At Condor, we're passionate about innovation and customer satisfaction. Our Senior Analytics Engineer role is a key part of our data-driven strategy, empowering us to make informed decisions and deliver exceptional experiences.
Sought after Skills:
1. Data Modelling: Develop robust, scalable data models that underpin our business reporting capabilities.
2. Metric Governance: Ensure accuracy, reusability, and performance across all analytics and dashboard use cases.
3. Self-Service Enablement: Provide well-structured datasets and Power BI models for non-technical users to access, explore, and act on data independently.
4. Business Partnership: Collaborate with stakeholders to translate their needs into scalable technical solutions.
5. Documentation & Transparency: Own the documentation of metric definitions, data models, and dependencies, creating a reliable knowledge base and audit trail for analytics.
6. Quality & Performance: Implement best practices in data testing, validation, and performance tuning to ensure high-quality, fast, and trustworthy analytics experiences.
7. Collaboration: Work closely with data engineers, data product managers, and governance leads to ensure alignment on architecture, naming standards, access controls, and roadmap planning.
8. Experience: 5+ years in analytics engineering, BI development, or data modeling roles – ideally in environments with enterprise-scale data and self-service goals.
9. Technical Proficiency: Strong SQL and experience with dbt or equivalent ELT modeling tools; hands-on experience with Azure Data Services and/or Snowflake.
10. Power BI Expertise: Deep knowledge of Power BI, including DAX, semantic modeling, and performance tuning; able to build scalable, maintainable reporting layers.
11. KPI Logic Ownership: Proven ability to define, document, and centralize critical business metrics in code – ensuring consistency across teams and use cases.
12. Version Control & CI/CD: Familiar with Git-based workflows and modern analytics engineering practices (e.g., testing, staging, automation).
13. Business Acumen: Strong communication skills and a strategic mindset – able to partner with business teams and translate needs into data solutions.
14. Detail Orientation: Passion for clean, tested, well-documented data models that balance flexibility with governance and long-term maintainability.
15. Languages: Business-fluent English skills and a good command of German both written and spoken.
* A dynamic team environment
* An exciting and varied job in a fascinating industry
* Competent induction as well as training and development opportunities
* Attractive travel discounts and social benefits in addition to industry-standard compensation
We're looking for talented professionals who share our passion for innovation and customer satisfaction. If you're a motivated individual with a strong analytical background, we encourage you to apply.
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