Lead Data Engineer - Data Platform

We are hiring a Lead Data Engineer. This role is to help evolve Manna’s data infrastructure. This role combines hands‑on data engineering with ownership of our core data platform across Postgres and Snowflake. You will be responsible for building scalable data pipelines, managing database performance, and enabling analytics and AI‑driven use cases across the business.

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• Own and operate production, development, and reporting Postgres databases
  
• Manage and evolve the data platform architecture across Postgres and Snowflake
  
• Design, build, and maintain scalable data pipelines from raw files and source systems
  
• Develop and optimise data models for analytics and reporting use cases
  
• Manage Snowflake performance and cost efficiency
  
• Monitor and improve Postgres performance (query tuning, indexing, scaling)
  
• Ensure data platform security, access control, and governance
  
• Define and maintain data engineering standards, best practices, and documentation
  
• Introduce monitoring, alerting, and observability across data systems
  
• Work with teams to understand and deliver on their data requirements
  
• Support AI and advanced data use cases by preparing and managing high‑quality datasets
  
• Act as a key technical owner for data platform decisions and direction
  

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• 5+ years’ experience in data engineering or a similar role
  
• Strong SQL skills and experience with Postgres or similar relational databases
  
• Experience working with Snowflake or other cloud data warehouses
  
• Proven experience building and maintaining data pipelines and data xcfaprz models
  
• Experience optimising database performance and query efficiency
  
• Strong understanding of data governance, security, and best practices
  
• Experience working cross‑functionally with engineering and analytics teams
  
• Ability to take ownership of systems and drive technical decisions
  

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• Experience supporting AI/ML data workflows
  
• Experience with real‑time or streaming data pipelines
  
• Familiarity with modern data tooling and infrastructure