Arbor

Arbor

Arbor is the leading cloud MIS provider in the UK, empowering schools and MATs to collaborate effectively, save time, and enhance pupil achievement through centralized data management and insightful analytics.

IT Services
51-250

Description

  • Lead the development and maintenance of dbt-enabled data models in Snowflake's Medallion architecture.
  • Transform raw data into Silver and Gold layers to support analytics and reporting.
  • Build and optimise data structures that power customer-facing BI products.
  • Design high-quality datasets for core applications, AI features, and LLM-driven functionality.
  • Use AI-assisted engineering tools to accelerate planning, architecture, and coding work.
  • Collaborate with Warehouse Data Engineers to improve upstream data quality.
  • Work with Product Managers and domain experts to translate business requirements into technical schemas.
  • Support data quality and observability practices using Datadog and dbt tests.
  • Review code and champion analytics engineering best practices within the team.

Requirements

  • Extensive experience building complex, performant data models in a modern warehouse such as Snowflake or Databricks, ideally using dbt.
  • Deep understanding of Jinja, macros, and dbt project structure.
  • Strong SQL skills for analytics use cases.
  • Comfort using basic Python for data manipulation tasks outside the standard SQL layer.
  • Proven experience with Bronze/Silver/Gold or similar medallion-style warehouse architectures.
  • Experience building data products for both external and internal customers.
  • Proactive interest in AI's impact on data engineering and experience using AI tools such as Cursor, CoCo, or LLMs.
  • Ability to bridge technical data engineering work with Product Managers and domain experts.
  • Experience working in an environment where quality, performance, and observability are core responsibilities.
  • Familiarity with Power BI or similar BI tools such as Looker, and with optimising data layers for BI consumption.
  • Experience with DataOps practices, including CI/CD pipelines such as GitHub Actions and automated testing frameworks.

Benefits

  • Remote working arrangement.
  • Salary of £75,000 - £80,000.
  • 32 days holiday including Bank Holidays, made up of 25 days annual leave plus 7 company-wide days.
  • Life assurance at 3x annual salary.
  • Private health and wellness support, including AIG Smart Health, 24/7 virtual GP access, counselling, mental health support, and health checks.
  • Private dental insurance with Bupa.
  • Enhanced maternity and adoption leave at 20 weeks full pay, plus 6 weeks full pay paternity leave.
  • Dedicated professional development budget for CPD courses, upskilling resources, and professional memberships.

Interested in this position?

Apply directly on the company website

Apply Now

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