Data Engineer MongoDB

As a MongoDB Data Engineer, you will be a key contributor in architecting, modelling, and developing data solutions using MongoDB to support our document and metadata workflows. You will collaborate closely with cross-functional teams to deliver scalable, performant, and secure data platforms, with exposure to Azure cloud infrastructure.

You will play a central role in modelling document and transactional data, building aggregation and reporting pipelines, and ensuring best practices in database performance and reliability,including deploying, configuring, and tuning self-hosted MongoDB environments.

You will work in a start-up-like environment but with the scale and mission of a global business behind you.

The Role:

• Design, develop, and optimize MongoDB data models for various business and analytics use cases.
• Implement and maintain efficient MongoDB CRUD operations, indexes, and schema evolution strategies.
• Experience with self-hosted MongoDB deployments, including installation, configuration, scaling, backup/restore, and monitoring.
• Build and maintain reporting and analytics pipelines using MongoDB Reporting suite.
• Develop, monitor, and tune MongoDB (both self-hosted and cloud-managed) deployments for scalability, reliability, and security.
• Collaborate with engineering and product teams to translate requirements into MongoDB-backed solutions.
• Support integration with Azure cloud services (e.g., Azure Cosmos DB for MongoDB, Azure Functions, Blob Storage).
• Maintain documentation and contribute to database standards and best practices.

(Nice to have) Support data ingestion and automation tasks using Python.

Qualifications:

Bachelor’s or master’s in computer science, Engineering, or related quantitative discipline.

Experience:

• 5 to 8 years of hands-on experience in data engineering or backend development with MongoDB.
• Demonstrated experience with self-hosted MongoDB, including cluster setup, maintenance, and troubleshooting.

Technical Competencies:

• Deep hands-on experience with

  MongoDB data modelling

  , schema design, and normalization/denormalization strategies.
• Strong proficiency in

  MongoDB development

  : aggregation pipelines, CRUD, performance tuning, and index management.
• Experience in building

  reporting and analytics

  using MongoDB Reporting suite.
• Experience with

  self-hosted MongoDB deployments

  (e.g., sharding, replication, monitoring, security configuration).
• Working knowledge of

  Azure cloud services

  (Azure Cosmos DB, VMs, App Service, networking for secure deployments).
• (Nice to have) Experience in

  Python

  for backend integration, data processing, or scripting