DataOps Engineering Manager

As Europe’s No.1 e-pharmacy Redcare Pharmacy is powered by passionate teams and cutting‑edge innovation. We strive to create a healthy collaborative work environment where every employee feels valued and inspired to contribute to our vision “Until every human has their health”. If you’re seeking a career that offers purpose and aligns with your values join us and start your #Redcareer today.

• People leadership experience: You have proven experience managing and developing engineering teams of 5+ people, ideally within Data Engineering, Data Ops, or platform engineering. You enjoy mentoring engineers, providing meaningful feedback, managing performance, and building a collaborative, high‑performing team.
• Hands-on Data Ops engineering expertise: You have extensive practical experience designing, developing, and maintaining data ingestion pipelines using Azure Databricks, Azure Data Factory (ADF), and Apache Kafka. You're comfortable writing production‑ready code, implementing ingestion frameworks, troubleshooting complex pipelines, and contributing directly to engineering deliverables. You have strong knowledge of CI/CD, automated testing, monitoring, logging, error handling, and performance optimization.
• Stakeholder management and technical ownership: You have experience working with Data Architects, engineering teams, and business stakeholders to translate requirements into technical solutions. You can independently drive complex initiatives, manage competing priorities, make sound architectural decisions, and communicate technical trade‑offs clearly.
• Balanced leadership mindset: You enjoy being both a people manager and an active engineer. You know when to empower your team and when to get directly involved in solving technical challenges. You value knowledge sharing, constructive feedback, and building reliable solutions together rather than managing engineering solely from a distance.

Are you an experienced engineering leader who enjoys developing people as much as building great technology? As our Data Ops Engineering Manager, you'll lead a team of 5+ engineers while remaining actively involved in hands‑on engineering, shaping our data ingestion capabilities and contributing directly to the solutions your team delivers. This role offers a unique opportunity to combine people leadership, hands‑on technical ownership, and stakeholder management, giving you the freedom to drive Data Ops initiatives independently while making a tangible impact on our data platform.

Our Data Ops environment is built around Azure Databricks, Azure Data Factory (ADF), and Apache Kafka for event streaming first, enabling scalable batch and event‑driven data ingestion solutions within Microsoft Azure. We embrace CI/CD automation, automated framework testing, monitoring, logging, error handling, and solution optimization to build robust, scalable, and maintainable data pipelines.

Lead, coach, and develop your team:
Take ownership of the people leadership of 5+ Data Ops Engineers, supporting their professional growth through regular one‑on‑ones, mentoring, performance management, and career development. You'll foster a culture of accountability, technical excellence, and continuous learning while creating an environment where engineers can thrive.

Stay hands‑on and build alongside your team:
Actively contribute to the design, development, testing, and optimization of data ingestion frameworks and production‑grade pipelines using Azure Databricks, ADF, and Kafka. You'll write code, solve complex engineering challenges, participate in code reviews, and lead by example, maintaining strong technical involvement alongside your management responsibilities.

Own the Data Ops strategy and…