Senior Analytics Engineer (all genders)

GuideCom GmbH; Neu-Isenburg; Vor Ort; EUR 40.000 - 60.000; Vollzeit

Jobbeschreibung

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

Your future tasks:

• 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

Your profile with a passion for aviation:

• 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
• MS Fabric & 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 in german both written and spoken