Job Description
Condor – passion is our compass! And that's more than just a claim, it's our DNA: As Germany's most popular vacation airline, we take our guests to the world's most beautiful vacation destinations. Every year, over nine million passengers fly with Condor aboard our more than 50 aircraft to around 90 destinations in Europe, Africa and North America. From the fall of 2022, Condor will be the German launch customer for new long-haul Airbus A330neo aircraft of the latest generation, which, thanks to state-of-the-art technology, is the European leader in fuel consumption of 2.1 liters per passenger per 100 kilometers while offering the highest level of customer comfort. Our more than 4,000 employees on the ground and in the air give their best every day with passion, dedication and know-how and are writing the next chapters in our 66-year history. We are ready for take-off! Are you too? Become part of the Condor family now and apply for a job with us!
Senior Analytics Engineer (all genders)
- Modelling: Design, build, and maintain production-grade data models and semantic layers that serve as the foundation for consistent and scalable business reporting
- Metrics Governance: Encode core KPIs and business logic in the backend—ensuring accuracy, reusability and performance across all analytics and dashboard use cases
- Self-Service Enablement: Deliver well-structured datasets and Power BI models that empower non-technical users to access, explore and act on data independently
- Business Partnership: Act as a strategic partner to business stakeholders—translating their needs into scalable technical solutions and guiding them toward best-practice analytics
- Documentation & Transparency: Own the documentation of metric definitions, data models, and dependencies—creating a reliable knowledge base and audit trail for analytics
- Quality & Performance: Implement best practices in data testing, validation, and performance tuning to ensure high-quality, fast and trustworthy analytics experiences
- Collaboration: Work closely with data engineers, data product managers, and governance leads to ensure alignment on architecture, naming standards, access controls and roadmap planning
- Experience: 5+ years in analytics engineering, BI development, or data modeling roles—ideally in environments with enterprise-scale data and self-service goals
- Technical Proficiency: Strong SQL and experience with dbt or equivalent ELT modeling tools; hands-on experience with Azure Data Services and/or Snowflake
- Power BI Expertise: Deep knowledge of Power BI, including DAX, semantic modeling, and performance tuning; able to build scalable, maintainable reporting layers
- KPI Logic Ownership: Proven ability to define, document, and centralize critical business metrics in code — ensuring consistency across teams and use cases
- Version Control & CI/CD: Familiar with Git-based workflows and modern analytics engineering practices (e.g., testing, staging, automation)
- Business Acumen: Strong communication skills and a strategic mindset—able to partner with business teams and translate needs into data solutions
- Detail Orientation: Passion for clean, tested, well-documented data models that balance flexibility with governance and long-term maintainability
- Languages: Business-fluent English skills and a good command of German both written and spoken
- 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