Azure Data Engineer: Scalable Pipelines & Security

Osprey Flight Solutions; United States; A distancia; GBP 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Holiday

Pension

Private healthcare

Life insurance

Financial wellbeing

Family-friendly policies

Cycle to Work

Eyecare

Professional membership

Referral bonus

Descripción de la vacante

Osprey Flight Solutions Limited seeks a senior data engineer to design and maintain scalable Azure pipelines within DataNest’s Bronze, Silver and Gold layers. You’ll extend the MDП framework for rapid onboarding, using Azure Data Factory, Functions (Python) and SQL Managed Instance to deliver production-grade pipelines.

You’ll own security aspects (RBAC, encryption) and collaborate with Data Science, Product and Engineering to turn raw data into trusted analytics and client-facing inputs.

Formación

• Extensive experience designing scalable data pipelines in Azure.
• Strong Python for data engineering and Azure tooling.
• Knowledge of medallion architecture and metadata-driven ETL.

Responsabilidades

• Design, build and maintain scalable pipelines across DataNest Bronze, Silver and Gold.
• Extend the metadata-driven pipeline framework for rapid onboarding.
• Build production pipelines using Azure Data Factory, Functions (Python) and SQL MI.
• Own security: row-level security, RBAC, encryption for ISO 27001 compliance.
• Collaborate with Data Science, Product and Engineering to deliver trusted data.

Conocimientos

Azure data pipelines

Python (data eng)

Azure Data Factory

Azure SQL Managed Instance

ADLS

Medallion architecture

DataOps

SQL

Descripción del empleo

Osprey Flight Solutions Limited seeks a senior data engineer to design and maintain scalable Azure pipelines within DataNest’s Bronze, Silver and Gold layers. You’ll extend the MDП framework for rapid onboarding, using Azure Data Factory, Functions (Python) and SQL Managed Instance to deliver production-grade pipelines.

You’ll own security aspects (RBAC, encryption) and collaborate with Data Science, Product and Engineering to turn raw data into trusted analytics and client-facing inputs.