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Lead data engineer - data platform

Dublin
Manna Air Delivery
Data engineer
Posted: 23 April
Offer description

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.
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

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