Databricks Data Engineer / Solution Architect (On site or remote)

Jetfly Group is a leading European private aviation group headquartered in Luxembourg. With over 25 years of experience and more than 500 passionate professionals, we bring together specialized business units offering a complete aviation ecosystem, including fractional ownership, charter services, aircraft management, maintenance, and training.

Based in Luxembourg,   Jetfly Aviation   is the fractional ownership arm of the Jetfly Group. We operate a fleet of 70 Pilatus aircraft (PC-12 and PC-24), along with the Cirrus SF50, combining Swiss precision and exceptional service to deliver a refined private flying experience,  exclusively for over 450 co-owners across Europe.

We are looking for a Databricks Data Engineer / Solution Architect who can lead the design, implementation, and optimization of our data platform and pipelines. This person will be both a strategic thinker and a doer : designing architecture s , standards, best practices, and writing code, building pipelines, integrating data sources, ensuring reliability, performance and security.

Key Responsibilities

• Lead the end-to-end design, development, deployment and maintenance of data pipelines using Databricks , ensuring best practices in architecture, performance, scalability, reliability, and cost optimization.
• Architect solutions for ingestion, transformation, storage and serving layers ( e.g. streaming & batch), ensuring they meet business requirements (latency, volume, quality).
• Collaborate with stakeholders (operations, finance, safety, etc.) to understand business needs and translate them into technical requirement and data models.
• Define and enforce data governance, data quality, metadata management, security, access controls, lineage.
• Work with cloud infrastructure ( Az ure ) to provision, monitor and optimize data compute , storage , and networking resources.
• Implement CI / CD, testing, monitoring , alerting for data pipelines.
• Mentor and coach more junior engineers, define best practices, code reviews , knowledge sharing.
• Stay current with developments in Databricks, distributed systems, data engineering trends - propose innovations.
• Support data architecture decisions : what tools, frameworks, storage formats, etc. are appropriate .
• Troubleshoot performance issues, data discrepancies, failures; ensure high availability, disaster recovery.

Technical Skills :

and alerting.

Soft Skills :

accountability :

takes responsibility end-to-end.

teamwork : works well in cross-functional teams, mentoring / knowledge sharing.

Nice-to-Have :