About the role
Join our fully remote, mission-driven team dedicated to pioneering sustainable inflight service management. Work on innovative technology solutions with global impact, collaborate within a diverse, international environment, and continuously enhance your skills through ongoing learning opportunities.
Headquartered in Zurich, Switzerland with team members across 11 countries, we offer a dynamic and engaging company culture that celebrates creativity, collaboration, and inclusion.
About the role
We are hiring a Senior Data & Analytics Engineer to take end-to-end ownership of our data platform and BI layer.
We are on a mission to contribute to a zero-waste future by drastically reducing food waste, fuel consumption, costs, and most importantly, CO₂ emissions in the airline industry. Every role in our company is a direct contributor to this vision - and as a Senior Data & Analytics Engineer you will be at the forefront of turning data into meaningful insights, empowering our customers to effectively use them and drive real impact.
You will evolve a vendor-built BI solution into a modern, product-grade data platform and ensure that data is transformed into scalable, trusted, and actionable insights for both our customers and internal teams. You’re not just building dashboards, you’re enabling better decisions and measurable impact.
This role combines:
Data Engineering (pipelines, processing, customer facing exports, platform)
Analytics Engineering (modeling, KPIs, semantic layer)
Data Product Ownership (customer impact, insight generation)
What You’ll Own
Platform, Architecture & Pipelines
Own the end-to-end data platform (Databricks and Microsoft Fabric)
Design and operate scalable pipelines and lakehouse architecture
Build scalable ETL/ELT workflows and manage batch/near real-time processing
Ensure data quality, reliability, observability, and performance
Define standards, data contracts, and architecture principles (clean, modular, scalable data platform)
Optimize cost (e.g. Databricks jobs) and workload distribution across platforms
Data Modeling & Semantic Layer
Own Power BI semantic models and KPIs
Build clean, scalable dimensional models (star schema)
Ensure performance and consistency of DAX, aggregations, and dataset refresh
Customer-Facing Analytics
Build and maintain customer-facing dashboards and embedded analytics
Ensure consistent and trusted metrics across all outputs
Enable self-service analytics with governance
Maintain and monitor customer facing exports
Data as Product
Translate business and customer needs into scalable data solutions
Define KPIs and reporting standards with Product
Proactively build insights and identify opportunities to create additional customer value
Drive measurable customer and business impact
Platform Quality, Operations, Security & Governance
Build necessary validation scripts, unit tests, data quality checks
Implement CI/CD, testing, and versioning for pipelines and BI
Support multi-tenant architecture, security, and governance
Implement monitoring and alerting (pipelines, refreshes)
Migration & Insourcing (Initial Focus)
Take ownership of a vendor-built BI solution
Reverse-engineer pipelines, logic, and reports
Reduce technical debt and rebuild toward a clean architecture
What We’re Looking For
Experience
5+ years in data engineering / analytics engineering for customer-facing BI products
Experience in SaaS or product-driven environments
Proven track record building scalable data platforms and customer-facing analytics
Technical & Platform Skills
Strong experience with:
Databricks (Spark / PySpark, Delta Lake)
Microsoft Fabric or Azure data stack
Power BI (data modeling, DAX, performance)
Advanced SQL and dimensional modeling (Kimball) expertise
Lakehouse architecture & ETL/ELT design
Multi-tenant data models & embedded analytics
Engineering Practices
CI/CD for data pipelines and BI assets
Write reusable, modular, maintainable and testable code.
Monitoring and data quality practices
Version control (e.g., Git)
Nice-to-have
Azure infrastructure knowledge (IAM, networking)
Data quality/testing frameworks (e.g., Great Expectations)
Mindset
Strong ownership and autonomy: You take full ownership of outcomes, not just tasks
Impact-driven: You focus on real-world results and have strong intuition for identifying patterns, anomalies, and optimization opportunities
Product thinker: You connect data to user value and turn raw data into clear, actionable insights
Proactive: You proactively identify opportunities, validate ideas, and build reports, dashboards, and analyses without waiting for requirements.
Domain expert: You understand business contexts quickly and translate problems into effective data solutions.
Pragmatic: You prioritize simplicity and avoid overengineering, focusing on what delivers value.
Clear communicator: You communicate effectively across technical and business stakeholders, making complex topics easy to understand.
Language
Min. English C1
Expected travel needs
2 annual one-week team events
Our Tech Stack
C# (.NET 8–10), ASP.NET Core, Entity Framework Core
Microsoft SQL Server, Azure Blob Storage
Azure App Services & Functions, Docker
Azure Service Bus, Terraform
GitHub Actions, SonarQube, extensive unit & integration tests
Angular Latest Version
Databricks and Azure Fabric
Hiring Process
Recruiter Screen (45 mins)
Interview with the Hiring Manager (1 hour)
Technical interview (1 hour)
Discussion with founder(s) and peer(s) (1 hour)
LimeFlight is proud to be an equal opportunity employer.
We are committed to creating an inclusive environment where everyone regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background can thrive and do their best work.
Join us and be part of a team committed to shaping a zero-waste future for aviation, where your ideas and passion truly matter.
Let’s talk!
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