Remote Senior Data & Analytics Engineer — Trusted Platforms

Jobgether; France; À distance; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Fully remote Europe

Ownership of data platform

BI ecosystem ownership

Impact on aviation sustainability

International team

Continuous learning

Two annual team events

Résumé du poste

Jobgether is seeking a Senior Data & Analytics Engineer for a fully remote Europe-wide role. You will own a modern data platform and BI layer, delivering customer-facing analytics, robust pipelines, and governance to drive measurable environmental and operational impact in aviation.

Influence spans data engineering, analytics, and product ownership across a multi-tenant SaaS context. You will design and operate ETL/ELT workflows, mature data quality, and build Power BI models and dashboards,

Qualifications

• 5+ years of experience in data engineering or analytics engineering.
• Experience building scalable data platforms and customer-facing analytics in SaaS.
• Strong hands-on with Databricks, Spark/PySpark, and Delta Lake.
• Experience with Microsoft Fabric and Azure data ecosystem.
• Advanced Power BI data modelling, DAX, performance and semantic models.
• Advanced SQL and dimensional modelling (Kimball).
• Knowledge of lakehouse architecture, ETL/ELT design, multi-tenant models.
• CI/CD for data pipelines and BI assets; Git version control.
• Engineering discipline: modular, maintainable, testable code.
• Data quality, monitoring, testing practices; Great Expectations an advantage.
• Azure IAM/ Networking knowledge a plus.
• Ownership, autonomy; product-oriented mindset; customer value focus.
• English proficiency C1.
• Willingness to participate in two annual one-week team events.

Responsabilités

• Take end-to-end ownership of the data platform (Databricks, Fabric, lakehouse).
• Design, build, and operate robust ETL/ELT workflows for batch and near-real-time data.
• Maintain data quality, reliability, observability, performance, and standards.
• Define data contracts and scalable, modular architecture; optimise costs.
• Own Power BI semantic models, KPIs, dimensional models, and dataset refreshes.
• Build customer-facing dashboards and data exports with trusted metrics.
• Enable governed self-service analytics and secure multi-tenant models.
• Translate customer needs into scalable data products; define reporting standards.
• Implement testing, validation, monitoring, CI/CD, and versioning for pipelines.
• Lead transition from vendor BI to product-grade architecture; reduce debt.
• Identify patterns and opportunities to deliver measurable impact.

Connaissances

Power BI

SQL

Data modelling

Analytical thinking

Communication

Ownership

Autonomy

Product-minded

Outils

Databricks

Delta Lake

Microsoft Fabric

Azure

Git

Description du poste

Jobgether is seeking a Senior Data & Analytics Engineer for a fully remote Europe-wide role. You will own a modern data platform and BI layer, delivering customer-facing analytics, robust pipelines, and governance to drive measurable environmental and operational impact in aviation.

Influence spans data engineering, analytics, and product ownership across a multi-tenant SaaS context. You will design and operate ETL/ELT workflows, mature data quality, and build Power BI models and dashboards,