Senior Analytics Engineer
New
A
Arbor EducationEducation Technology
United KingdomFull-TimeSenior
Salary75000 - 80000 GBP per year
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Job Details
- Experience
- Extensive experience
- Required Skills
- PythonSQLMicrosoft Power BISnowflakedbtDatabricksLookerGitHub ActionsDatadog
Requirements
- Extensive experience building complex, performant data models within a modern warehouse (Snowflake, Databricks etc.)
- Extensive experience using dbt, with a deep understanding of Jinja, macros, and dbt project structure
- Mastery of SQL for analytics use cases
- Comfortable using basic Python for data manipulation tasks
- Proven experience working structured warehouse/lakehouse architectures, ideally within a Bronze/Silver/Gold framework (Medallion Architecture)
- Experience building data products for external and internal customers, with an understanding of how to balance performance with deep analytical utility (Product Thinking)
- Proactive interest in how AI is changing data engineering
- Ability to demonstrate how to use AI tools (like Cursor, CoCo or LLMs) to improve output and prepare data for AI consumption (AI-First Mindset)
- Ability to bridge the gap between technical data engineering and the needs of Product Managers and internal domain experts (Stakeholder Management)
- Demonstrable experience working in an environment where quality, performance, and observability are core responsibilities of the engineer (Ownership Culture)
- Familiarity with Power BI (or Looker, etc.) for front-end visualisation and an understanding of how to optimise the data layer for BI consumption (Bonus Skill)
- Experience with CI/CD pipelines for data (e.g., GitHub Actions) and automated testing frameworks (DataOps - Bonus Skill)
Responsibilities
- Lead the development and maintenance of our dbt-enabled data models, transforming raw data into Silver and Gold layers within our Snowflake Medallion architecture
- Build and optimise the data structures that power our customer-facing BI products, ensuring high performance and accuracy for our external users
- Architect and deliver high-quality data sets specifically designed to be consumed by both core applications, AI features and LLM-driven functionalities within the Arbor suite
- Embrace and pioneer the use of AI-assisted engineering tools to accelerate planning, architecting, and coding tasks, setting the standard for efficiency within the team
- Work closely with Warehouse Data Engineers to ensure upstream data quality
- Partner with Product Managers and domain experts to translate business requirements into technical schemas, bridging the product teams into the data function
- Support the wider data team in maintaining rigorous data quality and observability standards, utilising Datadog and dbt tests to ensure one version of the truth
- Act as a Senior pillar for the analytics engineering community, performing code reviews and championing best practices
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