Lead Data Engineer - Data Platform

At Manna, we’re changing how the world receives things — by taking delivery to the skies.

Our mission is simple but ambitious: to make high-speed suburban delivery affordable, green, and safe. We design and build our own aviation-grade drones that deliver food, coffee, groceries, and more directly from local stores and vendors to people’s doors in just a few minutes.

We’re a team that Drive with Impact, are Safety Focused, and knows that the best ideas come from Team Players who show up as their Authentic Selves. We move fast, we are passionate about what we do, and we’re always pushing a growth mindset to be better in everything we do.

If you want to build world-changing technology with real-world impact (and have a bit of fun while doing it), you’ll love it here.

Welcome to Manna — where we deliver the future.

Role Purpose

We are hiring a Lead Data Engineer. This role is to 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. You’ll work closely with engineering, analytics, and leadership to shape data architecture, improve data quality, and support growing data needs.

Key Responsibilities

• 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

Requirements:
• 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 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

Nice to Have

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