DataOps Engineering Manager

• Lead, coach, and develop a team of 5+ DataOps Engineers through one-on-ones, mentoring, performance management, and career development
• Design, develop, test, and optimize data ingestion frameworks and production-grade pipelines using Azure Databricks, Azure Data Factory, and Apache Kafka
• Write code, solve complex engineering challenges, participate in code reviews, and maintain hands-on technical involvement
• Own the DataOps strategy and engineering roadmap
• Define technical priorities and guide the evolution of ingestion frameworks
• Introduce and strengthen CI/CD, automated testing, monitoring, logging, and error-handling practices within Data Engineering
• Collaborate with Data Architects, engineering leaders, product teams, and business stakeholders to translate requirements into scalable technical solutions
• Align priorities, manage expectations, communicate progress and risks, and support broader business objectives
• Improve pipeline performance, reliability, observability, and cost efficiency
• Establish engineering standards, address technical debt, troubleshoot production challenges, and improve data solution quality and maintainability

• Proven experience managing and developing engineering teams of 5+ people, ideally within Data Engineering, DataOps, or platform engineering
• Extensive practical experience designing, developing, and maintaining data ingestion pipelines using Azure Databricks, Azure Data Factory (ADF), and Apache Kafka
• Comfortable writing production-ready code, implementing ingestion frameworks, troubleshooting complex pipelines, and contributing directly to engineering deliverables
• Strong knowledge of CI/CD, automated testing, monitoring, logging, error handling, and performance optimization
• Experience working with Data Architects, engineering teams, and business stakeholders to translate requirements into technical solutions
• Ability to independently drive complex initiatives, manage competing priorities, make sound architectural decisions, and communicate technical trade-offs clearly
• Enjoy being both a people manager and an active engineer
• Value knowledge sharing, constructive feedback, and building reliable solutions

• Work from home arrangements, including up to 20 days a year anywhere in the EU
• Various internal and external training opportunities
• 30 days paid vacation per annum plus another day on Rosenmontag
• Option to take up to 10 days of unpaid vacation after one year working with the company
• Urban Sports Club membership (M package)
• Creative team events and regularly scheduled parties