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Building a product-grade data platform on Databricks and Microsoft Fabric for sustainable inflight service management. 5+ years data engineering for customer-facing BI products required. Fully remote, ongoing learning opportunities.
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Anforderungen
- 5+ years 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
- 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
- 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)
- Azure infrastructure knowledge (IAM, networking)
- Data quality/testing frameworks (e.g., Great Expectations)
- Strong ownership and autonomy
- Impact-driven focus on real-world results and identifying patterns/anomalies/optimizations
- Product thinker connecting data to user value and actionable insights
- Proactive identification of opportunities and building reports/dashboards/analyses
- Domain expert understanding business contexts and translating problems to data solutions
- Pragmatic prioritization of simplicity and value delivery
- Clear communicator across technical and business stakeholders
- English C1 level
- Attend 2 annual one-week team events
Aufgaben
- Take end-to-end ownership of the data platform and BI layer
- Evolve a vendor-built BI solution into a modern, product-grade data platform
- Transform data into scalable, trusted, and actionable insights
- Own the end-to-end data platform using Databricks and Microsoft Fabric
- Design and operate scalable pipelines and lakehouse architecture
- Build scalable ETL/ELT workflows
- Manage batch and near real-time data processing
- Ensure data quality, reliability, observability, and performance
- Define standards, data contracts, and architecture principles
- Optimize cost and workload distribution across platforms
- Own Power BI semantic models and KPIs
- Build clean, scalable dimensional models using star schema
- Ensure performance and consistency of DAX, aggregations, and dataset refresh
- 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
- Translate business and customer needs into scalable data solutions
- Define KPIs and reporting standards with Product
- Proactively build insights and identify opportunities for customer value
- Drive measurable customer and business impact
- Build necessary validation scripts, unit tests, and data quality checks
- Implement CI/CD, testing, and versioning for pipelines and BI
- Support multi-tenant architecture, security, and governance
- Implement monitoring and alerting for pipelines and refreshes
- Take ownership of a vendor-built BI solution
- Reverse-engineer pipelines, logic, and reports
- Reduce technical debt and rebuild toward a clean architecture
Berufserfahrung
Ausbildung
Sprachen
Tools & Technologien
Benefits
- Fully remote
- 100% remote
- Ongoing learning opportunities
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens LimeFlight erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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The company is dedicated to pioneering sustainable inflight service management and contributing to a zero-waste future.
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