Senior Data & Analytics Engineer (Databricks/Power BI)

TL;DR

Senior Data & Analytics Engineer (Databricks/Power BI): Building and owning a product-grade data platform and BI layer for sustainable inflight service management with an accent on scalable ETL/ELT pipelines and semantic modeling. Focus on migrating vendor-built solutions to a modern lakehouse architecture and generating actionable customer insights to reduce CO2 emissions.

Location: Remote (Must be based in Europe)

Company

hirify.global provides sustainable inflight service management solutions to reduce food waste and CO2 emissions in the aviation industry.

What you will do

• Own the end-to-end data platform using Databricks and Microsoft Fabric, designing scalable pipelines and lakehouse architecture.
• Build and maintain Power BI semantic models, KPIs, and customer-facing embedded analytics.
• Translate business and customer needs into scalable data products and actionable insights.
• Implement CI/CD, testing, and versioning for data pipelines and BI assets.
• Reverse-engineer and migrate vendor-built BI solutions to a clean, modular internal architecture.
• Ensure data quality, reliability, and observability through validation scripts and monitoring.

Requirements

• 5+ years of experience in data or analytics engineering for customer-facing BI products.
• Proven track record in SaaS or product-driven environments.
• Expertise in Databricks (Spark/PySpark, Delta Lake) and Microsoft Fabric or Azure data stack.
• Advanced SQL and dimensional modeling (Kimball) skills.
• Experience with Power BI, including DAX and performance optimization.
• English: C1 level required.

Nice to have

• Knowledge of Azure infrastructure (IAM, networking).
• Experience with data quality/testing frameworks such as Great Expectations.

Culture & Benefits

• 100% remote work environment.
• Mission-driven culture focusing on zero-waste and CO2 reduction in aviation.
• Collaborative, diverse, and international team across 11 countries.
• Continuous learning opportunities.
• Two annual one-week team events.

Hiring process

• Recruiter screen (45 mins).
• Interview with the Hiring Manager (1 hour).
• Technical interview (1 hour).
• Discussion with founders and peers (1 hour).