Staff Data Engineer

The role

A Staff Data Engineer will own the technical strategy and long-term architecture for the data platform. You will architect analytics, semantic, and AI data layers while setting scalable standards and ensuring platform reliability.

What you will do

• Own the technical strategy for the data platform
• Define the multi-quarter architectural vision
• Architect the analytics, semantic, and AI data layers
• Define how core business metrics and intelligence data are modelled and governed
• Set architectural patterns, modelling conventions, and data contracts
• Grow senior engineers through design review, pairing, and mentorship
• Own reliability and trust at the platform level
• Set approach to observability, data quality, SLAs, and incident response
• Lead RCAs on serious failures and drive systemic fixes

Required qualifications

• Staff-level data engineer who has built and run data platforms for internal and external consumers
• Experience building architectures for data warehousing, data lakes, and both real-time and batch processing
• Experience with distributed, multi-tenant systems
• Data transformations using dbt, including patterns for large, complex projects
• Data storage (SQL / NoSQL): schema design, modelling at scale, and multi-tenant isolation
• Back-end engineering: Python
• Pipelines: streaming, CDC, correctness, replayability, and evolution over time
• Data quality and observability: validation, testing, data contracts, monitoring, alerting, and incident response
• Infrastructure as code and containerisation (Terraform, Kubernetes)

Nice to have

• Typescript/Node.JS

About the company

Beamery’s jobs, skills and tasks data platform helps organizations navigate challenges and make informed decisions across Talent Lifecycle Management. The company is on a mission to create equal access to meaningful work, skills and careers for all.