DataOps Engineering Manager

Job not on LinkedIn

🕒 October 15

🇩🇪 Germany – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♀️ Software Engineering Manager

👻 Ghost score 25%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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SHOP APOTHEKE EUROPE

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

⚕️ Healthcare Insurance

🛒 Retail

Healthcare • Healthcare Insurance • Retail

SHOP APOTHEKE EUROPE is a pharmacy company focused on providing healthcare and pharmaceutical services within Europe. Operating under the brand name Redcare, it emphasizes a people-first approach to pharmacy, aiming to guide individuals through their health journeys. The company is committed to sustainability, aligning its strategies with the Paris Climate Agreement to contribute positively to environmental health. SHOP APOTHEKE EUROPE also engages in public affairs, investor relations, and offers career opportunities for those interested in joining their mission-driven team.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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

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