Data Engineer, Analytics Engineering

Rbsfuel

Hybrid
Canonical and semantic data layers
Data pipelines and modelling
Governed data products
Shape the canonical and semantic data layers that power our Analytics, AI, reporting, and self service capabilities

Job Summary

  • Shape the canonical and semantic data layers that power our Analytics, AI, reporting, and self service capabilities.
  • Design clean, reusable data assets from the ground up, turning them into trusted, governed data products.
  • Build a strong understanding of our Data Product ecosystem and contribute to the design and delivery of reusable Data Products.

Matching Summary

Shape the canonical and semantic data layers that power our Analytics, AI, reporting, and self service capabilities.

Skills & Requirements

Must-have

  • canonical and semantic data layers
  • data pipelines and modelling
  • governed data products
  • SQL and data modelling
  • modern analytics engineering practices

Nice-to-have

  • customer value through data
  • data engineering community engagement
  • cloud data platform expertise

Key Requirements

  • Significant experience as an Analytics Engineer, BI Engineer, or Data Architect
  • Proven track record of managing governed data products
  • Strong track record designing canonical data models
  • Excellent SQL and data modelling skills on modern formats like iceberg on AWS
  • Hands on experience with modern analytics in engineering practices
  • Ability to communicate complex data concepts in simple terms

Work Rights

Not specified

Tailored Resume

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