Senior Data & Analytics Engineer (Europe, 100% remote)

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)

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!