives support broader business objectives
- Improve pipeline performance, reliability, observability, and cost efficiency
- Establish engineering standards and address technical debt
- Troubleshoot production challenges
- Encourage continuous improvement of data solutions
Berufserfahrung
Ausbildung
Sprachen
Tools & Technologien
Benefits
- Remote work flexibility
- Training support
- 30 days paid vacation
- Extra vacation day (Rosenmontag)
- Unpaid vacation option
- Urban Sports Club membership
- Team events and parties
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens Redcare Pharmacy erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Zur Originalanzeige bei Redcare PharmacyÜber das Unternehmen
Redcare Pharmacy is Europe’s No.1 e-pharmacy, focused on creating a healthy, collaborative work environment and innovative healthcare solutions.
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