Overview
Join to apply for the Head of Data Engineering (all genders) role at Condor Technik GmbH
Note: This posting includes responsibilities, qualifications, and context for the role.
Responsibilities
* Data Platform Ownership: Co-Own Condor’s data platform from ingestion to production, ensuring it supports analytics engineering, AI/ML scalable foundations, and advanced business use cases.
* Strategic Leadership: Define and execute the roadmap in alignment with Condor’s digital transformation, balancing long-term vision with short-term delivery.
* Hands-on Execution: Architect, mentor, code, and deliver—balancing leadership with active data engineering contributions.
* Engineering Excellence: Establish and enforce modern practices: CI/CD for data, testing frameworks, observability, automation, version control, and data contracts.
* Azure & Multi-Cloud Strategy: Accelerate adoption of Microsoft Fabric/Azure while ensuring platforms are multi-cloud-aware and adaptable.
* Mentorship & Capability Building: Coach, guide, and upskill data engineers—fostering a culture of continuous improvement and high performance.
* Cross-Functional Delivery: Partner with analytics engineering, data science, and business stakeholders to translate requirements into scalable data products and to support the innovation, development, and deployment of data models and algorithms to solve business problems.
Your Profile
* Proven Leadership: 10+ years in data engineering with 3–5 years leading teams and delivering complex platform initiatives—preferably cloud-native.
* Platform Transformation Experience: Hands-on in building production-grade data platforms, with emphasis on built-in observability, CI/CD pipelines, and AI readiness.
* Azure Expertise (with Multi-Cloud Savvy): Deep knowledge of Microsoft Fabric/Azure stack; comfortable integrating AWS/GCP capabilities as well as other legacy on premise servers to a new architecture.
* Strategic and Tactical Balance: Comfortable driving vision and architecture, yet eager to dive and drive into technical detail when needed.
* Data-as-a-Product Mindset: Experience shaping and delivering data-as-product frameworks, ensuring governed, reusable, and outcome-driven solutions.
* Technical Fluency: Strong in Python, SQL (expert-level), data modelling, orchestration, and building data analytical as well as operational systems e.g. leading system migration from SAP / legacy systems to the Azure Cloud.
* Mentorship Skills: Proven track record of developing engineering talent—raising both technical capabilities and delivery standards. Airline and/or touristic domains are highly encouraged yet not mandatory.
Benefits
* This is what you can look forward to as part of the Condor family: Atmosphere - through a friendly and motivated team and flat hierarchies
* Excitement - through an interesting and varied job in a fascinating industry
* Further development - through competent induction as well as training and development opportunities
* Benefits - through attractive travel discounts and social benefits in addition to industry-standard compensation
Seniorities & Employment
* Seniority level: Director
* Employment type: Full-time
* Job function: Engineering and Information Technology
* Industries: Airlines and Aviation
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